Towards Trust-Aware Collaborative Intrusion Detection: Challenges and Solutions

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.
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Emmanouil Vasilomanolakis, Sheikh Habib, Pavlos Milaszewicz, Rabee Malik, Max Mühlhäuser. Towards Trust-Aware Collaborative Intrusion Detection: Challenges and Solutions. 11th IFIP International Conference on Trust Management (TM), Jun 2017, Gothenburg, Sweden. pp.94-109, ⟨10.1007/978-3-319-59171-1_8⟩. ⟨hal-01651159⟩

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