Skip to main navigation Skip to search Skip to main content

Intrusion Detection Using ASTDs

  • Université de Sherbrooke
  • Telecom Sudparis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

In this paper, we show the application of ASTDs to intrusion detection. ASTD is an executable, modular and graphical notation that allows for the composition of hierarchical state machines with process algebra operators to model complex attack phases. Overall, ASTD attack specifications are more concise than industrial tools like Snort, Zeek, and other attack languages in the literature. For intrusion detection, iASTD (the ASTD interpreter) and Zeek provided similar results. iASTD produced less false positives and a smaller number of true positives per attack than Snort, which is an important factor to deal with huge amounts of events. The processing time of iASTD on the real-time testbed is slower than Snort and Zeek, but it can be improved by compiling ASTD specifications into Zeek scripts.

Original languageEnglish
Title of host publicationAdvanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020
EditorsLeonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
PublisherSpringer
Pages1397-1411
Number of pages15
ISBN (Print)9783030440404
DOIs
Publication statusPublished - 1 Jan 2020
Event34th International Conference on Advanced Information Networking and Applications, AINA 2020 - Caserta, Italy
Duration: 15 Apr 2020 → 17 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1151 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference34th International Conference on Advanced Information Networking and Applications, AINA 2020
Country/TerritoryItaly
CityCaserta
Period15/04/20 → 17/04/20

Fingerprint

Dive into the research topics of 'Intrusion Detection Using ASTDs'. Together they form a unique fingerprint.

Cite this