Title :
Reliable Behavioral Dataset for IPv6 Neighbor Discovery Protocol Investigation
Author :
Firas Najjar;Mohammad M. Kadhum
Author_Institution :
Nat. Adv. IPv6 Center, Univ. Sains Malaysia, Minden, Malaysia
Abstract :
Neighbor Discovery Protocol (NDP), which is the main supported protocol for IPv6, has some security issues due to its intuitive trust of every device inside the local area network. Securing NDP becomes an important research area as the Internet is deployed widely in public areas, such as airports, where the trust is not necessary between hosts, which may expose them to attacks. In addition, securing network from inside is necessary, particularly when security hierarchical exist between users. One of the major problems in conducting research on IPv6 security is the absence of a reliable dataset, which is essential in testing and evaluating the proposed solutions. This research develops a reliable dataset of IPv6 NDP by capturing the normal and abnormal behaviors of NDP using specific dependable tools. Reliable dataset helps to understand and distinguish between normal behavior and anomalies in IPv6 NDP.
Keywords :
"Protocols","IP networks","Internet","Intrusion detection","Reliability","Local area networks"
Conference_Titel :
IT Convergence and Security (ICITCS), 2015 5th International Conference on
DOI :
10.1109/ICITCS.2015.7293014