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Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence (e-Book Collection - Copyright 2022) - Tapa dura

 
9781668439425: Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence (e-Book Collection - Copyright 2022)
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ISBN 10: 1668439425 ISBN 13: 9781668439425
Editorial: Information Science Reference, 2022

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Information Science Reference
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1668439425
ISBN 13 
9781668439425
Encuadernación
Tapa dura
Número de páginas
308
Editor
Rawat Romil, Telang Shrikant, William P.
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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