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

ISBN-13: 9783031375859 / Angielski

Vijayalakshmi Atluri;Anna Lisa Ferrara

Opis

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.

Spis treści

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.