Data driven detection strategy engine for better intrusion detection on cloud computing

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

View graph of relations

Author(s)

  • Daniel W.K. Tse
  • Lynna L.H. Zhang
  • Oscar Z.H. Cui
  • Sherry H.Z. Li

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - Pacific Asia Conference on Information Systems, PACIS 2014
PublisherPacific Asia Conference on Information Systems
Publication statusPublished - 2014

Conference

Title18th Pacific Asia Conference on Information Systems, PACIS 2014
PlaceChina
CityChengdu
Period24 - 28 June 2014

Link(s)

Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84928593009&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(c60ac9cf-87d6-4106-adbc-b43fc31fb009).html

Abstract

In this paper, we attempt to base on CIDS framework and initiate a Data Driven Detection Strategy Engine (3DSE), a new thinking on identifying suspected users by adopting Decision Tree and Logistic Regression techniques to mine the usage patterns (from audit log and alert log) of different cloud member. Moreover, according to the analytical mining results, we also propose a danger-coefficient ranking model, which allows system to adopt different security strategies to monitoring users of different security levels. Deploying this engine, cloud system can be automatically trained up and become more efficient and effective on intrusion detection.

Research Area(s)

  • Cloud computing, Coefficient Ranking, Decision tree, Intrusion detection, Logistic regression, Information Security

Fingerprint

Publication fingerprints text

100
detection INIS
100
data INIS
100
clouds INIS
100
engines INIS
100
intrusion INIS
100
Detection Method Keyphrases
100
Intrusion Detection Keyphrases
100
Cloud Computing Keyphrases
100
Data-driven Detecti... Keyphrases
100
Detection Computer Science
Full Fingerprint ›

Citation Format(s)

[ RIS ] [ BibTeX ]
Data driven detection strategy engine for better intrusion detection on cloud computing. / Tse, Daniel W.K.; Zhang, Lynna L.H.; Cui, Oscar Z.H. et al.
Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014. Pacific Asia Conference on Information Systems, 2014.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review