Chafiq Titouna

According to our database1, Chafiq Titouna authored at least 35 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
AReNet: Cascade learning of multibranch convolutional neural networks for human activity recognition.
Multim. Tools Appl., May, 2024

Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums.
CoRR, 2024

A Convolutional Neural Network-based Approach For Image Analysis and Injection Detection.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023
Asymmetric Byzantine Quorum Approach to Resolve Trust Issues in Decentralized Blockchain Oracles.
Proceedings of the International Conference on Software, 2023

An LSTM-Based Outlier Detection Approach for IoT Sensor Data in Hierarchical Edge Computing.
Proceedings of the International Conference on Software, 2023

Scalable Blockchain Through Prioritised Sharding.
Proceedings of the 6th International Conference on Advanced Communication Technologies and Networking, 2023

Scaling A Blockchain System With Layered Architecture.
Proceedings of the 6th International Conference on Advanced Communication Technologies and Networking, 2023

Prioritised Sharding: A Novel Approach to Enhance Blockchain Scalability.
Proceedings of the 5th Conference on Blockchain Research & Applications for Innovative Networks and Services, 2023

Scaling a Blockchain System from Eventual to Full Atomicity Using Confederation Approach.
Proceedings of the 5th Conference on Blockchain Research & Applications for Innovative Networks and Services, 2023

Scalable Blockchain System for Load Balancing DNS Servers Using Heuristic Sharding.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022
A False Data Injection Attack Detection Approach Using Convolutional Neural Networks in Unmanned Aerial Systems.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Detecting False Data Injections in Images Collected by Drones: A Deep Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2022

Malware Forensics: Legacy Solutions, Recent Advances, and Future Challenges.
Proceedings of the Advances in Computing, Informatics, Networking and Cybersecurity, 2022

2021
Securing Unmanned Aerial Systems Using Mobile Agents and Artificial Neural Networks.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

A Lightweight Security Technique For Unmanned Aerial Vehicles Against GPS Spoofing Attack.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Robustness of Image-based Android Malware Detection Under Adversarial Attacks.
Proceedings of the ICC 2021, 2021

2020
Hybrid Wireless Sensors Deployment Scheme with Connectivity and Coverage Maintaining in Wireless Sensor Networks.
Wirel. Pers. Commun., 2020

HGC: HyperGraph based Clustering scheme for power aware wireless sensor networks.
Future Gener. Comput. Syst., 2020

A Data Cleansing Approach In Smart Home Environments Using Artificial Neural Networks.
Proceedings of the 16th International Conference on Wireless and Mobile Computing, 2020

An Intelligent Malware Detection and Classification System Using Apps-to-Images Transformations and Convolutional Neural Networks.
Proceedings of the 16th International Conference on Wireless and Mobile Computing, 2020

An Online Anomaly Detection Approach For Unmanned Aerial Vehicles.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

An Efficient Probabilistic Model for Anomaly Prediction in Aerial Ad Hoc Networks.
Proceedings of the 14th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2020

Data Quality Improvements for Internet of Things Using Artificial Neural Networks.
Proceedings of the 14th IEEE International Conference on Advanced Networks and Telecommunications Systems, 2020

2019
DODS: A Distributed Outlier Detection Scheme for Wireless Sensor Networks.
Comput. Networks, 2019

Resource allocation scheme for 5G C-RAN: a Swarm Intelligence based approach.
Comput. Networks, 2019

A Novel Data Cleansing Approach for Sensitive Applications of Wireless Sensor Networks.
Proceedings of the International Conference on Smart Applications, 2019

A Multivariate Outlier Detection Algorithm for Wireless Sensor Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Cluster Head Recovery Algorithm for Wireless Sensor Networks.
Proceedings of the 6th International Conference on Control, 2019

2018
FDRA: Fault Detection and Recovery Algorithm for Wireless Sensor Networks.
Proceedings of the Mobile Web and Intelligent Information Systems, 2018

2017
Bacterial Foraging Optimization Scheme for Mobile Sensing in Wireless Sensor Networks.
Int. J. Wirel. Inf. Networks, 2017

Distributed Fault-Tolerant Algorithm for Wireless Sensor Networks.
Int. J. Commun. Networks Inf. Secur., 2017

Efficient and Scalable ACO-Based Task Scheduling for Green Cloud Computing Environment.
Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017

2016
FDS: Fault Detection Scheme for Wireless Sensor Networks.
Wirel. Pers. Commun., 2016

Adaptive scheme for collaborative mobile sensing in wireless sensor networks: Bacterial foraging optimization approach.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

2015
Outlier Detection Approach Using Bayes Classifiers in Wireless Sensor Networks.
Wirel. Pers. Commun., 2015


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