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Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence (Advances in Digital Crime, Forensics, and Cyber Terrorism (Adcfct) Book Series) - Softcover

 
9781668439432: Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence (Advances in Digital Crime, Forensics, and Cyber Terrorism (Adcfct) Book Series)

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Published by IGI Global, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781668439432

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Published by IGI Global, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781668439432

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Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are hi. Seller Inventory # 596670076

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Romil Rawat
Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students. Seller Inventory # 9781668439432

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