University of Houston

Department of Computer Science

In Partial Fulfillment of the Requirements for the Degree of
Doctor of Philosophy

Jianhua Yang

Will defend his dissertation

Detecting and Preventing Stepping-stone Intrusion by Monitoring Network Packets

Abstract

Most computer intruders chain several previously compromised computers so as to hide themselves before launching attacks on a target computer. One way to stop such intruders is to detect the intrusions and prevent them from using compromised computers; another way is to trace them back. The former one is called stepping-stone detection, and the latter one is called connection traceback.

We propose three approaches to detect stepping-stone intrusion: Request-Response-based detection approach; Step-Function approach; Network Fluctuation-based approach, as well as two approaches to trace intrusions back: Temporal Thumbprint and Round-trip time thumbprint. The experiment results and theoretical analysis show that those approaches can perform better than existing stepping-stone intrusion detection and prevention approaches in terms of false positive rate, false negative rate, and the resistibility to intruders’ evasion, such as time jittering and chaff perturbation.

One common issue of the approaches proposed by us is to match TCP/IP packets. Matching packets is critical to stepping-stone intrusion detection and connection traceback. We formally model and study this problem and propose three approaches to match TCP/IP packets of an interactive session: TCP/IP protocol-based matching approach; clustering-partitioning matching approach; standard deviation-based matching approach.

Date: Monday, July 20, 2006
Time: 1:00 PM
Place: 550-PGH

Faculty, students, and the general public are invited.
Advisor: Prof. Stephen S.H. Huang