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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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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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Published by Information Science Reference, 2022
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Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
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Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
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Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
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Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
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ISBN 10: 1668439425 ISBN 13: 9781668439425
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Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
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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
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. 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.
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Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence | Romil Rawat (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Information Science Reference | EAN 9781668439432 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
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Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Seller: AHA-BUCH GmbH, Einbeck, Germany
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.
Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Seller: moluna, Greven, Germany
Gebunden. 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.
Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence | Romil Rawat (u. a.) | Buch | Gebunden | Englisch | 2022 | Information Science Reference | EAN 9781668439425 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Language: English
Published by Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. 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.