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Worm Origin Identification & Propagation Path Reconstruction: Probabilistically - Softcover

 
9786202516488: Worm Origin Identification & Propagation Path Reconstruction: Probabilistically

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This book mainly aims at detecting the origins of preferential scanning worm and reconstructing its spread path. Our goal was to obtain a probability distribution function for estimating the probability of infection for nodes when preferential scanning worm is propagating. An algorithm is also developed on the basis of this probability distribution to allow detection of worm origin and reconstruction of its propagation path. Our purpose is to employ a complementary method and Back-to-Origin modeling to perform post-mortem forensic analysis for the propagation of worm, using the gathered network data. This is carried out to overcome the weaknesses of the current approaches, especially their high storage demand and computational complexity.

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Tafazzoli, Tala; Sadeghiyan, Babak
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Tafazzoli, Tala; Sadeghiyan, Babak
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Tala Tafazzoli
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book mainly aims at detecting the origins of preferential scanning worm and reconstructing its spread path. Our goal was to obtain a probability distribution function for estimating the probability of infection for nodes when preferential scanning worm is propagating. An algorithm is also developed on the basis of this probability distribution to allow detection of worm origin and reconstruction of its propagation path. Our purpose is to employ a complementary method and Back-to-Origin modeling to perform post-mortem forensic analysis for the propagation of worm, using the gathered network data. This is carried out to overcome the weaknesses of the current approaches, especially their high storage demand and computational complexity. 96 pp. Englisch. Seller Inventory # 9786202516488

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Tafazzoli, Tala; Sadeghiyan, Babak
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Tala Tafazzoli|Babak Sadeghiyan
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tafazzoli TalaTala Tafazzoli was born in Tehran, Iran. She received her B.S. degree from Sharif University of Technology, her M.S. and Ph.D. degree from Amirkabir University of Technology, Tehran, in 1997, and 2017 respectively. She . Seller Inventory # 385945440

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Tala Tafazzoli
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Taschenbuch. Condition: Neu. Neuware -This book mainly aims at detecting the origins of preferential scanning worm and reconstructing its spread path. Our goal was to obtain a probability distribution function for estimating the probability of infection for nodes when preferential scanning worm is propagating. An algorithm is also developed on the basis of this probability distribution to allow detection of worm origin and reconstruction of its propagation path. Our purpose is to employ a complementary method and Back-to-Origin modeling to perform post-mortem forensic analysis for the propagation of worm, using the gathered network data. This is carried out to overcome the weaknesses of the current approaches, especially their high storage demand and computational complexity.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Seller Inventory # 9786202516488

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Tala Tafazzoli
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202516488 ISBN 13: 9786202516488
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book mainly aims at detecting the origins of preferential scanning worm and reconstructing its spread path. Our goal was to obtain a probability distribution function for estimating the probability of infection for nodes when preferential scanning worm is propagating. An algorithm is also developed on the basis of this probability distribution to allow detection of worm origin and reconstruction of its propagation path. Our purpose is to employ a complementary method and Back-to-Origin modeling to perform post-mortem forensic analysis for the propagation of worm, using the gathered network data. This is carried out to overcome the weaknesses of the current approaches, especially their high storage demand and computational complexity. Seller Inventory # 9786202516488

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