Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/CBD.2013.27guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Pushing the Limits in Event Normalisation to Improve Attack Detection in IDS/SIEM Systems

Published: 13 December 2013 Publication History

Abstract

The current state of affairs regarding the way events are logged by IT systems is the source of many problems for the developers of Intrusion Detection Systems (IDS) and Security Information and Event Management (SIEM) systems. These problems stand in the way of the development of more accurate security solutions that draw their results from the data included within the logs they process. This is mainly caused by a lack of standards that can encapsulate all events in a coherent way. As a result, correlating between logs produced by different systems that use different log formats has been difficult and infeasible in many cases. In order to solve the challenges faced by Correlation Based Intrusion Detection Systems, we provide a platform for normalising events1 into a unified super event loosely based on the Common Event Expression standard (CEE) developed by the Mitre corporation. We show how our solution is able to normalise seemingly unrelated events into a unified format. Additionally, we demonstrate queries that can detect attacks on collections of normalised logs from different sources.

Cited By

View all
  • (2021)Combat Security Alert Fatigue with AI-Assisted TechniquesProceedings of the 14th Cyber Security Experimentation and Test Workshop10.1145/3474718.3474723(9-16)Online publication date: 9-Aug-2021
  • (2018)A framework for mastering heterogeneity in multi-layer security information and event correlationJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2015.11.01062:C(78-88)Online publication date: 30-Dec-2018
  • (2017)Event Driven Network Topology Discovery and Inventory Listing Using REAMSWireless Personal Communications: An International Journal10.1007/s11277-015-3061-394:3(415-430)Online publication date: 1-Jun-2017
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings
CBD '13: Proceedings of the 2013 International Conference on Advanced Cloud and Big Data
December 2013
206 pages
ISBN:9781479932610

Publisher

IEEE Computer Society

United States

Publication History

Published: 13 December 2013

Author Tags

  1. Event Management
  2. Event Normalisation
  3. Intrusion Detection
  4. Knowledge base

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 01 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2021)Combat Security Alert Fatigue with AI-Assisted TechniquesProceedings of the 14th Cyber Security Experimentation and Test Workshop10.1145/3474718.3474723(9-16)Online publication date: 9-Aug-2021
  • (2018)A framework for mastering heterogeneity in multi-layer security information and event correlationJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2015.11.01062:C(78-88)Online publication date: 30-Dec-2018
  • (2017)Event Driven Network Topology Discovery and Inventory Listing Using REAMSWireless Personal Communications: An International Journal10.1007/s11277-015-3061-394:3(415-430)Online publication date: 1-Jun-2017
  • (2015)Leveraging Event Structure for Adaptive Machine Learning on Big Data LandscapesSelected Papers of the First International Conference on Mobile, Secure, and Programmable Networking - Volume 939510.1007/978-3-319-25744-0_3(28-40)Online publication date: 15-Jun-2015
  • (undefined)Normalizing Security Events with a Hierarchical Knowledge BaseInformation Security Theory and Practice10.1007/978-3-319-24018-3_15(237-248)

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media