Machine Learning for Cyber Security Second International Conference, ML4CS 2019, Xi'an, China, September 19-21, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chen, Xiaofeng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Huang, Xinyi (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Jun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Security and Cryptology ; 11806
• Θέματα: Computer security.; Computer organization.; Artificial intelligence.; Computers.; Systems and Data Security.; Computer Systems Organization and Communication Networks.; Artificial Intelligence.; Computing Milieux.
• Φυσική περιγραφή: XIII, 398 p. 201 illus., 90 illus. in color. online resource.
• ISBN: 9783030306199
• DOI: 10.1007/978-3-030-30619-9

This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi'an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions. The papers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security.