LEADER 05082nam 22007575 450 001 996542666903316 005 20230706120727.0 010 $a3-031-37586-6 024 7 $a10.1007/978-3-031-37586-6 035 $a(CKB)27559769000041 035 $a(MiAaPQ)EBC30627433 035 $a(Au-PeEL)EBL30627433 035 $a(DE-He213)978-3-031-37586-6 035 $a(PPN)272249955 035 $a(EXLCZ)9927559769000041 100 $a20230706d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData and Applications Security and Privacy XXXVII$b[electronic resource] $e37th Annual IFIP WG 11.3 Conference, DBSec 2023, Sophia-Antipolis, France, July 19?21, 2023, Proceedings /$fedited by Vijayalakshmi Atluri, Anna Lisa Ferrara 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (415 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13942 311 $a9783031375859 327 $aPrivacy 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. 330 $aThis 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. 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Expertly balancing theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required. Key topics include: * Markov processes * Stochastic differential equations * Arbitrage-free markets and financial derivatives * Insurance risk * Population dynamics, and epidemics * Agent-based models New to the Third Edition: * Infinitely divisible distributions * Random measures * Levy processes * Fractional Brownian motion * Ergodic theory * Karhunen-Loeve expansion * Additional applications * Additional  exercises * Smoluchowski  approximation of  Langevin systems An Introduction to Continuous-Time Stochastic Processes, Third Edition will be of interest to a broad audience of students, pure and applied mathematicians, and researchers and practitioners in mathematical finance, biomathematics, biotechnology, and engineering. Suitable as a textbook for graduate or undergraduate courses, as well as European Masters courses (according to the two-year-long second cycle of the ?Bologna Scheme?), the work may also be used for self-study or as a reference. Prerequisites include knowledge of calculus and some analysis; exposure to probability would be helpful but not required since the necessary fundamentals of measure and integration are provided. From reviews of previous editions: "The book is ... an account of fundamental concepts as they appear in relevant modern applications and literature. ... 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