Security and Trust Management
16th International Workshop, STM 2020, Guildford, UK, September 17-18, 2020, Proceedings
Published on 15. September 2020
IX, 139 pages
978-3-030-59817-4 (ISBN)
Description
This book constitutes the proceedings of the 16th International Workshop on Security and Trust Management, STM 2020, co-located with the 25th European Symposium on Research in Computer Security, ESORICS 2020. The conference was planned to take place in Guildford, UK, but had to be moved to an online format due to the COVID-19 pandemic. The workshop took place during September 17-18, 2020. The 8 papers presented in this volume were carefully reviewed and selected from 20 submissions. They were organized in topical sections on security properties and attacks; confidentiality schema and security processes.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
IX, 139 p. 80 illus., 13 illus. in color.
File size
7,11 MB
ISBN-13
978-3-030-59817-4 (9783030598174)
DOI
10.1007/978-3-030-59817-4
Schweitzer Classification
Other editions
Additional editions
Kostantinos Markantonakis | Marinella Petrocchi
Security and Trust Management
16th International Workshop, STM 2020, Guildford, UK, September 17-18, 2020, Proceedings
Book
09/2020
Springer
€48.14
Shipment within 7-9 days
Content
Security Properties and Attacks.- Modelling and Analysis of 802.11 4-Way Handshake Attacks and Security Properties.- Reducing the Forensic Footprint with Android Accessibility Attacks.- A Novel Machine Learning Methodology for Detecting |Phishing Attacks in Real Time.- Confidentiality Schema.- Revocable access to encrypted message boards.- Establishing Secure Communication Channels Using Remote Attestation With TPM 2.0.- Security Processes.- Improved Feature Engineering for Free-Text Keystroke Dynamics.- Subversion-Resistant Commitment Schemes: Definitions and Constructions.- Challenges in IT Security Processes and Solution Approaches with Process Mining.
