Availability, Reliability and Security 20th International Conference, ARES 2025, Ghent, Belgium, August 11–14, 2025, Proceedings, Part II /
This two-volume set LNCS 15992-15993 constitutes the proceedings of the 20th International Conference on Availability, Reliability and Security, ARES 2025, in Ghent, Belgium, during August 11-14, 2025. The 34 full papers presented in this book together with 8 short papers were carefully reviewed and...
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| Այլ հեղինակներ: | , , , |
| Ձևաչափ: | Էլեկտրոնային էլ․ գիրք |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Հրատարակություն: | 1st ed. 2025. |
| Շարք: | Lecture Notes in Computer Science,
15993 |
| Խորագրեր: | |
| Առցանց հասանելիություն: | https://doi.org/10.1007/978-3-032-00627-1 |
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Բովանդակություն:
- Usable Security and Awareness: QRisk: Think Before You Scan QR codes
- Evaluating Argon2 Adoption and Effectiveness in Real-World Software
- AdvisoryHub: Design and Evaluation of a Cross-Platform Security Advisory System for Cyber Situational Awareness
- Service-aware password risk meter – Helping users to choose suitable passwords in services. System Security: TEE-Assisted Recovery and Upgrades for Long-Running BFT Services
- Fast and Efficient Secure L1 Caches for SMT
- FatPTE - Expanding Page Table Entries for Security
- CHERI UNCHAINED: Generic Instruction and Register Control for CHERI Capabilities
- Exploring speculation barriers for RISC-V selective speculation
- Do we still need canaries in the coal mine? Measuring shadow stack effectiveness in countering stack smashing. Supply Chain Security, Malware and Forensics: SoK: Towards Reproducibility for Software Packages in Scripting Language Ecosystems
- Clustering Malware at Scale: A First Full-Benchmark Study
- Advances in Automotive Digital Forensics: Recent Trends and Future Directions
- Exploring the Susceptibility to Fraud of Monetary Incentive Mechanisms for Strengthening FOSS Projects. Machine Learning and Security: Multi-Agent Simulation and Reinforcement Learning to Optimize Moving Target Defense
- LeaX: Class-Focused Explanations for Locating Leakage in Learning-based Profiling Attacks
- Large Language Models are Unreliable for Cyber Threat Intelligence
- Augmented Tabular Adversarial Evasion Attacks with Constraint Satisfaction Guarantees
- TTP Classification with Minimal Labeled Data: A Retrieval-Based Few-Shot Learning Approach
- C2 Beaconing Detection via AI-based Time-Series Analysis
- Fooling Rate and Perceptual Similarity: A Study on the Effectiveness and Quality of DCGAN-based Adversarial Attacks.