Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 191,17
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 210,74
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 258,46
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Rarewaves.com UK, London, Regno Unito
EUR 246,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 197,32
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 191,18
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 250,19
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: moluna, Greven, Germania
EUR 204,11
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 258,52
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: preigu, Osnabrück, Germania
EUR 211,70
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Da: moluna, Greven, Germania
EUR 266,28
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Aggiungi al carrelloGebunden. Condizione: 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.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 252,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: Majestic Books, Hounslow, Regno Unito
EUR 324,88
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439433 ISBN 13: 9781668439432
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 328,56
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Da: preigu, Osnabrück, Germania
EUR 276,10
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Information Science Reference, 2022
ISBN 10: 1668439425 ISBN 13: 9781668439425
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 331,80
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.