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Postępy i wyzwania związane z ML i DL w cyberbezpieczeństwie

Postępy i wyzwania związane z ML i DL w cyberbezpieczeństwie

Dr. S. L. Jany Shabu

131,34 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2026
Materia
Empresa y gestión
ISBN:
9786209734830
131,34 €
IVA incluido
Disponible

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Sobre IBD

Integracja cyberbezpieczeństwa i inteligentnych systemów, podkreślająca, w jaki sposób uczenie maszynowe (ML) i głębokie uczenie (DL) wzmacniają nowoczesną cyberobronę. Wprowadza podstawowe koncepcje cyberbezpieczeństwa, ewolucję zagrożeń i obrony oraz podstawowe zasady ML, takie jak gromadzenie danych, przetwarzanie wstępne, algorytmy uczenia się i wyzwania, w tym brak równowagi danych, dryf koncepcji, skalowalność i solidność. Tekst bada architektury głębokiego uczenia i ich zastosowania w wykrywaniu włamań, analizie zagrożeń i złośliwego oprogramowania, kładąc nacisk na wykrywanie anomalii, zautomatyzowaną analizę zagrożeń i odporność na uniki. Omówiono także uczenie maszynowe przeciwników, solidność modeli, kwestie etyczne i prawne, prywatność i interpretowalność. Książka kończy się omówieniem nowych technologii sztucznej inteligencji, autonomicznych systemów obronnych i przyszłych kierunków badań w zakresie budowania odpornych i zrozumiałych rozwiązań cyberbezpieczeństwa opartych na sztucznej inteligencji.

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