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Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence

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dc.contributor.author Rawat Romil.
dc.contributor.author Telang Shrikant.
dc.contributor.author William P.
dc.contributor.author Kaur Upinder.
dc.contributor.author C.U. Om Kumar.
dc.date.accessioned 2024-01-26T21:40:53Z
dc.date.available 2024-01-26T21:40:53Z
dc.date.issued 2022
dc.identifier.citation Rawat и др. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence - Hershey: IGI Global, 2022 - 1 online resource (300 p.) - URL: https://libweb.kpfu.ru/ebsco/pdf/3290022.pdf
dc.identifier.isbn 166843945X
dc.identifier.isbn 9781668439456
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/178686
dc.description Description based upon print version of record.
dc.description.abstract 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 tha.
dc.language English
dc.language.iso en
dc.publisher Hershey IGI Global
dc.subject.other Computer crimes -- Investigation.
dc.subject.other Dark Web.
dc.subject.other Electronic books.
dc.title Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
dc.type Book
dc.description.pages 1 online resource (300 p.)
dc.collection Электронно-библиотечные системы
dc.source.id EN05CEBSCO05C199030


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