Del 13942 - Lecture Notes in Computer Science

Data and Applications Security and Privacy XXXVII

37th Annual IFIP WG 11.3 Conference, DBSec 2023, Sophia-Antipolis, France, July 19–21, 2023, Proceedings

Häftad, Engelska, 2023

Av Vijayalakshmi Atluri, Anna Lisa Ferrara

1 579 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2023-07-12
Mått155 x 235 x 24 mm
Vikt645 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor414
FörlagSpringer International Publishing AG
ISBN9783031375859

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Informationsteknik: allmänt inom Data och it
Programmeringsböcker inom Data och it
Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
Databaser inom Data och it
IT-säkerhet inom Data och it

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.