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Information Systems Security and Privacy de Steven Furnell

Information Systems Security and Privacy: Communications in Computer and Information Science, cartea 1545

Editat de Steven Furnell, Paolo Mori, Edgar Weippl, Olivier Camp
en Limba Engleză Paperback – 20 ian 2022
This book constitutes the revised selected papers of the 6th International Conference on Information Systems Security and Privacy, ICISSP 2020, held in Valletta, Malta, in February  2020.  The 11 full papers presented were carefully reviewed and selected from a total of 125 submissions. The papers presented in this volume address various topical research, including new approaches for attack modelling andprevention, incident management and response, and user authentication andaccess control, as well as business and human-oriented aspects such as data pro-tection and privacy, and security awareness.


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Specificații

ISBN-13: 9783030948993
ISBN-10: 3030948994
Pagini: 260
Ilustrații: XII, 245 p. 72 illus., 49 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Inferring Sensitive Information in Cryptocurrency Off-chain Networks using Probing and Timing Attacks.- Secure Ownership Transfer for Resource Constrained IoT Infrastructures.- Untangling the XRP Ledger: Insights and Analysis.- End To End Autorship Email Verification Framework for a Secure Communication.-  Symmetric and Asymmetric Schemes for Lightweight Secure Communication.- Credential Intelligence Agency: A Threat Intelligence Approach to Mitigate Identity Theft.- Key Agreement in the Lightning Network Protocol.- Effects of Explanatory Information on Privacy Policy Summarization Tool Perception.- Harmonic Group Mix: A Framework for Anonymous and Authenticated Broadcast Messages in Vehicle-to-Vehicle Environments.-  Contextual Factors in Information Security Group Behaviour: A Comparison of Two Studies.- Using MedBIoT Dataset to Build Eective Machine Learning-based IoT Botnet DetectionSystems.