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Machine Learning for Cyber Security [electronic resource] : Third International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part II / edited by Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang.
Materialtyp:
TextSerie: Security and Cryptology ; 12487Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2020Utgåva: 1st ed. 2020Beskrivning: 1 online resource (XV, 608 p. 246 illus.). 181 illus. in colorInnehållstyp: - text
- computer
- online resource
- 9783030624606
- Data protection
- Social sciences -- Data processing
- Education -- Data processing
- Computers -- Law and legislation
- Information technology -- Law and legislation
- Cryptography
- Data encryption (Computer science)
- Computer networks -- Security measures
- Data and Information Security
- Computer Application in Social and Behavioral Sciences
- Computers and Education
- Legal Aspects of Computing
- Cryptology
- Mobile and Network Security
- 005.8 23
- QA76.9.A25
Innehåll:
I: Springer Nature eBookSammanfattning: 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.
Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
Inga fysiska exemplar för denna post
Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
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.
Print version record.
Licensed e-book