Produktbild: ICT Systems Security and Privacy Protection
Band 710 - 11%

ICT Systems Security and Privacy Protection 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings

11% sparen

96,99 € UVP 109,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.07.2024

Herausgeber

Nikolaos Pitropakis + weitere

Verlag

Springer

Seitenzahl

496

Maße (L/B/H)

24,1/16/3,3 cm

Gewicht

928 g

Sprache

Englisch

ISBN

978-3-031-65174-8

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

26.07.2024

Herausgeber

Verlag

Springer

Seitenzahl

496

Maße (L/B/H)

24,1/16/3,3 cm

Gewicht

928 g

Sprache

Englisch

ISBN

978-3-031-65174-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: ICT Systems Security and Privacy Protection
  • .- 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.