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Computer Security – ESORICS 2025 -

Computer Security – ESORICS 2025

30th European Symposium on Research in Computer Security, Toulouse, France, September 22–24, 2025, Proceedings, Part IV
Buch | Softcover
XXI, 454 Seiten
2025
Springer International Publishing (Verlag)
978-3-032-07900-8 (ISBN)
CHF 109,95 inkl. MwSt
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This four-volume set LNCS 16053-16056 constitutes the refereed proceedings of the 30th European Symposium on Research in Computer Security, ESORICS 2025, held in Toulouse, France, during September 22 24, 2025.

The 100 full papers presented in these proceedings were carefully reviewed and selected from 600 submissions. They were organized in topical sections as follows: 

AI and Data-Centric Security, Systems and Hardware Security, Privacy, Cryptography and Secure Protocol Design, Blockchain and Financial Security, Privacy Policy and Identity Management, Adversarial and Backdoor Defenses. 

.- Transparency and Consent Challenges in mHealth Apps: An Interdisciplinary Study of Privacy Policies, Data Sharing, and Dark Patterns.
.- Don t Hash Me Like That: Exposing and Mitigating Hash-Induced Unfairness in Local Differential Privacy.
.- Functional Credentials: a Practical Construction for the European Digital Identity.
.- Privacy-Preserving k-Nearest Neighbor Query: Faster and More Secure.
.- Breaking verifiability and vote privacy in CHVote.
.- Zero-Click SnailLoad: From Minimal to No User Interaction.
.- Analysis of input-output mappings in coinjoin transactions with arbitrary values.
.- Email Cloaking: Deceiving Users and Spam Email Detectors with Invisible HTML Settings.
.- BlowPrint: Blow-Based Multi-Factor Biometrics for Smartphone User Authentication.
.- GET-AID: Graph-Enhanced Transformer for Provenance-based Advanced Persistent Threats Investigation and Detection.
.- The Economics of Deception: Structural Patterns of Rug Pull across DeFi Blockchains.
.- Privacy-Preserving Trajectory Data Publication Via Differentially-Private Representation Learning.
.- Fine-grained, privacy-augmenting, LI-compliance in the LAKE standard.
.- RIPOST: Two-Phase Private Decomposition for Multidimensional Data.
.- Correcting the Record on Leakage Abuse Attacks: Revisiting the Subgraph Attacks with Sound Evaluation.
.- Efficient and Secure Sleepy Model for BFT Consensus.
.- An Algebraic Approach to Asymmetric Delegation and Polymorphic Label Inference.
.- An Efficient Security-enhanced Accountable Access Control for Named Data Networking.
.- Dobby: A Privacy-Preserving Time Series Data Analytics System with Enforcement of Flexible Policies.
.- A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization.
.- Imitater: An Efficient Shared Mempool Protocol with Application to Byzantine Fault Tolerance.
.- Premining in the Shadows: How Hidden Blocks Weaken the Security of Proof-of-Work Chains.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXI, 454 p. 147 illus., 116 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Netzwerke Sicherheit / Firewall
Schlagworte AI and ML for security • applied cryptography • Attack and defenses • Hardware and cloud security • Network and Web Security • Privacy And Personal Data Protection • Security of AI and ML • Software and systems security
ISBN-10 3-032-07900-4 / 3032079004
ISBN-13 978-3-032-07900-8 / 9783032079008
Zustand Neuware
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