A scalable method for router attack detection and location in link state routing

Author

Chakrabarti, Anirban ; Manimaran, G.

fYear

2003

fDate

20-24 Oct. 2003

Firstpage

293

Lastpage

294

Abstract

The routing table poisoning attack is one of the most devastating and least researched topic among Internet attacks, which needs immediate research attention. In this paper, we develop a scalable method for detecting router attacks and locating the malicious routers (within a small bounded set of nodes) in link state routing protocols. We carry out analytical and simulation studies to evaluate the proposed secure link state protocol (SLIP) for two performance metrics, viz. attack detection probability and fault detection time, under different network and attack scenarios. Our studies show that the SLIP offers a very high attack detection capability with a little degradation in fault detection time compared to the link state protocol.

Keywords

Internet; routing protocols; security of data; telecommunication security; Internet attacks; attack detection probability; fault detection time; link state routing protocols; router attack detection; routing table poisoning attack; scalable method; secure link state protocol; Analytical models; Computer crime; Degradation; Delay; Fault detection; Fault diagnosis; Internet; Measurement; Performance analysis; Routing protocols;

fLanguage

English

Publisher

ieee

Conference_Titel

Local Computer Networks, 2003. LCN '03. Proceedings. 28th Annual IEEE International Conference on

ISSN

0742-1303

Print_ISBN

0-7695-2037-5

Type

conf

DOI

10.1109/LCN.2003.1243145

Filename

1243145