[HTML][HTML] Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
Abstract The Internet of Things (IoT) has revolutionized various sectors by enabling
seamless device interaction. However, the proliferation of IoT devices has also raised …
seamless device interaction. However, the proliferation of IoT devices has also raised …
Artificial intelligence-based anomaly detection technology over encrypted traffic: a systematic literature review
As cyber-attacks increase in unencrypted communication environments such as the
traditional Internet, protected communication channels based on cryptographic protocols …
traditional Internet, protected communication channels based on cryptographic protocols …
Deep-efficient-guard: securing wireless ad hoc networks via graph neural network
S Masood, A Zafar - International Journal of Information Technology, 2024 - Springer
This study presents a new intrusion detection system (IDS) for Wireless Ad hoc Networks,
leveraging graph neural networks (GNN). Overcoming the challenges faced by traditional …
leveraging graph neural networks (GNN). Overcoming the challenges faced by traditional …
A review on graph-based approaches for network security monitoring and botnet detection
This survey paper provides a comprehensive overview of recent research and development
in network security that uses graphs and graph-based data representation and analytics …
in network security that uses graphs and graph-based data representation and analytics …
Unveiling encrypted traffic types through hierarchical network characteristics
The wide adoption of encrypted traffic brings challenges to network management. Previous
studies propose different approaches to tackle this problem. However, most of them still …
studies propose different approaches to tackle this problem. However, most of them still …
[HTML][HTML] Bot-DM: A dual-modal botnet detection method based on the combination of implicit semantic expression and graphical expression
G Wu, X Wang, Q Lu, H Zhang - Expert Systems with Applications, 2024 - Elsevier
A botnet is a group of hijacked devices that conduct various cyberattacks, which is one of the
most dangerous threats on the internet. Individuals or organizations can effectively detect …
most dangerous threats on the internet. Individuals or organizations can effectively detect …
DDoS attacks & defense mechanisms in SDN-enabled cloud: Taxonomy, review and research challenges
Software-defined Networking (SDN) is a transformative approach for addressing the
limitations of legacy networks due to decoupling of control planes from data planes. It offers …
limitations of legacy networks due to decoupling of control planes from data planes. It offers …
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
S Channappayya, BR Tamma - Advances in Neural …, 2024 - proceedings.neurips.cc
Intrusion detection is a form of anomalous activity detection in communication network traffic.
Continual learning (CL) approaches to the intrusion detection task accumulate old …
Continual learning (CL) approaches to the intrusion detection task accumulate old …
B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows
Threats on computer networks have been increasing rapidly, and irresponsible parties are
always trying to exploit vulnerabilities in the network to do various dangerous things. One …
always trying to exploit vulnerabilities in the network to do various dangerous things. One …
Toward generating a new cloud-based Distributed Denial of Service (DDoS) dataset and cloud intrusion traffic characterization
MM Shafi, AH Lashkari, V Rodriguez, R Nevo - Information, 2024 - mdpi.com
The distributed denial of service attack poses a significant threat to network security. Despite
the availability of various methods for detecting DDoS attacks, the challenge remains in …
the availability of various methods for detecting DDoS attacks, the challenge remains in …