Zum Hauptinhalt springen
Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Risks and Security of Internet and Systems -

Risks and Security of Internet and Systems

19th International Conference, CRiSIS 2024, Aix-en-Provence, France, November 26-28, 2024, Proceedings
Buch | Softcover
XX, 560 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-89349-0 (ISBN)
CHF 179,70 inkl. MwSt
  • Versand in 15-20 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken

This book constitutes the revised selected papers of the 19th International Conference on Risks and Security of Internet and Systems, CRiSIS 2024, held in Aix-en-Provence, France, during November 26-28, 2024.

The 32 full papers and 2 short papers presented here were carefully selected and reviewed from 90 submissions. These papers have been organized in the following topical sections: Security Network Protocols; AI-Driven Threat Detection; Information Security Management; Applied Cryptography & Privacy; Threats Detection & Protection; Risk Identification & Management; Blockchain & Distributed Ledger Security; AI for Security Assessment.

.- Abstracts of Invited Talks.

.- Horizontal Attack from Theory to Practice.

.- Security for Safety Critical Systems in the Railways.

.- Security Network Protocols.

.- Q-Auth : Decentralized and Quantum-Secure Authentication Protocol for Vehicular Networks.

.- Card-Based Secure Evaluation of Decision Trees.

.- FREIDA : A Concrete Tool for Reproducible Evaluation of IDS Using a Data-Driven Approach.

.- Identity Management in Cross-Cloud Environments : Towards Self-Sovereign Identities Using Current Solutions.

.- Detecting Information Disclosure Vulnerability in Software Architectures Using Alloy.

.- Protecting Digital Identity Wallet : A Threat Model in the Age of eIDAS 2.0.

.- Small Mistakes with Big Impacts : A Study on Secure Coding Practices in Java Open Source Projects.

.- AI-Driven Threat Detection.

.- On the Properness of Large Language Models for Malware Detection.

.- Automated Attack Tree Generation Using Artificial Intelligence & Natural Language Processing.

.- Classifying Insider Threat Scenarios Through Explainable Artificial Intelligence.

.- Automated Risk Assessment of Shell-Based Attacks Using a LLM.

.- Information Security Management.

.- ECU-KM : An E cient Key Management for In-Vehicle Networks.

.- Injecting Bias into Text Classification Models Using Backdoor Attacks.

.- Towards New Models of Information Sharing.

.- Distributed and Verifiable Digital Badges.

.- European and British Regulatory Perspectives : A Systematic Literature Review on Privacy by Design.

.- Enhancing Privacy in Association Rule Mining on Healthcare Data : A CCA- Secure Homomorphic El-Gamal Approach.

.- A Study on NLP-Based Semi-Automated Mapping of Cybersecurity Controls on Vulnerabilities.

.- Applied Cryptography & Privacy.

.- Detecting Obfuscated Android Malware through Categorized Smali N-gram Instructions and Ensemble Learning.

.- Investing in Renewable Energy : Securing Solar Panels Marketplace by NFT.

.- Enhancing Text Encryption in Cloud Computing Using a Hyper-Chaotic System with Logistic Map.

.- Threats Detection & Protection.

.- Preventing WebRTC IP Address Leaks.

.- Highlighting the Impact of Packed Executable Alterations with Unsupervised Learning.

.- Device Fingerprinting Remediation in Android and iOS Apps.

.- Towards Operational Intrusion Detection Systems Dedicated to Agriculture : Challenges and Requirements.

.- Risk Identification & Management.

.- A Safety Kernel for Flexible Level Crossing Management.

.- E cient Identification of UAVs Through Automatic Communication Frame Linking.

.- Enterprise Risk Management in SMEs : Insights from West Africa.

.- Blockchain & Distributed Ledger Security.

.- A Multi-Modal Ontology Integrating Pedestrian Safety in Pod Transfers.

.- Modeling and Assessing Coercion Threats in Electronic Voting.

.- Rainbow Over Clouds : A Lightweight Pairing-Free Multi-Replica Multi-Cloud Public Auditing Scheme.

.- AI for Security Assessment.

.- Automated Assessment of the Exploits Using Deep Learning Methods.

.- Improving Attack Graph-Based Self-Protecting Systems : A Computational Pipeline for Accuracy-Scalability Trade-O .

.- Relevance of Image-Based Representation for Android Malwar

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XX, 560 p. 145 illus., 128 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Netzwerke Sicherheit / Firewall
Schlagworte authentication • Autonomous Robots • Blockchain technologies • Computer Science • distributed ledger technologies • formal methods • Intrusion Detection Systems • machine learning • Network Security • privacy • Risks • security • Smart Contracts • software-defined networking • Transportation Systems
ISBN-10 3-031-89349-2 / 3031893492
ISBN-13 978-3-031-89349-0 / 9783031893490
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Das Lehrbuch für Konzepte, Prinzipien, Mechanismen, Architekturen und …

von Norbert Pohlmann

Buch | Softcover (2022)
Springer Vieweg (Verlag)
CHF 53,15
Management der Informationssicherheit und Vorbereitung auf die …

von Michael Brenner; Nils gentschen Felde; Wolfgang Hommel

Buch (2024)
Carl Hanser (Verlag)
CHF 97,95