Visible to the public ARP Poisoning Attack Detection Based on ARP Update State in Software-Defined Networks

TitleARP Poisoning Attack Detection Based on ARP Update State in Software-Defined Networks
Publication TypeConference Paper
Year of Publication2019
AuthorsKim, Y., Ahn, S., Thang, N. C., Choi, D., Park, M.
Conference Name2019 International Conference on Information Networking (ICOIN)
Date PublishedJan. 2019
PublisherIEEE
ISBN Number978-1-5386-8350-7
KeywordsAI Poisoning, ARP Poisoning, ARP Poisoning attack detection, ARP update state, computer network security, control systems, Firewalls (computing), Human Behavior, IP networks, networking environment, networking technology, Next generation networking, Protocols, pubcrawl, repetitive ARP reply, resilience, Resiliency, Safety, Scalability, SDN, security issues, Servers, service function chaining, SFC, SFC vulnerability, software defined networking, software-defined networking, Software-Defined Networks, Tools
Abstract

Recently, the novel networking technology Software-Defined Networking(SDN) and Service Function Chaining(SFC) are rapidly growing, and security issues are also emerging for SDN and SFC. However, the research about security and safety on a novel networking environment is still unsatisfactory, and the vulnerabilities have been revealed continuously. Among these security issues, this paper addresses the ARP Poisoning attack to exploit SFC vulnerability, and proposes a method to defend the attack. The proposed method recognizes the repetitive ARP reply which is a feature of ARP Poisoning attack, and detects ARP Poisoning attack. The proposed method overcomes the limitations of the existing detection methods. The proposed method also detects the presence of an attack more accurately.

URLhttps://ieeexplore.ieee.org/document/8718158
DOI10.1109/ICOIN.2019.8718158
Citation Keykim_arp_2019