"Deep Q-ICAN: A Deep Reinforcement Learning-based Approach for Real-time CPA Attack Detection and Mitigation in NDN Architecture"
Computer Networks, 2025
This paper presents Deep Q-ICAN, a novel deep reinforcement learning approach for real-time detection and mitigation of Cache Pollution Attacks in Named Data Networking architecture, achieving 98% cache hit ratio and 98.87% detection accuracy.
Deep Learning
NDN Security
Reinforcement Learning
Cache Pollution
"Improving NDN Resilience: A Novel Mitigation Mechanism Against Cache Pollution Attack"
2024 International Wireless Communications and Mobile Computing (IWCMC), IEEE, 2024
This research proposes a novel mitigation mechanism to improve Named Data Networking resilience against cache pollution attacks, enhancing network performance and security in wireless communications environments.
NDN
Wireless Communications
Attack Mitigation
Network Resilience
"Q-ICAN: A Q-learning based Cache Pollution Attack Mitigation Approach for Named Data Networking"
Computer Networks, Vol. 235, 2023
This paper introduces Q-ICAN, an intelligent Q-learning based technique for detecting and mitigating cache pollution attacks in NDN, achieving 95.09% accuracy rate and 94% cache hit ratio while reducing average retrieval delay by 18%.
Q-Learning
NDN Security
Cache Pollution
Machine Learning
"A Survey on Security Attacks and Intrusion Detection Mechanisms in Named Data Networking"
Computers, 2022
A comprehensive survey examining security attacks and intrusion detection mechanisms in Named Data Networking, analyzing vulnerabilities and proposing solutions for enhanced network security in NDN architecture.
NDN Security
Intrusion Detection
Survey
Network Security
"A Detection Mechanism for Cache Pollution Attack in Named Data Network Architecture"
Advanced Information Networking and Applications (AINA-2022), Springer, 2022
This research presents a novel detection mechanism for cache pollution attacks in Named Data Network architecture, focusing on improving network performance and security through intelligent attack detection strategies.
NDN
Attack Detection
Cache Security
Network Architecture
"Attacks, Detection Mechanisms and Their Limits in Named Data Networking (NDN)"
ICCSA 2023 - 23rd International Conference on Computational Science and Its Applications, 2022
This paper analyzes various attacks in Named Data Networking, examines existing detection mechanisms, and identifies their limitations, providing insights for future security enhancements in NDN architecture.
NDN Attacks
Detection Mechanisms
Security Analysis
Network Security
"Cache Pollution Attacks in the NDN Architecture: Impact and Analysis"
SoftCOM 2021 - 29th International Conference on Software, Telecommunications and Computer Networks, 2021
This research analyzes the impact of cache pollution attacks in Named Data Networking architecture, providing comprehensive analysis of attack vectors and their effects on network performance and security.
Cache Pollution
NDN Architecture
Impact Analysis
Network Security