IPv6 Detection Techniques and Solutions

The transition from IPv4 to IPv6 marks a significant evolution in internet protocol technology, bringing forth both opportunities and challenges. This paper conducts a thorough survey of various detection techniques and solutions specifically tailored for IPv6, addressing the unique security vulnerabilities inherent to this new protocol. We delve into the nuances of IPv6’s architecture that make traditional IPv4 detection methods inadequate, highlighting the necessity for specialized IPv6-focused strategies. The survey covers a broad range of techniques, including advanced intrusion detection systems, machine learning algorithms, and hybrid approaches. We critically analyze the effectiveness of these methods in detecting and mitigating common IPv6 threats like evasion attacks, distributed denial of service (DDoS) attacks, and fragmentation exploits. Additionally, the paper explores innovative solutions developed to address IPv6-specific vulnerabilities, such as improved packet inspection methods and enhanced firewall capabilities. Through this comprehensive review, we aim to provide insights into the current state of IPv6 detection techniques and offer guidance for future research and development in this crucial area of network security.