Overview
- Provides practical knowledge on different aspects of service systems functioning with ICT technologies implemented
- Gives recent research on Information security technologies in the decentralized distributed networks
- Studies challenges and opportunities of data/information communication, management and security
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 115)
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Table of contents (13 chapters)
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Front Matter
Keywords
About this book
The authors explore various aspects of information processing for the design of service systems, efficient management, secure storage, and transmission. In addition, the subline provides knowledge and practice in decentralized ICT technologies, including those based on blockchain. The aim of this book is to analyze and develop methods of building decentralized private databases without the presence of a trusted party, methods of data processing in encrypted form to ensure the confidentiality of information, and accessibility of the corresponding fragment of the original or transformed data. In this book it is also relevant to research methods and protocols routing in infocommunication networks, which provides load balancing in the network, and analysis of intrusion detection methods based on analysis of signatures and anomalies in network behavior (state changes) based on machine learning and fractal analysis methods.
Editors and Affiliations
Bibliographic Information
Book Title: Information Security Technologies in the Decentralized Distributed Networks
Editors: Roman Oliynykov, Oleksandr Kuznetsov, Oleksandr Lemeshko, Tamara Radivilova
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-95161-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-95160-3Published: 04 April 2022
eBook ISBN: 978-3-030-95161-0Published: 03 April 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XIV, 305
Number of Illustrations: 36 b/w illustrations, 10 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Systems and Data Security, Big Data, Artificial Intelligence