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E-grāmata: Data and Applications Security and Privacy XXXVII: 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Sophia-Antipolis, France, July 19-21, 2023, Proceedings

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  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 13942
  • Izdošanas datums: 11-Jul-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031375866
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Data and Applications Security and Privacy XXXVII: 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Sophia-Antipolis, France, July 19-21, 2023, ProceedingsPalielināt
  • Formāts: PDF+DRM
  • Sērija : Lecture Notes in Computer Science 13942
  • Izdošanas datums: 11-Jul-2023
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031375866
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This volume LNCS 13942 constitutes the refereed proceedings of the 37th Annual IFIP WG 11.3 Conference, DBSec 2023, in Sophia-Antipolis, France, July 19–21, 2023.  

The 19 full papers presented together with 5 short papers were carefully reviewed and selected from 56 submissions. The conference focuses on secure data sharing; access control and vulnerability assessment; machine learning; and mobile applications.

Privacy 1.- (Local) Differential Privacy has NO Disparate Impact on
Fairness.- Building Quadtrees for Spatial Data under Local Differential
Privacy.- Privacy-Preserving Genomic Statistical Analysis under Local
Differential Privacy.- Secure Data Sharing.- New Results on Distributed
Secret Sharing Protocols.- Probabilistic Fingerprinting Scheme for Correlated
Data.- Optimized stream-cipher-based transciphering by means of
functional-bootstrapping.- Applications 1.- Control is Nothing Without Trust:
A First Look into Digital Identity Wallet Trends.-  Impact of using a privacy
model on smart buildings data for CO2 prediction.- Digital Twins for IoT
Security Management.- Privacy 2.- Distribution Invariant Local Differential
Privacy For Federated Learning.- On the utility gain of iterative bayesian
update for locally differentially private protocols.- Differentially Private
Streaming Data Release under Temporal Correlations via
Post-processing.- Access Control and Vulnerability Assessment.- Assurance,
Consent and Access Control for Privacy-Aware OIDC Deployments.- Maintain
High-Quality Access Control Policies: An Academic and Practice-Driven
Approach.- SMET: Semantic Mapping of CVE to ATT&CK and its Application to
Cybersecurity.- Machine Learning.- Classification Auto-Encoder based Detector
against Diverse Data Poisoning Attacks.-  CodeGraphSMOTE - Data Augmentation
for Vulnerability Discovery.- An Autoencoder-Based Image Anonymization Scheme
for Privacy Enhanced Deep Learning.- Mobile Applications.- Security and
Privacy of Digital Mental Health: An Analysis of Web Services and Mobile
Applications.- Android Code Vulnerabilities Early Detection using AI-powered
ACVED Plugin.- A Dynamic Approach to Defuse Logic Bombs in Android
Applications.- Applications 2.- AMOE: a Tool to Automatically Extract and
Assess Organizational Evidence for Continuous Cloud Audit.- Essential
Information from Vulnerability Descriptions for CVSS Evaluation.- Hybrid
Consensus in Blockchain Protocols for correctness and Progress.
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