Machine Learning for Cyber Security : Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part I / / edited by Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XXVII, 650 p. 282 illus., 183 illus. in color.)
• Disciplina: 006.31
• Soggetto topico: Data protection; Social sciences - Data processing; Education - Data processing; Computers and civilization; Cryptography; Data encryption (Computer science); Data and Information Security; Computer Application in Social and Behavioral Sciences; Computers and Education; Computers and Society; Cryptology; Security Services
• Persona (resp. second.): ChenXiaofeng
• Nota di contenuto: Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
• Sommario/riassunto: This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
• Titolo autorizzato: Machine learning for cyber security
• ISBN: 3-030-62223-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910427672903321
• Lo trovi qui: Univ. Federico II
• Serie: Security and Cryptology ; ; 12486