Veerasamy, NamoshaMokhonoana, PMVorster, J2009-03-052009-03-052006-07Veerasamy, N, Mokhonoana, PM and Vorster, J. 2006. Applying data-mining techniques in honeypot analysis. Information Security South Africa conference (ISSA2006), 1-5 July, pp 9.http://hdl.handle.net/10204/3127Information Security South Africa Conference (ISSA2006),1-5 July 2006This paper proposes the use of a data mining techniques to analyse the data recorded by the honeypot. This data can also be used to train Intrusion Detection Systems (IDS) in identifying attacks. Since the training is based on real data it will better identify and classify attacks than the rule based intrusion IDS’senData miningHoneypotsIntrusion-detection system (IDS)Conference PresentationVeerasamy, N., Mokhonoana, P., & Vorster, J. (2006). Applying data-mining techniques in honeypot analysis. http://hdl.handle.net/10204/3127Veerasamy, Namosha, PM Mokhonoana, and J Vorster. "Applying data-mining techniques in honeypot analysis." (2006): http://hdl.handle.net/10204/3127Veerasamy N, Mokhonoana P, Vorster J, Applying data-mining techniques in honeypot analysis; 2006. http://hdl.handle.net/10204/3127 .TY - Conference Presentation AU - Veerasamy, Namosha AU - Mokhonoana, PM AU - Vorster, J AB - This paper proposes the use of a data mining techniques to analyse the data recorded by the honeypot. This data can also be used to train Intrusion Detection Systems (IDS) in identifying attacks. Since the training is based on real data it will better identify and classify attacks than the rule based intrusion IDS’s DA - 2006-07 DB - ResearchSpace DP - CSIR KW - Data mining KW - Honeypots KW - Intrusion-detection system (IDS) LK - https://researchspace.csir.co.za PY - 2006 T1 - Applying data-mining techniques in honeypot analysis TI - Applying data-mining techniques in honeypot analysis UR - http://hdl.handle.net/10204/3127 ER -