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portada Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
Type
Physical Book
Language
English
Pages
308
Format
Paperback
Dimensions
27.9 x 21.6 x 1.7 cm
Weight
0.72 kg.
ISBN13
9781668439432

Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence

Rawat, Romil ; Telang, Shrikant ; William, P. (Author) · Information Science Reference · Paperback

Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence - Rawat, Romil ; Telang, Shrikant ; William, P.

New Book Imported to South Africa
Delivery: 13 Aug - 21 Aug Shipping: 4 to 5 business days.
R 4,048
R 4,048

Synopsis "Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence"

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.

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