Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

A trust-based approach against IP-spoofing attacks

Gonzalez, JM and Anwar, M and Joshi, JBD (2011) A trust-based approach against IP-spoofing attacks. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


IP-spoofing attacks remain one of the most damaging attacks in which an attacker replaces the original source IP address with a new one. Using the existing attacking tools to launch IP spoofing attacks, an attacker can now easily compromise access routers and not only the end-hosts. In this paper, we propose a trust-based approach using a Bayesian inference model that evaluates the trustworthiness of an access router with regards to forwarding packets without modifying their source IP address. The trust values for the access routers is computed by a judge router that samples all traffic being forwarded by the access routers. The simulation results show that our approach effectively detects malicious access routers. The results also show that our approach has a low impact on the network performance when no attack is present, and that it introduces little overhead traffic. © 2011 IEEE.


Social Networking:
Share |


Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Gonzalez, JM
Anwar, M
Joshi, JBDjjoshi@pitt.eduJJOSHI0000-0003-4519-9802
Date: 31 August 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: 2011 9th Annual International Conference on Privacy, Security and Trust, PST 2011
Page Range: 63 - 70
Event Type: Conference
DOI or Unique Handle: 10.1109/pst.2011.5971965
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781457705847
Related URLs:
Date Deposited: 10 Aug 2012 20:46
Last Modified: 01 May 2020 12:55


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item