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A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack

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dc.contributor.author Mkuzangwe, Nenekazi NP
dc.contributor.author Nelwamondo, Fulufhelo V
dc.date.accessioned 2017-06-07T08:05:06Z
dc.date.available 2017-06-07T08:05:06Z
dc.date.issued 2017-04
dc.identifier.citation Mkuzangwe, N.N.P. and Nelwamondo, F.V. 2017. A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack. Lecture Notes in Artificial Intelligence LNCS/LNAI, Kanazawa, Japan, 3-5 April 2017, p. 14-22. DOI: 10.1007/978-3-319-54430-4_2 en_US
dc.identifier.isbn 978-3-319-54430-4
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-3-319-54430-4_2?no-access=true
dc.identifier.uri DOI: 10.1007/978-3-319-54430-4_2
dc.identifier.uri http://hdl.handle.net/10204/9257
dc.description Copyright: 2017 Springer. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract Fuzzy logic is one of the powerful tools for reasoning under uncertainty and since uncertainty is an intrinsic characteristic of intrusion analysis, Fuzzy logic is therefore an appropriate tool to use to analyze intrusions in a Network. This paper presents a fuzzy logic based network intrusion detection system to predict neptune which is a type of a Transmission Control Protocol Synchronized (TCP SYN) flooding attack. The performance of the proposed fuzzy logic based system is compared to that of a decision tree which is one of the well-known machine learning techniques. The results indicate that the performance difference, in terms of predicting the proportion of attacks in the data, of the proposed system with respect to the decision tree is negligible. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Worklist;18501
dc.subject Fuzzy logic en_US
dc.subject Intrusion detection en_US
dc.subject Network intrusion detection system en_US
dc.subject Neptune en_US
dc.subject Decision tree en_US
dc.subject TCP SYN flooding attack en_US
dc.title A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Mkuzangwe, N. N., & Nelwamondo, F. V. (2017). A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack. Springer. http://hdl.handle.net/10204/9257 en_ZA
dc.identifier.chicagocitation Mkuzangwe, Nenekazi NP, and Fulufhelo V Nelwamondo. "A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack." (2017): http://hdl.handle.net/10204/9257 en_ZA
dc.identifier.vancouvercitation Mkuzangwe NN, Nelwamondo FV, A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack; Springer; 2017. http://hdl.handle.net/10204/9257 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mkuzangwe, Nenekazi NP AU - Nelwamondo, Fulufhelo V AB - Fuzzy logic is one of the powerful tools for reasoning under uncertainty and since uncertainty is an intrinsic characteristic of intrusion analysis, Fuzzy logic is therefore an appropriate tool to use to analyze intrusions in a Network. This paper presents a fuzzy logic based network intrusion detection system to predict neptune which is a type of a Transmission Control Protocol Synchronized (TCP SYN) flooding attack. The performance of the proposed fuzzy logic based system is compared to that of a decision tree which is one of the well-known machine learning techniques. The results indicate that the performance difference, in terms of predicting the proportion of attacks in the data, of the proposed system with respect to the decision tree is negligible. DA - 2017-04 DB - ResearchSpace DP - CSIR KW - Fuzzy logic KW - Intrusion detection KW - Network intrusion detection system KW - Neptune KW - Decision tree KW - TCP SYN flooding attack LK - https://researchspace.csir.co.za PY - 2017 SM - 978-3-319-54430-4 T1 - A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack TI - A fuzzy logic based network intrusion detection system for predicting the TCP SYN flooding attack UR - http://hdl.handle.net/10204/9257 ER - en_ZA


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