UID:
almahu_9949286421302882
Umfang:
XI, 257 p. 90 illus., 71 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031040368
Serie:
Lecture Notes in Computer Science, 13300
Inhalt:
This open access book presents the main scientific results from the H2020 GUARD project. The GUARD project aims at filling the current technological gap between software management paradigms and cybersecurity models, the latter still lacking orchestration and agility to effectively address the dynamicity of the former. This book provides a comprehensive review of the main concepts, architectures, algorithms, and non-technical aspects developed during three years of investigation; the description of the Smart Mobility use case developed at the end of the project gives a practical example of how the GUARD platform and related technologies can be deployed in practical scenarios. We expect the book to be interesting for the broad group of researchers, engineers, and professionals daily experiencing the inadequacy of outdated cybersecurity models for modern computing environments and cyber-physical systems.
Anmerkung:
A Reference Architecture for Management of Security Operations in Digital Service Chains -- Efficient flow monitoring in digital services -- Intelligent Transportation Systems -- models, challenges, security aspects -- NAD: Machine Learning based Component for Unknown Attack Detection in Network Traffic -- Detecting unknown attacks through system behavior analysis -- Signature-based detection of botnet DDoS attacks -- Automatic Attack Pattern Mining for Generating Actionable CTI Applying Alert Aggregation -- Blockchain-based task and information management in computational cloud systems.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031040351
Weitere Ausg.:
Printed edition: ISBN 9783031040375
Sprache:
Englisch
DOI:
10.1007/978-3-031-04036-8
URL:
https://doi.org/10.1007/978-3-031-04036-8
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