10730

803 دكتري

دكتري

مهندسي كامپيوتر

اصفهان: دانشگاه صنعتي اصفهان،دانشكده مهندسي برق و كامپيوتر

1394

سيزده، 12ص.: مصور

مهندسي برق و كامپيوتر

ID803 دكتري

118 39 S Jiang X Song H Wang J J Han and Q H Li A Clustering based Method for Unsupervised Intrusion Detections Pattern Recogn Lett vol 27 no 7 pp 802 810 May 2006 40 M Amini R Jalili and H R Shahriari RT UNNID A practical solution to real time network based intrusion detection using unsupervised neural networks Comput Secur vol 25 no 6 pp 459 468 2006 41 Y Liao V R Vemuri and A Pasos Adaptive anomaly detection with evolving connectionist systems J Netw Comput Appl vol 30 no 1 pp 60 80 2007 42 M Y Su G J Yu and C Y Lin A real time network intrusion detection system for large scale attacks based on an incremental mining approach Comput Secur vol 28 no 5 pp 301 309 2009 43 C C Hsu and Y P Huang Incremental clustering of mixed data based on distance hierarchy Expert Syst Appl vol 35 no 3 pp 1177 1185 2008 44 F Shen and O Hasegawa A fast nearest neighbor classifier based on self organizing incremental neural network Neural Networks vol 21 no 10 pp 1537 1547 Dec 2008 45 T Kohonen Self organized formation of topologically correct feature maps Biol Cybern vol 43 no 1 pp 59 69 1982 46 C C Hsu C L Chen and Y W Su Hierarchical clustering of mixed data based on distance hierarchy Inf Sci Ny vol 177 no 20 pp 4474 4492 2007 47 C C Aggarwal and C K Reddy Eds Data Clustering Algorithms and Applications CRC Press 2014 48 E Eskin A Arnold M Prerau L Portnoy and S S o A Geometric Framework for Unsupervised Anomaly Detection Detecting Intrusions in Unlabeled Data in Applications of Data Mining in Computer Security D Barbara and S Jajodia Eds Kluwer 2002 49 S Boriah V Chandola and V Kumar Similarity Measures for Categorical Data A Comparative Evaluation Abstract in SIAM Data Mining Conference 2008 50 I Zliobaite A Bifet B Pfahringer and G Holmes Active Learning With Drifting Streaming Data IEEE Trans Neural Netw Learn Syst vol 25 no 1 pp 27 39 2014 51 T R Hoens R Polikar and N V Chawla Learning from streaming data with concept drift and imbalance an overview Prog AI vol 1 no 1 pp 89 101 2012 52 J Gama P Medas G Castillo and P Rodrigues Learning with Drift Detection in Advances in Artificial Intelligence Proceedings of SBIA 2004 2004 vol 3171 pp 286 295 53 M M Masud T Al Khateeb L Khan C C Aggarwal J Gao J Han and B M Thuraisingham Detecting Recurring and Novel Classes in Concept Drifting Data Streams in ICDM 2011 pp 1176 1181 54 K M C Tan K S Killourhy and R A Maxion Undermining an Anomaly Based Intrusion Detection System Using Common Exploits in RAID 2002 pp 54 73

رسول موسوي، علي فانيان

عبدالرضا ميرزايي

مهدي برنجكوب، بهروز ترك لاداني، مازيار پالهنگ