Buch, Englisch, Band 1207, 258 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g
Buch, Englisch, Band 1207, 258 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-031-77228-3
Verlag: Springer Nature Switzerland
This book is based on the best papers accepted for presentation during the AISMA-2023: International Workshop on Advanced in Information Security Management and Applications on September 29 - October 1, 2023 in online mode at Stavropol, Krasnoyarsk, Russia.
The book includes research on information security problems and solutions in the field of information security management, blockchain and cryptography, anomalies activity detection, authentication and key distribution, digital forensics. The scope of research methods in information security management presents original research, including mathematical models and software implementations, related to the following topics: social activities quality, blockchain technology, anomaly detection in wireless sensor networks, DDoS attack detection, incident regulation and trust assessment.
In addition, some papers focus on dynamics risks infrastructural genesis at critical information infrastructure facilities. Finally, the book gives insights into some problems using blockchain technology in various applications. The book intends for readership specializing in the field of information security management and applications, information security methods and features.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
Weitere Infos & Material
General model for assessing the quality of socially significant activities as a part of Information Security Management.- Use of Blockchain Technology for Maintaining Authenticity and Credibility of Digital Information.- Detection of Anomalous Activity in Wireless Communication Channels.- Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks.
