UID:
almahu_9949419933802882
Format:
XIII, 388 p. 110 illus., 86 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031222955
Series Statement:
Lecture Notes in Computer Science, 13700
Content:
This book constitutes the refereed proceedings of the 27th Nordic Conference on Secure IT Systems, NordSec 2022, held in Reykjavic, Iceland, during November 30 - December 2, 2022. The 20 full papers presented in this volume were carefully reviewed and selected from 89 submissions. The NordSec conference series addresses a broad range of topics within IT security and privacy.
Note:
On the Effectiveness of Intersection Attacks in Anonymous Microblogging -- Data Privacy in Ride-Sharing Services: From an Analysis of Common Practices to Improvement -- Location Privacy, 5G AKA, and Enhancements -- Local Differential Privacy for Private Construction of Classification Algorithms -- IMSI Probing: Possibilities and Limitations -- Honeysweeper: Towards stealthy honeytoken fingerprinting techniques -- Towards Self-Monitoring Enclaves: Side-Channel Detection using Performance Counters -- DeCrypto: Finding Cryptocurrency Miners on ISP networks -- Detection of Voice Conversion Spoofing Attacks using Voiced Speech -- A Wide Network Scanning for Discovery of UDP-Based Reflectors in the Nordic Countries -- GPU-FAN: Leaking Sensitive Data From Air-Gapped Machines via Covert Noise from GPU Fans -- Simplex: Repurposing Intel Memory Protection Extensions for Secure Storage -- Automatic Implementations Synthesis of Secure Protocols and Attacks from Abstract Models -- How to Avoid Repetitions in Lattice-based Deniable Zero-Knowledge Proofs -- Obfuscation-resilient Semantic Functionality Identification Through Program Simulation -- Malware Analysis with Symbolic Execution and Graph Kernel -- WearSec: Towards Automated Security Evaluation of Wireless Wearable Devices -- Maraudrone's Map: An Interactive Web Application for Forensic Analysis and Visualization of DJI Drone Log Data -- VinciDecoder: Automatically Interpreting Provenance Graphs into Textual Forensic Reports with Application to OpenStack. Actionable Cyber Threat Intelligence for Automated Incident Response.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031222948
Additional Edition:
Printed edition: ISBN 9783031222962
Language:
English
DOI:
10.1007/978-3-031-22295-5
URL:
https://doi.org/10.1007/978-3-031-22295-5
