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Applied Cryptography and Network Security Workshops de Jianying Zhou

Applied Cryptography and Network Security Workshops: Lecture Notes in Computer Science, cartea 12418

Editat de Jianying Zhou, Suryadipta Majumdar, Weizhi Meng, Martín Ochoa, Stjepan Picek, Georgios Portokalidis, Cong Wang, Kehuan Zhang, Mauro Conti, Chuadhry Mujeeb Ahmed, Man Ho Au, Lejla Batina, Zhou Li, Jingqiang Lin, Eleonora Losiouk, Bo Luo
en Limba Engleză Paperback – 14 oct 2020
This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020.
The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops:
AIBlock 2020:
Second International Workshop on Application Intelligence and Blockchain Security
AIHWS 2020:
First International Workshop on Artificial Intelligence in Hardware Security
AIoTS 2020:
Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security
Cloud S&P 2020:
Second International Workshop on Cloud Security and Privacy
SCI 2020:
First International Workshop on Secure Cryptographic Implementation
SecMT 2020:
First International Workshop on Security in Mobile Technologies
SiMLA 2020: 
Second International Workshop on Security in Machine Learning and its Applications

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Specificații

ISBN-13: 9783030616373
ISBN-10: 3030616371
Pagini: 604
Ilustrații: XVII, 584 p. 178 illus., 115 illus. in color.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.9 kg
Ediția:1st ed. 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

AIBlock: Application Intelligence and Blockchain Security.- AIHWS: Artificial Intelligence in Hardware Security.- AIoTS: Artificial Intelligence and Industrial Internet-of-Things Security.- Cloud S&P: Cloud Security and Privacy.- SCI: Secure Cryptographic Implementation.- SecMT: Security in Mobile Technologies.- SiMLA: Security in Machine Learning and its Applications.