Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence is popular PDF and ePub book, written by Rawat, Romil in 2022-05-13, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence can be Read Online from any device for your convenience.
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence Book PDF Summary
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.
Detail Book of Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence PDF
- Author : Rawat, Romil
- Release : 13 May 2022
- Publisher : IGI Global
- ISBN : 9781668439449
- Genre : Computers
- Total Page : 300 pages
- Language : English
- PDF File Size : 21,5 Mb
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