{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:24:16Z","timestamp":1750307056348,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2012,8,3]],"date-time":"2012-08-03T00:00:00Z","timestamp":1343952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2012,8,3]]},"DOI":"10.1145\/2345396.2345565","type":"proceedings-article","created":{"date-parts":[[2012,8,7]],"date-time":"2012-08-07T12:28:17Z","timestamp":1344342497000},"page":"1054-1060","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["An evaluation of clustering technique over intrusion detection system"],"prefix":"10.1145","author":[{"given":"G. V.","family":"Nadiammai","sequence":"first","affiliation":[{"name":"Karpagam University, Coimbatore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Hemalatha","sequence":"additional","affiliation":[{"name":"Karpagam University, Coimbatore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,8,3]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Technical Report, James P Anderson co.","author":"Computer Security Threat Monitoring J.P","year":"1980","unstructured":"Anderson. J.P , \" Computer Security Threat Monitoring & Surveilance\" , Technical Report, James P Anderson co. , Fort Washington , Pennsylvania , 1980 . Anderson.J.P, \"Computer Security Threat Monitoring & Surveilance\", Technical Report, James P Anderson co., Fort Washington, Pennsylvania, 1980."},{"key":"e_1_3_2_1_2_1","volume-title":"Data Mining:Concepts and Techniques","year":"2006","unstructured":"Data Mining:Concepts and Techniques , 2 nd Edition, Jiawei Han and Kamber,Morgan kaufman Publishers, Elsevier Inc ., 2006 . Data Mining:Concepts and Techniques, 2nd Edition, Jiawei Han and Kamber,Morgan kaufman Publishers, Elsevier Inc.,2006.","edition":"2"},{"key":"e_1_3_2_1_3_1","unstructured":"http:\/\/bus.utk.edu\/stat\/stat579\/Hierarchical%20Clustering%20Methods.pdf  http:\/\/bus.utk.edu\/stat\/stat579\/Hierarchical%20Clustering%20Methods.pdf"},{"key":"e_1_3_2_1_4_1","unstructured":"http:\/\/mathworld.wolfram.com\/K-MeansClusteringAlgorithm.html  http:\/\/mathworld.wolfram.com\/K-MeansClusteringAlgorithm.html"},{"key":"e_1_3_2_1_5_1","volume-title":"Carnegie Mellon Software Engg","author":"Allen J.","year":"2000","unstructured":"J. Allen , A. Christie , W. Fithen , J. McHugh , J. Pickel , & E. Stoner , \"State of the practice of Intrusion Detection Technologies\", CMU\/SEI-99-TR-028 , Carnegie Mellon Software Engg . Institute . 2000 . J.Allen, A. Christie, W. Fithen, J. McHugh, J. Pickel, & E. Stoner, \"State of the practice of Intrusion Detection Technologies\", CMU\/SEI-99-TR-028, Carnegie Mellon Software Engg. Institute. 2000."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/2.781637"},{"key":"e_1_3_2_1_7_1","unstructured":"KDDCup'1999dataset.http:\/\/kdd.ics.uci.edu\/databases\/kddcup'99\/kddcup99.html.  KDDCup'1999dataset.http:\/\/kdd.ics.uci.edu\/databases\/kddcup'99\/kddcup99.html."},{"key":"e_1_3_2_1_8_1","volume-title":"Identifying false alarm for network intrusion detection system using hybrid data mining and decision tree. Malaysian Journal of computer science","author":"Annur N.B.","year":"2008","unstructured":"N.B. Annur , H. Sallehudin , A. Gani and O. Zakari . Identifying false alarm for network intrusion detection system using hybrid data mining and decision tree. Malaysian Journal of computer science , Vol. 21 , No .2, pp-101--115, 2008 . N.B.Annur, H. Sallehudin, A. Gani and O. Zakari. Identifying false alarm for network intrusion detection system using hybrid data mining and decision tree. Malaysian Journal of computer science, Vol.21, No.2, pp-101--115, 2008."},{"key":"e_1_3_2_1_9_1","unstructured":"N.Nagasarnya \"Potential Research into spatial cancer database by using data clustering techniques\" International journal of computer science and information security Vol. 9 No. 5 2011.  N.Nagasarnya \"Potential Research into spatial cancer database by using data clustering techniques\" International journal of computer science and information security Vol. 9 No. 5 2011."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.02.008"},{"key":"e_1_3_2_1_11_1","unstructured":"S.Nascimento \"A fuzzy clustering model of date & fuzzy c means\" IEEE communication society.  S.Nascimento \"A fuzzy clustering model of date & fuzzy c means\" IEEE communication society."},{"key":"e_1_3_2_1_12_1","first-page":"30","article-title":"Network Intrusion Detection Using Clustering: A Data Mining Approach","volume":"0975","author":"Ahmed Irfan","unstructured":"Sathyabama.S, Irfan Ahmed . M.S , Saravanan .A ,\" Network Intrusion Detection Using Clustering: A Data Mining Approach \", International Journal of Computer Application ( 0975-8887 ), Vol. 30 , No. 4, ISBN: 978-93-80864-87-5, DOI: 10.5120\/3670-5071, 2011. 10.5120\/3670-5071 Sathyabama.S, Irfan Ahmed.M.S, Saravanan.A,\"Network Intrusion Detection Using Clustering: A Data Mining Approach\", International Journal of Computer Application (0975-8887), Vol. 30, No. 4, ISBN: 978-93-80864-87-5, DOI: 10.5120\/3670-5071, 2011.","journal-title":"International Journal of Computer Application ("},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.11.007"},{"key":"e_1_3_2_1_14_1","volume-title":"10.5120\/2261-2906","author":"Kumar Shilendra","year":"2011","unstructured":"Shilendra Kumar , Shrivastava, Preeti Jain , \" Effective Anomaly Based Intrusion Detection Using Rough Set Theory & Support Vector Machine(0975-8887), Vol.18,No.3, DOI : 10.5120\/2261-2906 , 2011 . 10.5120\/2261-2906 Shilendra Kumar, Shrivastava, Preeti Jain, \"Effective Anomaly Based Intrusion Detection Using Rough Set Theory & Support Vector Machine(0975-8887), Vol.18,No.3, DOI: 10.5120\/2261-2906, 2011."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2007.03.025"},{"issue":"2","key":"e_1_3_2_1_16_1","first-page":"300","article-title":"An Efficient Evolutionary Algorithm for Cluster Analysis","volume":"4","author":"Niknam Taher","year":"2008","unstructured":"Taher Niknam , Bahman Bahmani Firouzi and Majid Nayeripour , \" An Efficient Evolutionary Algorithm for Cluster Analysis \", World Applied Sciences Journal Vol. 4 , No. 2 , pp- 300 -- 307 , 2008 . Taher Niknam,Bahman Bahmani Firouzi and Majid Nayeripour, \" An Efficient Evolutionary Algorithm for Cluster Analysis\", World Applied Sciences Journal Vol. 4, No.2, pp-300--307,2008.","journal-title":"World Applied Sciences Journal"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1114856"},{"volume-title":"DARPA Information Survivability Conference & Exposition,2001pp-89--100","author":"Lee Wenke","key":"e_1_3_2_1_18_1","unstructured":"Wenke Lee ,Stolfo, Salratore Chan , \" Real Time Data Mining-based Intrusion Detection\" , DARPA Information Survivability Conference & Exposition,2001pp-89--100 ,vol-1,IEEE Computer Society. Wenke Lee,Stolfo,Salratore Chan, \"Real Time Data Mining-based Intrusion Detection\", DARPA Information Survivability Conference & Exposition,2001pp-89--100,vol-1,IEEE Computer Society."},{"key":"e_1_3_2_1_19_1","first-page":"5645","article-title":"Design and Implementation of Intrusion Detection System Based on Data Mining","author":"Lan Yang","year":"2011","unstructured":"Yang Lan ,\" Design and Implementation of Intrusion Detection System Based on Data Mining \", Energy Procedia, vol-13 , pp- 5645 -- 5651 , 2011 . Yang Lan,\"Design and Implementation of Intrusion Detection System Based on Data Mining\", Energy Procedia, vol-13, pp- 5645--5651, 2011.","journal-title":"Energy Procedia, vol-13"},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the Fourth International Conference on Machine Learning and Cybernetics","author":"Zhang Yu-Fang","year":"2005","unstructured":"Yu-Fang Zhang , Zhong-Yang Xiong , Xiu-Qiong Wang , \" DISTRIBUTED INTRUSION DETECTION BASED ON CLUSTERING\" , Proceedings of the Fourth International Conference on Machine Learning and Cybernetics , Guangzhou , 2005 . Yu-Fang Zhang, Zhong-Yang Xiong, Xiu-Qiong Wang, \"DISTRIBUTED INTRUSION DETECTION BASED ON CLUSTERING\", Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 2005."}],"event":{"name":"ICACCI '12: 2012 International Conference on Advances in Computing, Communications and Informatics","sponsor":["ISCA International Society for Computers and Their Applications","RPS Research Publishing Services"],"location":"Chennai India","acronym":"ICACCI '12"},"container-title":["Proceedings of the International Conference on Advances in Computing, Communications and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2345396.2345565","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2345396.2345565","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T09:21:11Z","timestamp":1750238471000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2345396.2345565"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,3]]},"references-count":20,"alternative-id":["10.1145\/2345396.2345565","10.1145\/2345396"],"URL":"https:\/\/doi.org\/10.1145\/2345396.2345565","relation":{},"subject":[],"published":{"date-parts":[[2012,8,3]]},"assertion":[{"value":"2012-08-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}