521,04 €
612,99 €
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
521,04 € 
- Išsiųsime per 10–14 d.d.
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…
521.04
2025-07-06 23:59:00
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- Leidėjas: Information Science Reference
- Metai: 2022
- ISBN-10: 1668439425
- ISBN-13: 9781668439425
- Formatas: 21.6 x 27.9 x 1.9 cm, kieti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence + nemokamas atvežimas! | knygos.lt
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Aprašymas
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.EXTRA 15 % nuolaida
521,04 €
612,99 €
Išsiųsime per 10–14 d.d.
Kupono kodas: ENG15
Akcija baigiasi už 3d.17:19:23
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Leidėjas: Information Science Reference
- Metai: 2022
- ISBN-10: 1668439425
- ISBN-13: 9781668439425
- Formatas: 21.6 x 27.9 x 1.9 cm, kieti viršeliai
- Kalba: Anglų
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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