Towards trust-aware collaborative intrusion detection: Challenges and solutions

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

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

5 Citationer (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.

OriginalsprogEngelsk
TitelTrust Management XI - 11th IFIP WG 11.11 International Conference, IFIPTM 2017, Proceedings
RedaktørerJan-Philipp Steghofer, Babak Esfandiari
Antal sider16
ForlagSpringer Publishing Company
Publikationsdato2017
Sider94-109
ISBN (Trykt)9783319591704
DOI
StatusUdgivet - 2017
Udgivet eksterntJa
Begivenhed11th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2017 - Gothenburg, Sverige
Varighed: 12 jun. 201716 jun. 2017

Konference

Konference11th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2017
Land/OmrådeSverige
ByGothenburg
Periode12/06/201716/06/2017
NavnI F I P Advances in Information and Communication Technology
Vol/bind505
ISSN1868-4238

Bibliografisk note

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

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