
ICT Systems Security and Privacy Protection
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This book constitutes the proceedings of the 39th IFIP International Conference on ICT Systems Security and Privacy Protection, SEC 2024, held in Edinburgh, UK, during June 12-14, 2024.
The 34 full papers presented were carefully reviewed and selected from 112 submissions. The conference focused on current and future IT Security and Privacy Challenges and also was a part of a series of well-established international conferences on Security and Privacy.
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Content
.- Towards a Mobility-Aware Trust Model for the Internet of Underwater Things.
.- Rasd: Semantic Shift Detection and Adaptation for Multi-Classification NIDS.
.- Reduce to the MACs - Privacy Friendly Generic Probe Requests.
.- PRIDA: PRIvacy-preserving Data Aggregation with multiple data customers.
.- Keep your memory dump shut: Unveiling data leaks in password managers.
.- DryJIN: Detecting Information Leaks in Android Applications.
.- Bruteware: A Novel Family of Cryptoviral Attacks.
.- Towards Practical Hardware Fingerprinting for Remote Attestation.
.- Examining the Strength of Three Word Passwords.
.- Can Synthetic Data preserve Manifold properties?.
.- "Alexa, How Do You Protect My Privacy?" A Quantitative Study of User Preferences and Requirements about Smart Speaker Privacy Settings.
.- Putting Authorization Servers on User-owned Devices in User-Managed Access.
.- Identification of cyber threats and vulnerabilities in Norwegian distribution networks.
.- Chain of trust: Unraveling references among Common Criteria certified products.
.- LightArmor: A Lightweight Trusted Operating System Isolation Approach for Mobile Systems.
.- Satellite: Effective and Efficient Stack Memory Protection Scheme for Unsafe Programming Languages.
.- Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration.
.- Transforming EU Governance: The Digital Integration through EBSI and GLASS.
.- Malicious Insider Threat Detection Using Sentiment Analysis Of Social Media Topics.
.- A Structural-Semantic Approach Integrating Graph-based and Large Language Models Representation to Detect Android Malware.
.- Session Replication Attack through QR Code Sniffing in Passkey CTAP Registration.
.- GAD: A Real-time Gait Anomaly Detection System with Online Adaptive Learning.
.- Queuing Theoretic Analysis of Dynamic Attribute-based Access Control Systems.
.- IPEQ: Querying Multi-Attribute Records with Inner Product Encryption.
.- Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System.
.- Cognition Behind Access Control: A Usability Comparison of Rule and Category-based Mechanisms.
.- Obfuscating Code Vulnerabilities against Static Analysis in Android Apps.
.- Large Scale Heap Dump Embedding for Machine Learning: Predicting OpenSSH Key Locations.
.- Multi-Method Approach to Human Expertise, Automation, and Artificial Intelligence for Vulnerability Management.
.- Detecting Web Bots via Keystroke Dynamics.
.- Exploring a Low-Cost Hardware Reverse Engineering Approach: A Use Case Experiment.
.- Cross-validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm.
.- Xproofs: New Aggregatable and Maintainable Matrix Commitment with Optimal Proof Size.
.- Predicting the execution time of secure neural network inference.
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