
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
Kiran Pachlasiya(Author)
IGI Global (Publisher)
Published on 13. May 2022
Book
Hardback
325 pages
978-1-6684-3942-5 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Hershey
United States
Target group
Professional and scholarly
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 21 mm
Weight
1039 gr
ISBN-13
978-1-6684-3942-5 (9781668439425)
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Schweitzer Classification
Other editions
Additional editions

Romil Rawat | Shrikant Telang | P. William
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
Book
05/2022
Information Science Reference
€197.20
Shipment within 3-4 weeks