Burak Kantarci

Orcid: 0000-0003-0220-7956

Affiliations:
  • University of Ottawa, Canada


According to our database1, Burak Kantarci authored at least 265 papers between 2005 and 2024.

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Bibliography

2024
Unlocking Reconfigurability for Deep Reinforcement Learning in SFC Provisioning.
IEEE Netw. Lett., September, 2024

TableStrRec: framework for table structure recognition in data sheet images.
Int. J. Document Anal. Recognit., June, 2024

Dynamic Artificial Neural Network-Assisted GPS-Less Navigation for IoT-Enabled Drones.
IEEE Internet Things Mag., May, 2024

NTN-Aided Quality and Energy-Aware Data Collection in Time-Critical Robotic Wireless Sensor Networks.
IEEE Internet Things Mag., May, 2024

Fair and efficient resource allocation via vehicle-edge cooperation in 5G-V2X networks.
Veh. Commun., 2024

An AI-driven solution to prevent adversarial attacks on mobile Vehicle-to-Microgrid services.
Simul. Model. Pract. Theory, 2024

From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation.
IEEE Open J. Commun. Soc., 2024

LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness.
IEEE Open J. Commun. Soc., 2024

Evaluating and Mitigating Gender Bias in Generative Large Language Models.
Int. J. Comput. Commun. Control, 2024

Joint Optimization of Completion Ratio and Latency of Offloaded Tasks with Multiple Priority Levels in 5G Edge.
CoRR, 2024

A Novel Joint DRL-Based Utility Optimization for UAV Data Services.
CoRR, 2024

Efficient Prompting for LLM-based Generative Internet of Things.
CoRR, 2024

A New Realistic Platform for Benchmarking and Performance Evaluation of DRL-Driven and Reconfigurable SFC Provisioning Solutions.
CoRR, 2024

DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs.
CoRR, 2024

Adversarial Machine Learning-Enabled Anonymization of OpenWiFi Data.
CoRR, 2024

Machine learning-enabled hybrid intrusion detection system with host data transformation and an advanced two-stage classifier.
Comput. Networks, 2024

On the Interplay Between Network Metrics and Performance of Mobile Edge Offloading.
Proceedings of the IEEE International Conference on Communications, 2024

Bypassing a Reactive Jammer via NOMA-Based Transmissions in Critical Missions.
Proceedings of the IEEE International Conference on Communications, 2024

Deep Dict: Deep Learning-Based Lossy Time Series Compressor for IoT Data.
Proceedings of the IEEE International Conference on Communications, 2024

2023
Table detection for visually rich document images.
Knowl. Based Syst., December, 2023

Meta-Bandit: Spatial Reuse Adaptation via Meta-Learning in Distributed Wi-Fi 802.11ax.
IEEE Netw. Lett., December, 2023

How to cope with malicious federated learning clients: An unsupervised learning-based approach.
Comput. Networks, October, 2023

Guest Editorial Networking Enablers for 6G Use Cases.
IEEE Netw. Lett., September, 2023

SCVIC-TS-2022: Network intrusion data with original raw network packets.
Dataset, September, 2023

Data Instrumentation From IoT Network Traffic as Support for Security Management.
IEEE Trans. Netw. Serv. Manag., June, 2023

Utility-Aware Legitimacy Detection of Mobile Crowdsensing Tasks via Knowledge-Based Self Organizing Feature Map.
IEEE Trans. Mob. Comput., June, 2023

Practical Byzantine Fault Tolerance Based Robustness for Mobile Crowdsensing.
Distributed Ledger Technol. Res. Pract., June, 2023

Table Detection Dataset for Visually rich Documents.
Dataset, May, 2023

2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT.
Comput. Secur., April, 2023

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues.
Sensors, February, 2023

Distributed denial of service attack prediction: Challenges, open issues and opportunities.
Comput. Networks, February, 2023

A Continuous Actor-Critic Deep Q-Learning-Enabled Deployment of UAV Base Stations: Toward 6G Small Cells in the Skies of Smart Cities.
IEEE Open J. Commun. Soc., 2023

Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats.
ACM Comput. Surv., 2023

On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels.
CoRR, 2023

Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images.
CoRR, 2023

Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier.
CoRR, 2023

Revisiting Table Detection Datasets for Visually Rich Documents.
CoRR, 2023

Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses.
IEEE Commun. Surv. Tutorials, 2023

AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks.
Ad Hoc Networks, 2023

Secure Industrial IoT Systems via RF Fingerprinting Under Impaired Channels With Interference and Noise.
IEEE Access, 2023

Physical Layer Security Over UAV-to-Ground Channels with Shadowing.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Generative Adversarial Networks to Secure Vehicle-to-Microgrid Services.
Proceedings of the 2023 IEEE Virtual Conference on Communications (VCC), 2023

Channel Selection for Wi-Fi 7 Multi-Link Operation via Optimistic-Weighted VDN and Parallel Transfer Reinforcement Learning.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Analysis of Version Number Attack using Multiple RPL Instances.
Proceedings of the 12th International Conference on Networks, Communication and Computing, 2023

AI-based RF-Fingerprinting Framework and Implementation using Software-Defined Radios.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Multi-Modal OCR System for the ICT Global Supply Chain.
Proceedings of the IEEE International Conference on Communications, 2023

Knowledge-Based Zero-Touch Security under Host and Network Flow Features Merger.
Proceedings of the IEEE International Conference on Communications, 2023

RL meets Multi-Link Operation in IEEE 802.11be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation.
Proceedings of the IEEE International Conference on Communications, 2023

On the Impact of Malicious and Cooperative Clients on Validation Score-Based Model Aggregation for Federated Learning.
Proceedings of the IEEE International Conference on Communications, 2023

On Augmented Intelligence and Performance Anomaly Detection in Unlabeled OpenWiFi Data.
Proceedings of the IEEE International Conference on Communications, 2023

Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-Enabled IoTs: An Anticipatory Study.
Proceedings of the IEEE International Conference on Communications, 2023

Anomalous Behaviour Detection via Event-Based Metric with Sequential Tracking in a V2X Environment.
Proceedings of the IEEE Global Communications Conference, 2023

Multidomain transformer-based deep learning for early detection of network intrusion.
Proceedings of the IEEE Global Communications Conference, 2023

Welcome Message from the General Co-Chairs.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2023

2022

SCVIC-CIDS-2022: Bridging Networks and Hosts via Machine Learning-Based Intrusion Detection.
Dataset, September, 2022

SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection.
Dataset, August, 2022

A tutorial on AI-powered 3D deployment of drone base stations: State of the art, applications and challenges.
Veh. Commun., 2022

Near optimal scheduling for opportunistic spectrum access over block fading channels in cognitive radio assisted vehicular network.
Veh. Commun., 2022

Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

UAV-Driven Sustainable and Quality-Aware Data Collection in Robotic Wireless Sensor Networks.
IEEE Internet Things J., 2022

TableDet: An end-to-end deep learning approach for table detection and table image classification in data sheet images.
Neurocomputing, 2022

On cropped versus uncropped training sets in tabular structure detection.
Neurocomputing, 2022

A New Realistic Benchmark for Advanced Persistent Threats in Network Traffic.
IEEE Netw. Lett., 2022

Risk-aware Fine-grained Access Control in Cyber-physical Contexts.
DTRAP, 2022

Cooperate or not Cooperate: Transfer Learning with Multi-Armed Bandit for Spatial Reuse in Wi-Fi.
CoRR, 2022

Table Structure Recognition with Conditional Attention.
CoRR, 2022

Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems.
IEEE Commun. Surv. Tutorials, 2022

Guest Editorial: Wireless Energy Transfer in Future Networks.
IEEE Commun. Mag., 2022

Analysis of Augmentation Methods for RF Fingerprinting under Impaired Channels.
Proceedings of the WiseML@WiSec 2022: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning, 2022

Deep Q-learning-enabled Deployment of Aerial Base Stations in the Presence of Mobile Users.
Proceedings of the 20th ACM International Symposium on Mobility Management and Wireless Access on 20th ACM International Symposium on Mobility Management and Wireless Access, 2022

Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing.
Proceedings of the IEEE International Conference on Communications, 2022

Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing.
Proceedings of the IEEE International Conference on Communications, 2022

Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach.
Proceedings of the IEEE Global Communications Conference, 2022

Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition.
Proceedings of the IEEE Global Communications Conference, 2022

Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark.
Proceedings of the IEEE Global Communications Conference, 2022

Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services.
Proceedings of the IEEE Global Communications Conference, 2022

Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection.
Proceedings of the IEEE Global Communications Conference, 2022

Fine-grained Augmentation for RF Fingerprinting under Impaired Channels.
Proceedings of the 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022

2021
A Comparative Study of AI-Based Intrusion Detection Techniques in Critical Infrastructures.
ACM Trans. Internet Techn., 2021

AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy.
Pervasive Mob. Comput., 2021

Disaster resilience of optical networks: State of the art, challenges, and opportunities.
Opt. Switch. Netw., 2021

On blockchain integration into mobile crowdsensing via smart embedded devices: A comprehensive survey.
J. Syst. Archit., 2021

Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms.
IEEE Internet Things J., 2021

TabCellNet: Deep learning-based tabular cell structure detection.
Neurocomputing, 2021

Aggregation of Incentivized Learning Models in Mobile Federated Learning Environments.
IEEE Netw. Lett., 2021

Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms.
CoRR, 2021

Poisoning Attack Anticipation in Mobile Crowdsensing: A Competitive Learning-Based Study.
Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

Adversarial Machine Learning-Driven Fake Task Anticipation in Mobile Crowdsensing Systems.
Proceedings of the 15th IEEE International Conference on Service-Oriented System Engineering, 2021

Reputation-enabled Federated Learning Model Aggregation in Mobile Platforms.
Proceedings of the ICC 2021, 2021

Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data.
Proceedings of the ICC 2021, 2021

Federated Learning-Based Risk-Aware Decision to Mitigate Fake Task Impacts on Crowdsensing Platforms.
Proceedings of the ICC 2021, 2021

All Predict Wisest Decides: A Novel Ensemble Method to Detect Intrusive Traffic in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Unveiling the Wireless Network Limitations in Federated Learning.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2021

On the Impact of Data Integrity Attacks on Vehicle-to-Microgrid Services.
Proceedings of the 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2021

On Delay Sensitivity Clusters of Microgrid Data Aggregation Under LTE-A Links.
Proceedings of the 2021 IEEE International Black Sea Conference on Communications and Networking, 2021

2020
Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data.
IEEE Veh. Technol. Mag., 2020

Low-Latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach.
IEEE Trans. Smart Grid, 2020

Federated Learning in Smart City Sensing: Challenges and Opportunities.
Sensors, 2020

Game Theory in Mobile CrowdSensing: A Comprehensive Survey.
Sensors, 2020

Towards ensuring the reliability and dependability of vehicular crowd-sensing data in GPS-less location tracking.
Pervasive Mob. Comput., 2020

Artificial intelligence in deep learning algorithms for multimedia analysis.
Multim. Tools Appl., 2020

Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing.
Internet Things, 2020

Guest Editorial: Special Issue on Emerging Technology for Software Define Network Enabled Internet of Things.
Int. J. Parallel Program., 2020

Holistic design for deep learning-based discovery of tabular structures in datasheet images.
Eng. Appl. Artif. Intell., 2020

Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset.
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine Learning, 2020

On Coalitional and Non-Coalitional Games in the Design of User Incentives for Dependable Mobile Crowdsensing Services.
Proceedings of the 14th IEEE International Conference on Service Oriented Systems Engineering, 2020

Bridging Predictive Analytics and Mobile Crowdsensing for Future Risk Maps of Communities Against COVID-19.
Proceedings of the 18th ACM International Symposium on Mobility Management and Wireless Access, 2020

Participant Comfort Adaptation in Dependable Mobile Crowdsensing Services.
Proceedings of the 8th IEEE International Conference on Mobile Cloud Computing, 2020

Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

High Precision Deep Learning-Based Tabular Position Detection.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

A Novel Ensemble Method for Advanced Intrusion Detection in Wireless Sensor Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Self Organizing Feature Map-Integrated Knowledge-Based Deep Network Against Fake Crowdsensing Tasks.
Proceedings of the IEEE Global Communications Conference, 2020

Region-Aware Bagging and Deep Learning-Based Fake Task Detection in Mobile Crowdsensing Platforms.
Proceedings of the IEEE Global Communications Conference, 2020

Enterprise Security with Adaptive Ensemble Learning on Cooperation and Interaction Patterns.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

A Novel Reputation-aware Client Selection Scheme for Federated Learning within Mobile Environments.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

Machine Learning-Driven Event Characterization under Scarce Vehicular Sensing Data.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

Cost-aware Data Aggregation and Energy Decentralization with Electrical Vehicles in Microgrids through LTE Links.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2020

Deep Learning in Smart Health: Methodologies, Applications, Challenges.
Proceedings of the Connected Health in Smart Cities, 2020

2019
A Localization Method Avoiding Flip Ambiguities for Micro-UAVs with Bounded Distance Measurement Errors.
IEEE Trans. Mob. Comput., 2019

Guest Editors' Introduction: Special Section on Mobile Cloud Computing.
IEEE Trans. Cloud Comput., 2019

Big data aggregation in the case of heterogeneity: a feasibility study for digital health.
Int. J. Mach. Learn. Cybern., 2019

Clustering and reliability-driven mitigation of routing attacks in massive IoT systems.
J. Internet Serv. Appl., 2019

Contextual, Behavioral, and Biometric Signatures for Continuous Authentication.
IEEE Internet Comput., 2019

On the Feasibility of Deep Learning in Sensor Network Intrusion Detection.
IEEE Netw. Lett., 2019

Smart City System Design: A Comprehensive Study of the Application and Data Planes.
ACM Comput. Surv., 2019

A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities.
IEEE Commun. Surv. Tutorials, 2019

Toward Fog-Based Mobile Crowdsensing Systems: State of the Art and Opportunities.
IEEE Commun. Mag., 2019

Fog-Driven Context-Aware Architecture for Node Discovery and Energy Saving Strategy for Internet of Things Environments.
IEEE Access, 2019

Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing.
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019

Invited Paper: AI-Based Security Design of Mobile Crowdsensing Systems: Review, Challenges and Case Studies.
Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Deep Learning for the Detection of Tabular Information from Electronic Component Datasheets.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Deep Learning for Recognizing the Anatomy of Tables on Datasheets.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Trustworthiness and Comfort-Aware Participant Recruitment for Mobile Crowd-Sensing in Smart Environments.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

A Capacity-Aware User Recruitment Framework for Fog-Based Mobile Crowd-Sensing Platforms.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Delay Sensitivity-Aware Aggregation of Smart Microgrid Data Over Heterogeneous Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Self Organizing Feature Map for Fake Task Attack Modelling in Mobile Crowdsensing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Bridging Connected Vehicles with Artificial Intelligence for Smart First Responder Services.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Deep Learning-Based Detection of Fake Task Injection in Mobile Crowdsensing.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
SOBER-MCS: Sociability-Oriented and Battery Efficient Recruitment for Mobile Crowd-Sensing.
Sensors, 2018

Trajectory-Assisted Municipal Agent Mobility: A Sensor-Driven Smart Waste Management System.
J. Sens. Actuator Networks, 2018

Special Issue: Wireless Sensor and Actuator Networks for Smart Cities.
J. Sens. Actuator Networks, 2018

A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors.
CoRR, 2018

A continuous diversified vehicular cloud service availability framework for smart cities.
Comput. Networks, 2018

Sensing, communication and security planes: A new challenge for a smart city system design.
Comput. Networks, 2018

Soft Sensing in Smart Cities: Handling 3Vs Using Recommender Systems, Machine Intelligence, and Data Analytics.
IEEE Commun. Mag., 2018

A survey on the communication and network enablers for cloud-based services: state of the art, challenges, and opportunities.
Ann. des Télécommunications, 2018

MQTT-Driven Node Discovery for Integrated IoT-Fog Settings Revisited: The Impact of Advertiser Dynamicity.
Proceedings of the IEEE Symposium on Service-Oriented System Engineering, 2018

Gesture and Sociability-based Continuous Authentication on Smart Mobile Devices.
Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access, 2018

Microgrid Data Aggregation and Wireless Transfer Scheduling in the Presence of Time Sensitive Events.
Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access, 2018

MQTT-Driven Sustainable Node Discovery for Internet of Things-Fog Environments.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Emulating Smart City Sensors Using Soft Sensing and Machine Intelligence: A Case Study in Public Transportation.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Selective versus Non-Selective Acquisition of Crowd-Solicited IoT Data and Its Dependability.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

TA-CROCS: Trustworthiness-Aware Coalitional Recruitment of Crowd-Sensors.
Proceedings of the IEEE Global Communications Conference, 2018

Reliability-Driven Vehicular Crowd-Sensing: A Case Study for Localization in Public Transportation.
Proceedings of the IEEE Global Communications Conference, 2018

A Feasibility Study on Sustainability-Driven Infrastructure Management in Cloud Data Centers.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

On the Impact of Selective Data Acquisition in Mobile Crowd-Sensing Performance.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

Empowering Human-Computer Interaction in Securing Smartphone Sensing.
Proceedings of the 23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2018

2017
Sociability-Driven Framework for Data Acquisition in Mobile Crowdsensing Over Fog Computing Platforms for Smart Cities.
IEEE Trans. Sustain. Comput., 2017

A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid.
IEEE Trans. Ind. Informatics, 2017

Resiliency versus energy sustainability in optical inter-datacenter networks.
Opt. Switch. Netw., 2017

Big Sensed Data Meets Deep Learning for Smarter Health Care in Smart Cities.
J. Sens. Actuator Networks, 2017

Queuing Algorithm for Effective Target Coverage in Mobile Crowd Sensing.
IEEE Internet Things J., 2017

Multimedia recommendation and transmission system based on cloud platform.
Future Gener. Comput. Syst., 2017

Performance impacts of hybrid cloud storage.
Computing, 2017

Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing.
IEEE Access, 2017

Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things.
IEEE Access, 2017

CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments.
IEEE Access, 2017

Social Behaviometrics for Personalized Devices in the Internet of Things Era.
IEEE Access, 2017

Fairness-Aware Game Theoretic Approach for Service Management in Vehicular Clouds.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

CD-ASM: A new queuing paradigm to overcome bufferbloat effects in HetNets.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Vehicle as a resource for continuous service availability in smart cities.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Mitigating False Negative intruder decisions in WSN-based Smart Grid monitoring.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Trusted Third Party for service management in vehicular clouds.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Hierarchical trust-based black-hole detection in WSN-based smart grid monitoring.
Proceedings of the IEEE International Conference on Communications, 2017

Detection of spoofed identities on smartphones via sociability metrics.
Proceedings of the IEEE International Conference on Communications, 2017

Participatory detection of identity theft on mobile social platforms.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A probabilistic process learning approach for service composition in cloud networks.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Virtual machine migration and management for vehicular clouds.
Veh. Commun., 2016

Inter-Data Center Network Dimensioning under Time-of-Use Pricing.
IEEE Trans. Cloud Comput., 2016

The Smart Citizen Factor in Trustworthy Smart City Crowdsensing.
IT Prof., 2016

SONATA: Social Network Assisted Trustworthiness Assurance in Smart City Crowdsensing.
Int. J. Distributed Syst. Technol., 2016

Machine Learning in Cardiac Health Monitoring and Decision Support.
Computer, 2016

Cloud-centric multi-level authentication as a service for secure public safety device networks.
IEEE Commun. Mag., 2016

Anchor-Assisted and Vote-Based Trustworthiness Assurance in Smart City Crowdsensing.
IEEE Access, 2016

IEEE Access Special Section Editorial: Advances in Vehicular Clouds.
IEEE Access, 2016

Multiagent/Multiobjective Interaction Game System for Service Provisioning in Vehicular Cloud.
IEEE Access, 2016

Internet-of-everything oriented implementation of secure Digital Health (D-Health) systems.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

Mobile behaviometric framework for sociability assessment and identification of smartphone users.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

Game-Theoretic Recruitment of Sensing Service Providers for Trustworthy Cloud-Centric Internet-of-Things (IoT) Applications.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

Sociability-Driven User Recruitment in Mobile Crowdsensing Internet of Things Platforms.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

IoT-Big Data Software Ecosystems for Smart Cities Sensing: Challenges, Open Issues, and Emerging Solutions.
Proceedings of the Advances in Service-Oriented and Cloud Computing, 2016

A mobile platform for sociability-based continuous identification.
Proceedings of the 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, 2016

2015
Resilient design of a cloud system over an optical backbone.
IEEE Netw., 2015

Design of energy-efficient cloud systems via network and resource virtualization.
Int. J. Netw. Manag., 2015

Cyber-physical alternate route recommendation system for paramedics in an urban area.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

A Generalized Framework for Quality of Experience (QoE)-Based Provisioning in a Vehicular Cloud.
Proceedings of the IEEE International Conference on Ubiquitous Wireless Broadband, 2015

Sensing services in cloud-centric Internet of Things: A survey, taxonomy and challenges.
Proceedings of the IEEE International Conference on Communication, 2015

Anomaly detection and privacy preservation in cloud-centric Internet of Things.
Proceedings of the IEEE International Conference on Communication, 2015

Visualization of Health Monitoring Data Acquired from Distributed Sensors for Multiple Patients.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Crowdsensing with Social Network-Aided Collaborative Trust Scores.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

An Auction-Driven Multi-Objective Provisioning Framework in a Vehicular Cloud.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015

A reference model for crowdsourcing as a service.
Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015

Towards secure cloud-centric Internet of Biometric Things.
Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015

Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014
Smart grid monitoring with service differentiation via EPON and wireless sensor network convergence.
Opt. Switch. Netw., 2014

Energy-efficient design for multi-granular optical transport networks with optical reach consideration.
Opt. Switch. Netw., 2014

Trustworthy Sensing for Public Safety in Cloud-Centric Internet of Things.
IEEE Internet Things J., 2014

Cellular IP address provisioning in a heterogeneous wireless network.
Int. J. Commun. Syst., 2014

Dynamic Virtual Machine Migration in a vehicular cloud.
Proceedings of the IEEE Symposium on Computers and Communications, 2014

Delay tolerant EPC-BGP for discovery services in EPCGlobal networks.
Proceedings of the IEEE Symposium on Computers and Communications, 2014

Mobility-aware trustworthy crowdsourcing in cloud-centric Internet of Things.
Proceedings of the IEEE Symposium on Computers and Communications, 2014

Optical inter-data-center network design under resilience requirements and dynamic electricity pricing.
Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

Resilient optical inter-data-center network design.
Proceedings of the 16th International Conference on Transparent Optical Networks, 2014

Reputation-based sensing-as-a-service for crowd management over the cloud.
Proceedings of the IEEE International Conference on Communications, 2014

Trustworthy crowdsourcing via mobile social networks.
Proceedings of the IEEE Global Communications Conference, 2014

Provisioning delay effect of partaking a Trusted Third Party in a vehicular cloud.
Proceedings of the Global Information Infrastructure and Networking Symposium, 2014

Hybrid threshold-based distributed discovery service for the EPCglobal network.
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014

2013
A distributed framework for energy-efficient lightpaths in computational grids.
J. High Speed Networks, 2013

Two-stage report generation in long-reach EPON for enhanced delay performance.
Comput. Commun., 2013

Dynamic Cloud management for efficient stream processing.
Proceedings of the 2013 IEEE Symposium on Computers and Communications, 2013

Quality-of-service-aware fiber wireless sensor network gateway design for the smart grid.
Proceedings of the IEEE International Conference on Communications, 2013

Distributed discovery services via EPC-BGP for mobile RFID.
Proceedings of IEEE International Conference on Communications, 2013

Time of use (ToU)-awareness with inter-data center workload sharing in the cloud backbone.
Proceedings of IEEE International Conference on Communications, 2013

Minimum outage probability provisioning in an energy-efficient cloud backbone.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012
Availability and Cost-Constrained Long-Reach Passive Optical Network Planning.
IEEE Trans. Reliab., 2012

Energy efficiency in the extended-reach fiber-wireless access networks.
IEEE Netw., 2012

Designing an Energy-Efficient Cloud Network [Invited].
JOCN, 2012

Delay-Constrained Admission and Bandwidth Allocation for Long-Reach EPON.
J. Networks, 2012

Bandwidth Distribution Solutions for Performance Enhancement in Long-Reach Passive Optical Networks.
IEEE Commun. Surv. Tutorials, 2012

Greening the multi-granular optical transport network design under the optical reach constraint.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

Minimizing the provisioning delay in the cloud network: Benefits, overheads and challenges.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

Overcoming the energy versus delay trade-off in cloud network reconfiguration.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

Distributed management of energy-efficient lightpaths for computational grids.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

Multi-Granular Optical Transport Network design with dual power state.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2012

The impact of time of use (ToU)-awareness in energy and opex performance of a cloud backbone.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

Inter-and-intra data center VM-placement for energy-efficient large-Scale cloud systems.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2012

Optimal Reconfiguration of the Cloud Network for Maximum Energy Savings.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
Heterogeneous Clustering Of Sensor Network.
Proceedings of the 2nd International Conference on Ambient Systems, 2011

Reliable overlay topology design for the smart microgrid network.
IEEE Netw., 2011

Towards cellular IP address assignment in wireless heterogeneous sensor networks.
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011

Optimization models for reliable long-reach PON deployment.
Proceedings of the 16th IEEE Symposium on Computers and Communications, 2011

Energy-Efficient Cloud Services over Wavelength-Routed Optical Transport Networks.
Proceedings of the Global Communications Conference, 2011

Cost-Aware Smart Microgrid Network design for a sustainable smart grid.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011

2010
Periodic GATE Optimization (PGO): A New Service Scheme for Long-Reach Passive Optical Networks.
IEEE Syst. J., 2010

Availability and cost constrained fast planning of Passive Optical Networks under various survivability policies.
Proceedings of the 35th Annual IEEE Conference on Local Computer Networks, 2010

Class based availability considerations in GMPLS networks.
Proceedings of the 15th IEEE Symposium on Computers and Communications, 2010

Periodic GATE Optimization with QoS-awareness for Long-Reach Passive Optical Networks.
Proceedings of the 15th IEEE Symposium on Computers and Communications, 2010

2009
Availability-constrained routing and wavelength assignment and survivability in optical WDM networks (Optik WDM ağlarında kullanılabilirlik kısıtı altında yol ve dalgaboyu atama ve sürdürülebilirlik)
PhD thesis, 2009

2008
Loss rate-based burst assembly to resolve contention in optical burst switching networks.
IET Commun., 2008

Arranging shareability dynamically for the availability-constrained design of optical transport networks.
Proceedings of the 13th IEEE Symposium on Computers and Communications (ISCC 2008), 2008

Differentiated Availability-Aware Connection Provisioning in Optical Transport Networks.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Prioritized Contention Resolution Scheme for Grid Services over OBS Networks.
Proceedings of the Sixth Annual Conference on Communication Networks and Services Research (CNSR 2008), 2008

Performance optimization for fault localization in all-optical networks.
Proceedings of the 5th International ICST Conference on Broadband Communications, 2008

2007
Performance of OBS techniques under self-similar traffic based on various burst assembly techniques.
Comput. Commun., 2007

Prudent Creditization Polling (PCP): A Novel Adaptive Polling Service for an EPON.
Proceedings of the Optical Network Design and Modeling, 2007

2006
Burst loss rate: is it precise enough?
Proceedings of the International Symposium on Computer Networks, 2006

Path Loss Rate Driven Burst Assembly in OBS Networks.
Proceedings of the Computer and Information Sciences, 2006

Adaptive Threshold based Burst Assembly in OBS Networks.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

2005
Analyzing the Effects of Burst Assembly in Optical Burst Switching under Self-Similar Traffic.
Proceedings of the Telecommunications 2005: Advanced Industrial Conference on Telecommunications / Service Assurance with Partial and Intermittent Resources Conference / E-Learning on Telecommunications Workshop (AICT / SAPIR / ELETE 2005), 2005


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