{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T09:43:00Z","timestamp":1778578980302,"version":"3.51.4"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Computer Journal"],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1093\/comjnl\/bxv078","type":"journal-article","created":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T23:57:31Z","timestamp":1443743851000},"page":"923-943","source":"Crossref","is-referenced-by-count":13,"title":["Multi-Measure Multi-Weight Ranking Approach for the Identification of the Network Features for the Detection of DoS and Probe Attacks"],"prefix":"10.1093","volume":"59","author":[{"given":"Sangeeta","family":"Bhattacharya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Selvakumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2015,10,1]]},"reference":[{"key":"2016061607274197000_59.6.923.1","doi-asserted-by":"crossref","unstructured":"Chen Y. , Li Y. , Cheng X. and Guo L. (2006) Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System. Proc. 2nd SKLOIS Conf., Beijing, China, 29 November\u2013December 1, pp. 153\u2013167. Springer, Berlin, Heidelberg.","DOI":"10.1007\/11937807_13"},{"key":"2016061607274197000_59.6.923.2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.845141"},{"key":"2016061607274197000_59.6.923.3","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"2016061607274197000_59.6.923.4","doi-asserted-by":"crossref","unstructured":"Mukkamala S. and Sung A.H. (2005) Significant Feature Selection using Computational Intelligent Techniques for Intrusion Detection. In Maulik, U. , Holder, Lawrence B. and Cook, D.J. (eds) Advanced Methods for Knowledge Discovery from Complex Data. Springer, London.","DOI":"10.1007\/1-84628-284-5_11"},{"key":"2016061607274197000_59.6.923.5","doi-asserted-by":"crossref","unstructured":"Yao J. , Zhao S. and Fan L. (2006) An Enhanced Support Vector Machine Model for Intrusion Detection. Proc. 1st Int. Conf. Rough Sets and Knowledge Technology, RSKT 2006, Chongquing, China, July 24\u201326, pp. 538\u2013543. Springer, Berlin, Heidelberg.","DOI":"10.1007\/11795131_78"},{"key":"2016061607274197000_59.6.923.6","doi-asserted-by":"crossref","unstructured":"Li Y. , Fang B. , Guo L. and Chen Y. (2007) Network Anomaly Detection based on TCM-KNN Algorithm. Proc. 2nd ACM Symp. Information, Computer and Communications Security, ASIACCS'07, Singapore, March 20\u201322, pp. 13\u201319. ACM, New York.","DOI":"10.1145\/1229285.1229292"},{"key":"2016061607274197000_59.6.923.7","doi-asserted-by":"crossref","unstructured":"Zi L. , Yearwood J. and Wu X.W. (2010) Adaptive Clustering with Feature Ranking for DDoS Attacks Detection. Proc. 4th Int. Conf. Network and System Security, Melbourne, VIC, September 1\u20133, pp. 281\u2013286. IEEE.","DOI":"10.1109\/NSS.2010.70"},{"key":"2016061607274197000_59.6.923.8","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2011.07.001"},{"key":"2016061607274197000_59.6.923.9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2011.01.002"},{"key":"2016061607274197000_59.6.923.10","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-012-0296-4"},{"key":"2016061607274197000_59.6.923.11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2013.03.008"},{"key":"2016061607274197000_59.6.923.12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.04.038"},{"key":"2016061607274197000_59.6.923.13","doi-asserted-by":"crossref","unstructured":"Eid H.F. , Hassanien A.E. , Kim T. and Banerjee S. (2013) Linear Correlation-Based Feature Selection for Network Intrusion Detection Model. Proc. 1st Int. Conf. Advances in Security of Information and Communication Networks, Cairo, Egypt, September 3\u20135, pp. 240\u2013248. Springer, Berlin, Heidelberg,","DOI":"10.1007\/978-3-642-40597-6_21"},{"key":"2016061607274197000_59.6.923.14","unstructured":"Mukkamala S. and Sung A.H. (2002) Feature Ranking and Selection for Intrusion Detection Systems Using Support Vector Machines. Proc. 2nd Digital Forensic Research Workshop, Citeseer."},{"key":"2016061607274197000_59.6.923.15","doi-asserted-by":"crossref","unstructured":"Mukkamala S. and Sung A.H. (2003) Detecting denial of service attacks using Support Vector Machines. 12th IEEE Int. Conf. Fuzzy Systems, St Louis, MO, USA, May 25\u201328, pp. 1231\u20131236. IEEE, New Jersey.","DOI":"10.1109\/FUZZ.2003.1206607"},{"key":"2016061607274197000_59.6.923.16","doi-asserted-by":"crossref","unstructured":"Middlemis M.J. and Dick G. (2003) Weighted feature extraction using a Genetic Algorithm for Intrusion Detection. Congress on Evolutionary Computation, CEC-03, Canberra, Australia, December 8\u201312, pp. 1669\u20131675. IEEE, New Jersey.","DOI":"10.1109\/CEC.2003.1299873"},{"key":"2016061607274197000_59.6.923.17","doi-asserted-by":"crossref","unstructured":"Zaman S. and Karray F. (2009) Features selection for intrusion detection systems based on support vector machines. Proc. 6th IEEE Conf. Consumer Communications and Networking Conference, CCNS 2009, Las Vegas, NV, January 10\u201313, pp. 1\u20138. IEEE, New Jersey.","DOI":"10.1109\/CCNC.2009.4784780"},{"key":"2016061607274197000_59.6.923.18","unstructured":"Fayyad U.M. and Irani K.B. (1993) Multi-Interval Discretization of Continuous-Valued Features For Classification Learning. Proceedings of the Thirteenth International Conference on Artificial Intelligence, Chambery, France, pp. 1022\u20131027. Morgan Kaufmann Publishers, Burlington, MA."},{"key":"2016061607274197000_59.6.923.19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016304305535"},{"key":"2016061607274197000_59.6.923.20","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","article-title":"SMOTE: synthetic minority over-sampling technique","volume":"16","author":"Chawla","year":"2002","journal-title":"J. Artif. Intell. Res."},{"key":"2016061607274197000_59.6.923.21","doi-asserted-by":"crossref","unstructured":"Corder G.W. and Foreman D.I. (2009) Comparing Two Unrelated Samples: The Mann\u2013Whitney U-Test. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach, Wiley-Blackwell, NJ.","DOI":"10.1002\/9781118165881"},{"key":"2016061607274197000_59.6.923.22","unstructured":"Conitzer V. , Davenport A. and Kalagnanam J. (2006) Improved bounds for computing Kemeny rankings. Proc. 21st National Conf. Artificial Intelligence, AAAI-06, Boston, MA, July 16\u201320, pp. 620\u2013626. AAAI Press, CA, USA."},{"key":"2016061607274197000_59.6.923.23","unstructured":"KDD Cup 1999 Data. http:\/\/kdd.ics.uci.edu\/databases\/kddcup99\/kddcup99.html (accessed January 15, 2014)."},{"key":"2016061607274197000_59.6.923.24","doi-asserted-by":"crossref","unstructured":"Mahoney M.V. and Chan P.K. (2003) An Analysis of the 1999 DARPA\/Lincoln Laboratory Evaluation Data for Network Anomaly Detection. Proc. 6th Int. Symp. Recent Advances in Intrusion Detection, RAID 2003, Pittsburgh, PA, USA, September 8\u201310, pp. 220\u2013237. Springer, Berlin, Heidelberg.","DOI":"10.1007\/978-3-540-45248-5_13"},{"key":"2016061607274197000_59.6.923.25","doi-asserted-by":"publisher","DOI":"10.1145\/382912.382923"},{"key":"2016061607274197000_59.6.923.26","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022631118932"},{"key":"2016061607274197000_59.6.923.27","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025667309714"},{"key":"2016061607274197000_59.6.923.28","unstructured":"Cheng J. and Greiner R. (1999) Comparing Bayesian Network Classifiers. Proc. 15th Conf. Uncertainty in Artificial Intelligence, Stockholm, Sweden, 30 July\u2013August 1, pp. 101\u2013108. Morgan Kaufmann Publishers, Burlington, MA."},{"key":"2016061607274197000_59.6.923.29","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1613\/jair.279","article-title":"Improved use of continuous features in C4. 5","volume":"4","author":"Quinlan","year":"1996","journal-title":"Journal of Artificial Intelligence Research"},{"key":"2016061607274197000_59.6.923.30","doi-asserted-by":"publisher","DOI":"10.1109\/34.667881"},{"key":"2016061607274197000_59.6.923.31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"2016061607274197000_59.6.923.32","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0114-2"},{"key":"2016061607274197000_59.6.923.33","doi-asserted-by":"crossref","unstructured":"Tavallaee M. , Bagheri E. , Lu W. and Ghorbani A.A. (2009) A Detailed Analysis of the KDD CUP 99 Data Set. Proc. 2nd IEEE Symp. Computational Intelligence for Security and Defense Applications, Ottawa, ON, July 8\u201310, pp. 1\u20136. IEEE, NJ.","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"2016061607274197000_59.6.923.34","doi-asserted-by":"crossref","unstructured":"Vasudevan A.R. , Harshini E. and Selvakumar S. (2011) SSENet 2011: A Intrusion Detection Dataset and its comparison with KDD Cup'99 Dataset. Int. Conf. Asian Himalayas Int. Conf. Internet, AH-ICI 2011, Kathmandu, Nepal, November 4\u20136, pp. 121\u2013125. IEEE, NJ.","DOI":"10.1109\/AHICI.2011.6113948"},{"key":"2016061607274197000_59.6.923.35","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2011.12.012"}],"container-title":["The Computer Journal"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/comjnl\/article-pdf\/59\/6\/923\/10325840\/bxv078.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,31]],"date-time":"2019-08-31T05:19:05Z","timestamp":1567228745000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/comjnl\/article-lookup\/doi\/10.1093\/comjnl\/bxv078"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,1]]},"references-count":35,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2016,6,16]]},"published-print":{"date-parts":[[2016,6]]}},"alternative-id":["10.1093\/comjnl\/bxv078"],"URL":"https:\/\/doi.org\/10.1093\/comjnl\/bxv078","relation":{},"ISSN":["0010-4620","1460-2067"],"issn-type":[{"value":"0010-4620","type":"print"},{"value":"1460-2067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,10,1]]}}}