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Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/277
DC FieldValueLanguage
dc.contributor.authorMichel Toulouseen_US
dc.contributor.authorP. K. Nguyenen_US
dc.date.accessioned2020-03-12T16:58:13Z-
dc.date.available2020-03-12T16:58:13Z-
dc.date.issued2017-
dc.identifier.citationhttps://soict.org/2017/en_US
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/277-
dc.description.abstractThis work concerns distributed consensus algorithms and application to a network intrusion detection system (NIDS) [21]. We consider the problem of defending the system against multiple data falsification attacks (Byzantine attacks), a vulnerability of distributed peer-to-peer consensus algorithms that has not been widely addressed in its practicality. We consider both naive (independent) and colluding attackers. We test three defense strategy implementations, two classified as outlier detection methods and one reputation-based method. We have narrowed our attention to outlier and reputation-based methods because they are relatively light computationally speaking. We have left out control theoretic methods which are likely the most effective methods, however their computational cost increase rapidly with the number of attackers. We compare the efficiency of these three implementations for their computational cost, detection performance, convergence behavior and possible impacts on the intrusion detection accuracy of the NIDS. Tests are performed based on simulations of distributed denial of service attacks using the KSL-KDD data set.en_US
dc.language.isoenen_US
dc.subjectNetwork intrusionen_US
dc.subjectAnomaly-baseden_US
dc.subjectOutlier Detectionen_US
dc.subjectReputation-baseden_US
dc.titleProtecting consensus seeking NIDS modules against multiple attackersen_US
dc.typeArticleen_US
dc.relation.conferenceThe 8th International Symposium on Information and Communication Technologyen_US
dc.relation.duration07-08/12/2017en_US
dc.relation.conferencevenueNha Trang, Viet Namen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Conference papers
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