Mitigating IoT data management security concerns through blockchain and machine learning based solutions: Study and Conceptual Design

Improving security and efficiency in IoT data management using BC based solutions

Blockchain-empowered federated learning based solutions for Internet of Things security, privacy, and performance

Machine Learning-based Techniques for Secure and Efficient IoT Data Management

Privacy Protection and Performance Enhancement in IoT Applications using Blockchain and Machine Learning Techniques

Methodological Considerations in Exploit Prediction Systems

Model-specific Explainable Artificial Intelligence techniques: State-of-the-art, Advantages and Limitations

Controller-Related Security Risks and Vulnerabilities in Software-Defined Networking

Study the impact of topology-related attacks in Software Defined Network

Study Of The Impact Of Side-channel Attacks On Software Defined Networks

Analysing different Distributed Denial of Service (DDoS) attacks and its solutions in SDN

Investigation of the evaluation techniques and tools used for model-specific XAI models

Model-Agnostic XAI Models: Benefits, Limitations and Research Directions

Investigation and Comparison of Evaluation Methods of Model-Agnostic Explainable AI Models

Explainable Artificial Intelligence (XAI) Techniques - A Review and Case Study

Analyzing Flow Rule Attacks and Policy Enforcement in Software Defined Networking

T-TRAIL: Preventing Decreased Rank Attacks in RPL-based IoT Networks

STIR: Preventing Routing Table Overload Attacks in RPL-based IoT Networks

RPL Attack Analysis: Evaluation of a Cryptography-Based Sybil Defence in IEEE 802.15.4

The performance of the routing protocol for low-power and lossy networks in mobile networks