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Applied Cryptography and Network Security Workshops: ACNS 2019 Satellite Workshops, SiMLA, Cloud S&P, AIBlock, and AIoTS, Bogota, Colombia, June 57, 2019, Proceedings 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 193 pages, height x width: 235x155 mm, weight: 454 g, 28 Illustrations, color; 13 Illustrations, black and white; XIV, 193 p. 41 illus., 28 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11605
  • Izdošanas datums: 14-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030297284
  • ISBN-13: 9783030297282
  • Mīkstie vāki
  • Cena: 46,91 €*
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  • Formāts: Paperback / softback, 193 pages, height x width: 235x155 mm, weight: 454 g, 28 Illustrations, color; 13 Illustrations, black and white; XIV, 193 p. 41 illus., 28 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11605
  • Izdošanas datums: 14-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030297284
  • ISBN-13: 9783030297282
This book constitutes the proceedings of the satellite workshops held around the 17th International Conference on Applied Cryptography and Network Security, ACNS 2019, in Bogota, Colombia, in June 2019. 

The 10 papers presented in this volume were carefully reviewed and selected from 30 submissions. They stem from the following workshops:

AIBlock 2019: 
First International Workshop on Application Intelligence and Blockchain Security
AIoTS 2019:
First International Workshop on Articial Intelligence and Industrial Internet-of-Things Security
Cloud S&P 2019:
First International Workshop on Cloud Security and Privacy
PriDA 2019:
First InternationalWorkshop on Privacy-preserving Distributed Data Analysis
SiMLA 2019: 
First International Workshop on Security in Machine Learning and its Applications

SiMLA - Security in Machine Learning and its Applications.- Risk-based Static Authentication in Web Applications with Behavioral Biometrics and Session Context Analytics.- Using Honeypots in a Decentralized Framework to Defend Against Adversarial Machine-Learning Attacks.- Cloud S&P - Cloud Security and Privacy.- Graphene: A Secure Cloud Communication Architecture.- A Survey on Machine Learning applications for Software Defined Network Security.- AIBlock - Application Intelligence and Blockchain Security.- A New Proof of Work for Blockchain Based on Random Multivariate Quadratic Equations.- BSIEM-IoT: A Blockchain-based and Distributed SIEM for the Internet of Things.- Towards Blockchained Challenge-based Collaborative Intrusion Detection.- AIoTS - Artificial Intelligence and Industrial Internet-of-Things Security.- Enhancement to the Privacy-aware Authentication for Wi-Fi based Indoor Positioning Systems.- Design of a FDIA Resilient Protection Scheme for Power Networks by Securing Minimal Sensor Set.- Strong Leakage Resilient Encryption by Hiding Partial Ciphertext.