Towards trust-aware collaborative intrusion detection: Challenges and solutions

Emmanouil Vasilomanolakis*, Sheikh Mahbub Habib, Pavlos Milaszewicz, Rabee Sohail Malik, Max Mühlhäuser

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

Collaborative Intrusion Detection Systems (CIDSs) are an emerging field in cyber-security. In such an approach, multiple sensors collaborate by exchanging alert data with the goal of generating a complete picture of the monitored network. This can provide significant improvements in intrusion detection and especially in the identification of sophisticated attacks. However, the challenge of deciding to which extend a sensor can trust others, has not yet been holistically addressed in related work. In this paper, we firstly propose a set of requirements for reliable trust management in CIDSs. Afterwards, we carefully investigate the most dominant CIDS trust schemes. The main contribution of the paper is mapping the results of the analysis to the aforementioned requirements, along with a comparison of the state of the art. Furthermore, this paper identifies and discusses the research gaps and challenges with regard to trust and CIDSs.

Original languageEnglish
Title of host publicationTrust Management XI - 11th IFIP WG 11.11 International Conference, IFIPTM 2017, Proceedings
EditorsJan-Philipp Steghofer, Babak Esfandiari
Number of pages16
PublisherSpringer Publishing Company
Publication date2017
Pages94-109
ISBN (Print)9783319591704
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event11th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2017 - Gothenburg, Sweden
Duration: 12 Jun 201716 Jun 2017

Conference

Conference11th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2017
Country/TerritorySweden
CityGothenburg
Period12/06/201716/06/2017
SeriesI F I P Advances in Information and Communication Technology
Volume505
ISSN1868-4238

Bibliographical note

Funding Information:
This work has received funding from the European Union’s Horizon 2020 Research and Innovation Program, PROTECTIVE, under Grant Agreement No 700071.

Publisher Copyright:
© IFIP International Federation for Information Processing 2017.

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