Skip to main navigation Skip to search Skip to main content

Sleuth: Real-time attack scenario reconstruction from COTS audit data

  • Md Nahid Hossain
  • , Sadegh M. Milajerdi
  • , Junao Wang
  • , Birhanu Eshete
  • , Rigel Gjomemo
  • , R. Sekar
  • , Scott D. Stoller
  • , V. N. Venkatakrishnan
  • Stony Brook University
  • University of Illinois at Chicago

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

330 Scopus citations

Abstract

We present an approach and system for real-time reconstruction of attack scenarios on an enterprise host. To meet the scalability and real-time needs of the problem, we develop a platform-neutral, main-memory based, dependency graph abstraction of audit-log data. We then present efficient, tag-based techniques for attack detection and reconstruction, including source identification and impact analysis. We also develop methods to reveal the big picture of attacks by construction of compact, visual graphs of attack steps. Our system participated in a red team evaluation organized by DARPA and was able to successfully detect and reconstruct the details of the red team’s attacks on hosts running Windows, FreeBSD and Linux.

Original languageEnglish
Title of host publicationProceedings of the 26th USENIX Security Symposium
PublisherUSENIX Association
Pages487-504
Number of pages18
ISBN (Electronic)9781931971409
StatePublished - 2017
Event26th USENIX Security Symposium, USENIX Security 2017 - Vancouver, Canada
Duration: Aug 16 2017Aug 18 2017

Publication series

NameProceedings of the 26th USENIX Security Symposium

Conference

Conference26th USENIX Security Symposium, USENIX Security 2017
Country/TerritoryCanada
CityVancouver
Period08/16/1708/18/17

Fingerprint

Dive into the research topics of 'Sleuth: Real-time attack scenario reconstruction from COTS audit data'. Together they form a unique fingerprint.

Cite this