LEADER 01139nam a2200265 i 4500 001 991001314129707536 008 110714s1995 de 00 ger 020 $a3110146118 035 $ab1399492x-39ule_inst 040 $aDip.to Filologia Class. e Scienze Filosofiche$bita 082 00$a225 100 1 $aTetz, Martin$0475379 245 10$aAthanasiana :$bzu Leben und Lehre des Athanasius /$cMartin Tetz ; herausgegeben von Wilhelm Geerlings und Dietmar Wyrwa 260 $aBerlin$aNew York :$bW. De Gruyter,$c1995 300 $a314 p. ;$c24 cm 440 0$aBeihefte zur Zeitschrift für die neutestamentliche Wissenschaft und die Kunde der älteren Kirche ;$v78 600 04$aAtanasio 700 1 $aGeerlings, Wilhelm 700 1 $aWyrwa, Dietmar 907 $a.b1399492x$b02-04-14$c14-07-11 912 $a991001314129707536 945 $aLE007 880.1 Athanasius Alexandrinus TET 01.501$g1$i2007000211823$lle007$nLE007 2011 Capone$op$pE94.95$q-$rl$s- $t0$u1$v0$w1$x0$y.i15298619$z14-07-11 996 $aAthanasiana$9248789 997 $aUNISALENTO 998 $ale007$b14-07-11$cm$da $e-$fger$gde $h0$i0 LEADER 05321oam 2200565I 450 001 9910799931803321 005 20190327110701.0 010 $a0-429-99572-5 010 $a0-429-50404-7 010 $a0-429-99571-7 035 $a(CKB)4100000007650240 035 $a(MiAaPQ)EBC5675759 035 $a(OCoLC)1084727081 035 $a(OCoLC-P)1084727081 035 $a(FlBoTFG)9780429504044 035 $a(EXLCZ)994100000007650240 100 $a20190207h20192019 uy 0 101 0 $aeng 135 $aurcnu|||unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine learning for computer and cyber security $eprinciples, algorithms, and practices /$feditors, Brij B. Gupta, Michael Sheng 210 1$aBoca Raton :$cCRC Press,$d[2019]. 210 4$d©2019 215 $a1 online resource (365 pages) 300 $a"A science publishers book." 311 $a1-138-58730-3 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright Page; Dedication; Foreword; Acknowledgement; Preface; Table of Contents; 1: A Deep Learning-based System for Network Cyber Threat Detection; 2: Machine Learning for Phishing Detection and Mitigation; 3: Next Generation Adaptable Opportunistic Sensing-based Wireless Sensor Networks: A Machine Learning Perspective; 4: A Bio-inspired Approach to Cyber Security; 5: Applications of a Model to Evaluate and Utilize Users' Interactions in Online Social Networks; 6: A Deep-dive on Machine Learning for Cyber Security Use Cases 327 $a7: A Prototype Method to Discover Malwares in Android-based Smartphones through System Calls8: Metaheuristic Algorithms-based Feature Selection Approach for Intrusion Detection; 9: A Taxonomy of Bitcoin Security Issues and Defense Mechanisms; 10: Early Detection and Prediction of Lung Cancer using Machine-learning Algorithms Applied on a Secure Healthcare Data-system Architecture; 11: Preventing Black Hole Attack in AODV Routing Protocol using Dynamic Trust Handshake-based Malicious Behavior Detection 327 $a12: Detecting Controller Interlock-based Tax Evasion Groups in a Corporate Governance Network13: Defending Web Applications against JavaScript Worms on Core Network of Cloud Platforms; 14: Importance of Providing Incentives and Economic Solutions in IT Security; 15: Teaching Johnny to Thwart Phishing Attacks: Incorporating the Role of Self-efficacy into a Game Application; Index 330 $aWhile Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner. 606 $aComputer networks$xSecurity measures$xData processing 606 $aComputer security$xData processing 606 $aMachine learning 606 $aArtificial intelligence 615 0$aComputer networks$xSecurity measures$xData processing. 615 0$aComputer security$xData processing. 615 0$aMachine learning. 615 0$aArtificial intelligence. 676 $a006.3/1 702 $aGupta$b Brij$f1982- 702 $aSheng$b Quan Z. 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910799931803321 996 $aMachine learning for computer and cyber security$93873567 997 $aUNINA