An Immune Intrusion Detection Model Based on One-Class Classification Technology

Autor:	Caiming Liu, Run Chen, Hong Ying Qin, Bin Li, Yan Zhang
Rok vydání:	2012
Předmět:	Support vector machine Dimension (vector space) Anomaly-based intrusion detection system Network packet Feature vector General Engineering One-class classification Intrusion detection system Data mining computer.software_genre computer Mathematics Domain (software engineering)
Zdroj:	Advanced Materials Research. :979-984
ISSN:	1662-8985
Popis:	An intrusion detection model based on biological immune principle and one-class classification technology is proposed. The one-class classification technology named support vector domain description (SVDD) is applied to the proposed model. Simple multi-dimension feature vectors of network packets are mapped into high dimension feature space. The description models of the antibody and the self set are constructed. The evolution process of antibodies is described with math language. The theoretical analysis shows that the proposed model can detect network attack effectively, and unknown network attacks can be detected.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c59e480f1a81abf8bfe6ab85416bcd https://doi.org/10.4028/scientific5/amr.457-458.979 Zobrazit plný text záznamu