ARP poisoning attack detection based on arp update state in software-defined networks

  • Kim, Y.; 
  • Ahn, S.; 
  • Thang, N.C.; 
  • Choi, D.; 
  • Park, M.
Citations

SCOPUS

7

초록

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. © 2019 IEEE.

키워드

ARP Poisoning; SDN; SFC; Software defined networking; ARP poisoning; Detection methods; Networking environment; Networking technology; Security issues; Service functions; Software defined networking (SDN); Internet protocols
제목
ARP poisoning attack detection based on arp update state in software-defined networks
저자
Kim, Y.; Ahn, S.; Thang, N.C.; Choi, D.; Park, M.
DOI
10.1109/ICOIN.2019.8718158
발행일
2019-05
유형
Conference Paper
저널명
International Conference on Information Networking
권
2019-January
페이지
366 ~ 371