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Machine learning techniques for cybersecurity

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The protection of information and information infrastructures from unauthorized access, use, disclosure, disruption, modification, or destruction is today more critical than ever as they represent attractive targets for a diversity of malicious actors. Those actors have different motivations, such as financial gains, sabotage, espionage, intellectual property theft, and data theft. They may be supported by enemy nations and can leverage an arsenal of attack toolkits, zero-day vulnerabilities, and compromised passwords available on the dark web.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.3 ELI m

Penerbit

Switzerland : Springer., 2023

Deskripsi Fisik

169 hlm

Bahasa

English

ISBN/ISSN

9783031282591

Klasifikasi

006.3

Tipe Isi

text

Tipe Media

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Tipe Pembawa

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Edisi

Ed. 1

Subjek

FT
ebook

Info Detail Spesifik

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Pernyataan Tanggungjawab

Elisa Bertino

Versi lain/terkait

Lampiran Berkas

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