University of Illinois Urbana-Champaign

An experiment using factor graph for early attack detection

Cao, Phuong

Content Files
cao_phuong123.pdf

Permalink

https://hdl.handle.net/2142/78579

Description

Title
An experiment using factor graph for early attack detection
Author(s)
Cao, Phuong
Issue Date
2015-01-23
Director of Research (if dissertation) or Advisor (if thesis)
Iyer, Ravishankar K.
Committee Member(s)
Iyer, Ravishankar K
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2015-07-22T22:32:41Z
Keyword(s)
  • probabilistic graphical models
  • factor graph
  • security incidents
  • preemptive intrusion detection
Abstract
This paper presents a factor graph based framework (named AttackTagger) for high accuracy and preemptive detection of attacks. We use security logs of real-incidents that occurred over a six-year period at the National Center for Supercomputing Applications (NCSA) at the University of Illinois to evaluate AttackTagger. Our data consist of attacks that led directly to the target system being compromised, i.e., not detected in advance, either by the security analysts or by intrusion detection systems. AttackTagger can detect 74 percent of attacks before the system misuse. AttackTagger uncovered six hidden attacks that were not detected by security analysts.
Graduation Semester
2015-5
Type of Resource
text
Permalink
http://hdl.handle.net/2142/78579
Copyright and License Information
Copyright 2015 Phuong Cao

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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Computer Science
Dissertations and Theses from the Siebel School of Computer Science