Aiman Erbad

Orcid: 0000-0001-7565-5253

According to our database1, Aiman Erbad authored at least 211 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Agent Deep Reinforcement Learning-Based Task Scheduling and Resource Sharing for O-RAN-Empowered Multi-UAV-Assisted Wireless Sensor Networks.
IEEE Trans. Veh. Technol., July, 2024

Novel Approach for Curbing Unfair Energy Consumption and Biased Model in Federated Edge Learning.
IEEE Trans. Green Commun. Netw., June, 2024

A Blockchain-Based Reliable Federated Meta-Learning for Metaverse: A Dual Game Framework.
IEEE Internet Things J., June, 2024

LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems.
IEEE Internet Things J., April, 2024

Stochastic Geometry-Based Physical-Layer Security Performance Analysis of a Hybrid NOMA-PDM-Based IoT System.
IEEE Internet Things J., January, 2024

Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers.
IEEE Open J. Commun. Soc., 2024

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas.
IEEE Open J. Commun. Soc., 2024

ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework.
IEEE Open J. Commun. Soc., 2024

Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems.
J. Netw. Comput. Appl., 2024

Optimized blockchain-based healthcare framework empowered by mixed multi-agent reinforcement learning.
J. Netw. Comput. Appl., 2024

ODL: Opportunistic Distributed Learning for Intelligent IoT Systems.
IEEE Internet Things Mag., 2024

Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems.
Future Gener. Comput. Syst., 2024

A Survey and Comparison of Post-Quantum and Quantum Blockchains.
IEEE Commun. Surv. Tutorials, 2024

RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments.
IEEE Access, 2024

Game-Theoretic Federated Meta-learning for Blockchain-Assisted Metaverse.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Energy-Aware Service Offloading for Semantic Communications in Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Multi-UAV Multi-RIS QoS-Aware Aerial Communication Systems Using DRL and PSO.
Proceedings of the IEEE International Conference on Communications, 2024

Edge-Assisted Opportunistic Federated Learning for Distributed IoT Systems.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

DRL-APNS: A Deep Reinforcement Learning-Powered Framework for Accurate Predictive Network Slicing Allocation.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Position-Based Emergency Message Dissemination Schemes in the Internet of Vehicles: A Review.
IEEE Trans. Intell. Transp. Syst., December, 2023

Toward Delay-Conscious Federated Learning: A Systems Perspective.
IEEE Internet Things Mag., December, 2023

PBCLR: Prediction-based control-plane load reduction in a software-defined IoT network.
Internet Things, December, 2023

Blockchain-Enabled land management systems.
Telecommun. Syst., November, 2023

Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Optimal Resource Management for Hierarchical Federated Learning Over HetNets With Wireless Energy Transfer.
IEEE Internet Things J., October, 2023

Data-Driven Participant Selection and Bandwidth Allocation for Heterogeneous Federated Edge Learning.
IEEE Trans. Syst. Man Cybern. Syst., September, 2023

CODE: Computation Offloading in D2D-Edge System for Video Streaming.
IEEE Syst. J., September, 2023

Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Cogn. Commun. Netw., August, 2023

SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts.
J. Netw. Comput. Appl., July, 2023

To transcode or not? A machine learning based edge video caching and transcoding strategy.
Comput. Electr. Eng., July, 2023

RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC).
IEEE Trans. Netw. Serv. Manag., June, 2023

Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning.
IEEE Trans. Netw. Serv. Manag., June, 2023

Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks.
IEEE Trans. Netw. Serv. Manag., June, 2023

D2DLive: Iterative live video streaming algorithm for D2D networks.
Comput. Networks, June, 2023

An Efficient Hierarchical Mobile IPv6 Group-Based BU Scheme for Mobile Nodes in IoT Network.
IEEE Internet Things J., May, 2023

Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach.
IEEE Trans. Netw. Serv. Manag., March, 2023

Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance.
IEEE Syst. J., March, 2023

Joint learning and optimization for Federated Learning in NOMA-based networks.
Pervasive Mob. Comput., February, 2023

Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks.
IEEE Commun. Mag., February, 2023

Video transcoding at the edge: cost and feasibility perspective.
Clust. Comput., February, 2023

Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks.
IEEE Internet Things J., 2023

Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms.
IEEE Internet Things J., 2023

Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues.
IEEE Internet Things J., 2023

AI-based UAV navigation framework with digital twin technology for mobile target visitation.
Eng. Appl. Artif. Intell., 2023

LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

BC-FL Location-Based Disease Detection in Healthcare IoT.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart Buildings.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Secure Wireless Sensor Networks for Anti-Jamming Strategy Based on Game Theory.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Performance Evaluation of Machine Learning-Based Misbehavior Detection Systems in VANETs: A Comprehensive Study.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

A Novel Optimal Wireless Thermal Sensor Placement Approach for Large Commercial Buildings.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

A Hybrid Approach for Food Name Recognition in Restaurant Reviews.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Enhancing Global Model Accuracy: Federated Learning for Imbalanced Medical Image Datasets.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

RL-CEALS: Reinforcement Learning for Collaborative Edge Assisted Live Streaming.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Intelligent DRL-Based Adaptive Region of Interest for Delay-Sensitive Telemedicine Applications.
Proceedings of the IEEE International Conference on Communications, 2023

Multi-Agent RL for SDN-Based Resource Allocation in HAPS-Assisted IoV Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Dynamic Pruning for Distributed Inference via Explainable AI: A Healthcare Use Case.
Proceedings of the IEEE International Conference on Communications, 2023

Reliable Federated Learning for Age Sensitive Mobile Edge Computing Systems.
Proceedings of the IEEE International Conference on Communications, 2023

Hierarchical DRL-empowered Network Slicing in Space-Air-Ground Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms.
Proceedings of the IEEE Global Communications Conference, 2023

2022
EEG Data for Patients Receiving Intravenous Antibiotic Medication.
Dataset, May, 2022

On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Optimal User-Edge Assignment in Hierarchical Federated Learning Based on Statistical Properties and Network Topology Constraints.
IEEE Trans. Netw. Sci. Eng., 2022

Deep Reinforcement Learning for Network Selection Over Heterogeneous Health Systems.
IEEE Trans. Netw. Sci. Eng., 2022

QDRL: QoS-Aware Deep Reinforcement Learning Approach for Tor's Circuit Scheduling.
IEEE Trans. Netw. Sci. Eng., 2022

RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning.
IEEE Trans. Netw. Sci. Eng., 2022

Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks.
IEEE Trans. Cogn. Commun. Netw., 2022

An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment.
IEEE Syst. J., 2022

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution.
Sensors, 2022

On Leveraging FemtoClouds for Federated Learning.
IEEE Internet Things Mag., 2022

Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization.
IEEE Internet Things J., 2022

LoRa-RL: Deep Reinforcement Learning for Resource Management in Hybrid Energy LoRa Wireless Networks.
IEEE Internet Things J., 2022

3-D Stochastic Geometry-Based Modeling and Performance Analysis of Efficient Security Enhancement Scheme for IoT Systems.
IEEE Internet Things J., 2022

Semi-Supervised Federated Learning Over Heterogeneous Wireless IoT Edge Networks: Framework and Algorithms.
IEEE Internet Things J., 2022

Fuzzy Elliptic Curve Cryptography for Authentication in Internet of Things.
IEEE Internet Things J., 2022

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data.
Future Gener. Comput. Syst., 2022

Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence.
IEEE Commun. Surv. Tutorials, 2022

FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning.
Comput. Commun., 2022

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges.
IEEE Access, 2022

RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT.
Proceedings of the 2022 Wireless Telecommunications Symposium, 2022

Dynamic LoRa Wireless Networks Powered by Hybrid Energy.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

PLS Performance Analysis of a Hybrid NOMA-OMA based IoT System with Mobile Sensors.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Dynamic Network Slicing and Resource Allocation for 5G-and-Beyond Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

Secure Medical Data Sharing For Healthcare System.
Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Region of Interest Optimization for Delay-sensitive Telemedicine Applications.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Balanced Energy Consumption Based on Historical Participation of Resource-Constrained Devices in Federated Edge Learning.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Leveraging Semi-Connected Devices To Enhance Federated Learning.
Proceedings of the 5th International Conference on Communications, 2022

On the Modeling of Reliability in Extreme Edge Computing Systems.
Proceedings of the 5th International Conference on Communications, 2022

FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Active Learning With Noisy Labelers for Improving Classification Accuracy of Connected Vehicles.
IEEE Trans. Veh. Technol., 2021

A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance.
IEEE Syst. J., 2021

Guest Editorial: Blockchain Envisioned Drones: Realizing 5G-Enabled Flying Automation.
IEEE Netw., 2021

Hierarchical Security Paradigm for IoT Multiaccess Edge Computing.
IEEE Internet Things J., 2021

I-SEE: Intelligent, Secure, and Energy-Efficient Techniques for Medical Data Transmission Using Deep Reinforcement Learning.
IEEE Internet Things J., 2021

MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange.
IEEE Internet Things J., 2021

Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach.
CoRR, 2021

Energy-Efficient Multi-Orchestrator Mobile Edge Learning.
CoRR, 2021

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey.
CoRR, 2021

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence.
CoRR, 2021

Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems.
Comput. Networks, 2021

Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast.
IEEE Access, 2021

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems.
IEEE Access, 2021

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core.
IEEE Access, 2021

QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol.
IEEE Access, 2021

RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems.
IEEE Access, 2021

Performance Analysis of PLS key generation-based Secure NOMA-enabled IoT Networks in the presence of Untrusted Users.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Smart and Secure Blockchain-based Healthcare System Using Deep Q-Learning.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Hierarchical Federated Learning for Collaborative IDS in IoT Applications.
Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021

Survey of Immersive Techniques for Surgical Care Telemedicine Applications.
Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021

UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Cooperative Machine Learning Techniques for Cloud Intrusion Detection.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Data Augmentation for Intrusion Detection and Classification in Cloud Networks.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Rational Contracts: Data-driven Service Provisioning in Blockchain-powered Systems.
Proceedings of the ICC 2021, 2021

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

ONSRA: an Optimal Network Selection and Resource Allocation Framework in multi-RAT Systems.
Proceedings of the ICC 2021, 2021

CAE Adaptive Compression, Transmission Energy and Cost Optimization for m-Health Systems.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints.
Proceedings of the IEEE Global Communications Conference, 2021

Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer.
Proceedings of the IEEE Global Communications Conference, 2021

Reinforcement Learning for Hybrid Energy LoRa Wireless Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning.
Proceedings of the IEEE Global Communications Conference, 2021

Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks.
Proceedings of the IEEE Global Communications Conference, 2021

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes.
Proceedings of the 9th European Workshop on Visual Information Processing, 2021

2020
Service-Less Video Multicast in 5G: Enablers and Challenges.
IEEE Netw., 2020

Machine Learning Based Cloud Computing Anomalies Detection.
IEEE Netw., 2020

ssHealth: Toward Secure, Blockchain-Enabled Healthcare Systems.
IEEE Netw., 2020

Collaborative hierarchical caching and transcoding in edge network with CE-D2D communication.
J. Netw. Comput. Appl., 2020

To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications.
Future Gener. Comput. Syst., 2020

RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos.
Future Gener. Comput. Syst., 2020

PCCP: Proactive Video Chunks Caching and Processing in edge networks.
Future Gener. Comput. Syst., 2020

I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management.
CoRR, 2020

Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data.
CoRR, 2020

Deanonymizing Tor hidden service users through Bitcoin transactions analysis.
Comput. Secur., 2020

Cybersecurity for industrial control systems: A survey.
Comput. Secur., 2020

Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities.
IEEE Access, 2020

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection.
IEEE Access, 2020

Weighted Trustworthiness for ML Based Attacks Classification.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Blockchain Based Decentralized Trust Management framework.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Smart Edge Healthcare Data Sharing System.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Iterative Per Group Feature Selection For Intrusion Detection.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

CE-D2D: Collaborative and Popularity-aware Proactive Chunks Caching in Edge Networks.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Smart Health Monitoring for Seizure Detection using Mobile Edge Computing.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Proportionally Fair approach for Tor's Circuits Scheduling.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020

Performance Evaluation of Hyperledger Fabric.
Proceedings of the IEEE International Conference on Informatics, 2020

Machine Learning Techniques for Network Anomaly Detection: A Survey.
Proceedings of the IEEE International Conference on Informatics, 2020

Hybrid Machine Learning for Network Anomaly Intrusion Detection.
Proceedings of the IEEE International Conference on Informatics, 2020

Traffic Analysis Attacks on Tor: A Survey.
Proceedings of the IEEE International Conference on Informatics, 2020

FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations.
Proceedings of the IEEE International Conference on Informatics, 2020

Energy-Efficient Networks Selection Based Deep Reinforcement Learning for Heterogeneous Health Systems.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems.
Proceedings of the IEEE Global Communications Conference, 2020

Navigation and Obstacle Avoidance System in Unknown Environment.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges.
IEEE Netw., 2019

Collaborative joint caching and transcoding in mobile edge networks.
J. Netw. Comput. Appl., 2019

RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database.
Future Gener. Comput. Syst., 2019

Exploring Micro-Services for Enhancing Internet QoS.
CoRR, 2019

Optimal Virtual Network Function Placement and Resource Allocation in Multi-Cloud Service Function Chaining Architecture.
CoRR, 2019

Security Services Using Blockchains: A State of the Art Survey.
IEEE Commun. Surv. Tutorials, 2019

The P-ART framework for placement of virtual network services in a multi-cloud environment.
Comput. Commun., 2019

Fault and performance management in multi-cloud virtual network services using AI: A tutorial and a case study.
Comput. Networks, 2019

Nutshell - Simulation Toolkit for Modeling Data Center Networks and Cloud Computing.
IEEE Access, 2019

Anonymity and Privacy in Bitcoin Escrow Trades.
Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society, 2019

A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Proactive Video Chunks Caching and Processing for Latency and Cost Minimization in Edge Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Compress or Interfere?
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

A Survey on Recent Approaches in Intrusion Detection System in IoTs.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Important Complexity Reduction of Random Forest in Multi-Classification Problem.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Empirical Performance Evaluation of QUIC Protocol for Tor Anonymity Network.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Green data center networks: a holistic survey and design guidelines.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

CE-D2D: Dual Framework Chunks Caching and offloading in Collaborative Edge networks with D2D communication.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Efficient EEG Mobile Edge Computing and Optimal Resource Allocation for Smart Health Applications.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Supervised Machine Learning Techniques for Efficient Network Intrusion Detection.
Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Transcoding Resources Forecasting and Reservation for Crowdsourced Live Streaming.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
QoE-aware distributed cloud-based live streaming of multisourced multiview videos.
J. Netw. Comput. Appl., 2018

Exploring microservices for enhancing internet QoS.
Trans. Emerg. Telecommun. Technol., 2018

Feasibility of Supervised Machine Learning for Cloud Security.
CoRR, 2018

When A Small Leak Sinks A Great Ship: Deanonymizing Tor Hidden Service Users Through Bitcoin Transactions Analysis.
CoRR, 2018

Efficient virtual network function placement strategies for Cloud Radio Access Networks.
Comput. Commun., 2018

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers.
Comput. Networks, 2018

Robustness quantification of hierarchical complex networks under targeted failures.
Comput. Electr. Eng., 2018

Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

2017
Fault and performance management in multi-cloud based NFV using shallow and deep predictive structures.
J. Reliab. Intell. Environ., 2017

Optimal virtual network function placement in multi-cloud service function chaining architecture.
Comput. Commun., 2017

Crowdsourced Multi-View Live Video Streaming using Cloud Computing.
IEEE Access, 2017

Multi-objective scheduling of micro-services for optimal service function chains.
Proceedings of the IEEE International Conference on Communications, 2017

Impact of Multiple Video Representations in Live Streaming: A Cost, Bandwidth, and QoE Analysis.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

Edge computing for interactive media and video streaming.
Proceedings of the Second International Conference on Fog and Mobile Edge Computing, 2017

Automated service delivery platform for C-RANs.
Proceedings of the Second International Conference on Fog and Mobile Edge Computing, 2017

Machine Learning for Anomaly Detection and Categorization in Multi-Cloud Environments.
Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

COLAP: A predictive framework for service function chain placement in a multi-cloud environment.
Proceedings of the IEEE 7th Annual Computing and Communication Workshop and Conference, 2017

2016
A survey on service function chaining.
J. Netw. Comput. Appl., 2016

2015
Multi-cloud Distribution of Virtual Functions and Dynamic Service Deployment: Open ADN Perspective.
Proceedings of the 2015 IEEE International Conference on Cloud Engineering, 2015

2014
Clouds + Games: A Multifaceted Approach.
IEEE Internet Comput., 2014

On Optimizing MMVEs in Network-Aware Clouds.
Proceedings of International Workshop on Massively Multiuser Virtual Environments, 2014

SAIS: Smartphone Augmented Infrastructure Sensing for Public Safety and Sustainability in Smart Cities.
Proceedings of the 1st International Workshop on Emerging Multimedia Applications and Services for Smart Cities, 2014

2012
Sender-side Buffers and the Case for Multimedia Adaptation.
ACM Queue, 2012

DOHA: scalable real-time web applications through adaptive concurrent execution.
Proceedings of the 21st World Wide Web Conference 2012, 2012

2010
Paceline: latency management through adaptive output.
Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems, 2010

2008
MAGIC Broker: A Middleware Toolkit for Interactive Public Displays.
Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008


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