Hashed-K-Means: A Proposed Intrusion Detection Algorithm

Autor:	Saugat P. K. Chetry, Samarjeet Borah, Pramod Kr Singh
Rok vydání:	2011
Předmět:	Intrusion Anomaly-based intrusion detection system Computer science k-means clustering Attack patterns Anomaly detection Intrusion detection system Data mining Intrusion prevention system Cluster analysis computer.software_genre computer Algorithm
Zdroj:	Communications in Computer and Information Science ISBN: 9783642257339
Popis:	Intrusion Detection Systems detect the malicious attacks which generally include theft of information or data. It is found from the studies that clustering based intrusion detection methods may be helpful in detecting unknown attack patterns compared to traditional intrusion detection systems. In this paper a new clustering algorithm is proposed to work on network intrusion data. The algorithm is experimented with KDD99 dataset and found satisfactory results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::173b4e2f4d844927304f0f9b99883ee1 https://doi.org/10.1007/978-3-642-25734-6_153 Zobrazit plný text záznamu