Overview
- Cross-disciplinary researchers demonstrate collaborative approaches
- deals with security and privacy problems at algorithm, architecture, and implementation level
- Content valuable for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13049)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (14 chapters)
-
Front Matter
-
AI for Cryptography
-
Front Matter
-
-
AI for Authentication and Privacy
-
Front Matter
-
-
AI for Intrusion Detection
-
Front Matter
-
-
Security of AI
-
Front Matter
-
-
Back Matter
Keywords
- Adversarial Machine Learning
- artificial intelligence
- authentication
- Biometric Authentication Systems
- computer crime
- cryptography
- data security
- Deep Learning Backdoors
- Fault Injection
- Hardware Fingerprinting
- machine learning
- Malware
- Network Intrusion Detection
- network protocols
- network security
- Physically Unclonable Functions
- privacy
- Privacy Enhancement
- Privacy-Preserving Machine Learning
- Side-channel Analysis
About this book
The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blindmode and revised.
Editors and Affiliations
Bibliographic Information
Book Title: Security and Artificial Intelligence
Book Subtitle: A Crossdisciplinary Approach
Editors: Lejla Batina, Thomas Bäck, Ileana Buhan, Stjepan Picek
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-98795-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-030-98794-7Published: 08 April 2022
eBook ISBN: 978-3-030-98795-4Published: 07 April 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 361
Number of Illustrations: 15 b/w illustrations, 28 illustrations in colour
Topics: Systems and Data Security, Artificial Intelligence, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences, Information Systems Applications (incl. Internet)