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Network intrusion detection in encrypted traffic

Papadogiannaki Eva, Tsirantonakis Giorgos, Ioannidis Sotirios

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URIhttp://purl.tuc.gr/dl/dias/8F439CEA-3888-4672-9B6F-C5627BFD160A-
Identifierhttps://doi.org/10.1109/DSC54232.2022.9888942-
Identifierhttps://ieeexplore.ieee.org/document/9888942-
Languageen-
Extent8 pagesen
TitleNetwork intrusion detection in encrypted trafficen
CreatorPapadogiannaki Evaen
CreatorTsirantonakis Giorgosen
CreatorIoannidis Sotiriosen
CreatorΙωαννιδης Σωτηριοςel
PublisherInstitute of Electrical and Electronics Engineersen
DescriptionThis work was supported by the projects CONCORDIA, CyberSANE and COLLABS funded by the European Commission under Grant Agreements No. 830927, No. 833683 and No. 871518.en
Content SummaryTraditional signature-based intrusion detection systems inspect packet headers and payloads to report any malicious or abnormal traffic behavior that is observed in the network. With the advent and rapid adoption of network encryption mechanisms, typical deep packet inspection systems that focus only on the processing of network packet payload contents are gradually becoming obsolete. Advancing intrusion detection tools to be also effective in encrypted networks is crucial. In this work, we propose a signature language indicating packet sequences. Signatures detect events of possible intrusions and malicious actions in encrypted networks using packet metadata. We demonstrate the effectiveness of this methodology using different tools for penetrating vulnerable web servers and a public dataset with traffic that originates from IoT malware. We implement the signature language and we integrate it into an intrusion detection system. Using our proposed methodology, the generated signatures can effectively and efficiently report intrusion attempts.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2024-07-29-
Date of Publication2022-
SubjectNetwork intrusion detectionen
SubjectInspectionen
SubjectMetadataen
SubjectNetwork securityen
SubjectThroughputen
SubjectWeb serversen
SubjectReal-time systemsen
Bibliographic CitationE. Papadogiannaki, G. Tsirantonakis and S. Ioannidis, "Network intrusion detection in encrypted traffic," in Proceedings of the 2022 IEEE Conference on Dependable and Secure Computing (DSC 2022), Edinburgh, United Kingdom, 2022, doi: 10.1109/DSC54232.2022.9888942.en

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