02689nam 2200469 n 450 99638476390331620200824121251.0(CKB)4940000000066164(EEBO)2264227278(UnM)99855941_21452e(UnM)99855941_21452(EXLCZ)99494000000006616419920916d1535 uy |engurbn||||a|bb|A goodly prymer in englyshe, newly corrected and printed[electronic resource] with certeyne godly meditations and prayers added to the same, very necessarie [and] profitable for all them that ryghte assuredly vnderstande not ye latine [and] greke tongues[Imprynted at London In Fletestrete by Iohn Byddell, dwellynge at the signe of the Sonne, nexte to the cundite, for Wylliam Marshallthe yere of our lorde god M.D.xxxv. the xvi. day of Iune [1535]][352] pEdited by William Marshall.A revision of STC 15986 (the first primer in English; partially based on George Joye's "Ortulus anime" (STC 13828.4)). Includes Girolamo Savonarola on Psalm li, beginning on 1st M3r with title "An expostion after the maner of a contemplation vpon the .li. psalme, called Miserere mei deus"; issued with STC 21798.5?--Cf. STC.Imprint from colophon.At foot of title page: With the kyngs most gracious priuilege for .vi. yeres.Signatures: pi A-F⁴ [2nd]A-R⁴ [3rd]A-T⁴.Formerly also STC 15989.Identified as STC 15990 on UMI microfilm reel 88.Imperfect; the Emmanuel College (University of Cambridge) Library copy lacks title page.Reproductions of the originals in the Emmanuel College (University of Cambridge) Library and the British Library.Appears at reel 88 (Emmanuel College (University of Cambridge). Library copy) and at reel 111 (British Library copy).eebo-0018Liturgies.Expostion after the maner of a contemplation vpon the .li. psalme, called Miserere mei deus.Expostion after the maner of a contemplation upon the .li. psalme, called Miserere mei deus.Primers (Prayer-books)Church of EnglandEarly works to 1800Primers (Prayer-books)Church of EnglandSavonarola Girolamo1452-1498.156772Marshall Williamfl. 1535.autJoye Georged. 1553.autCu-RivESBOOK996384763903316A goodly prymer in englyshe, newly corrected and printed2318814UNISA11039nam 22005533 450 99658786000331620240308080228.03-031-54204-5(CKB)30597539800041(MiAaPQ)EBC31201072(Au-PeEL)EBL31201072(EXLCZ)993059753980004120240308d2024 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComputer Security. ESORICS 2023 International Workshops CyberICS, DPM, CBT, and SECPRE, the Hague, the Netherlands, September 25-29, 2023, Revised Selected Papers, Part I1st ed.Cham :Springer,2024.©2024.1 online resource (518 pages)Lecture Notes in Computer Science Series ;v.143983-031-54203-7 Intro -- Preface -- Contents - Part I -- Contents - Part II -- Effects of Organizational Cyber Security Culture Across the Energy Sector Supply Chain -- 1 Introduction -- 2 Related Work -- 2.1 Supply Chain Cyber Security -- 2.2 Cyber Security Culture -- 3 Method -- 3.1 Problem Identification and Literature Review -- 3.2 Data Collection and Analysis -- 3.3 Data Interpretation and Reporting -- 4 Results -- 4.1 Governance -- 4.2 Preparedness and Incident Response -- 4.3 Supply Chain Challenges -- 4.4 Trust -- 4.5 Looking Towards Others and Propagation of Trust -- 4.6 The Impact of Organization Size -- 5 Discussion -- 5.1 Discussion of Main Research Questions -- 5.2 Exploration of Additional Findings -- 6 Conclusion and Future Work -- References -- METRICS: A Methodology for Evaluating and Testing the Resilience of Industrial Control Systems to Cyberattacks -- 1 Introduction -- 2 Cybersecurity Research for ICSs -- 2.1 Testbeds -- 2.2 Datasets -- 2.3 Related Work -- 2.4 Toward a Cross-Domain ICS Evaluation -- 3 METRICS: A Cybersecurity Evaluation Methodology for ICSs -- 3.1 Exchangeable Evaluation Environment -- 3.2 Adversaries and Responses -- 3.3 Cross-Domain Metrics -- 3.4 Evaluation Control -- 4 Use Case: METRICS for Power Grids -- 4.1 Evaluation Phases -- 4.2 Discussion -- 5 Toward Cross-Domain Resilience -- 6 Conclusion -- A Environment Description File Example -- B Scenario Description File Example -- References -- Threat Analysis in Dairy Farming 4.0 -- 1 Introduction -- 2 Related Work -- 3 CPSs of a Dairy Farm 4.0 -- 4 Threat Modeling and Risk Assessment -- 4.1 Methodology -- 4.2 Threats and Risks in the Dairy Farm 4.0 -- 5 Conclusions -- References -- Overview of Social Engineering Protection and Prevention Methods -- 1 Introduction -- 2 Method Selection Methodology -- 3 Analysis -- 3.1 Overview of Protection Method Categories.3.2 Criteria for Method Evaluation -- 3.3 Evaluation Results -- 3.4 Analysis of Evaluation Results -- 4 Conclusion -- References -- Skade - A Challenge Management System for Cyber Threat Hunting -- 1 Introduction -- 2 Related Work -- 3 Hypotheses Concerning Threat Hunting Training -- 3.1 Ensuring Constructive Alignment -- 3.2 Supporting Motivating Setting -- 3.3 Providing Feedback and Assessment -- 3.4 Covering Multiple Learning Dimensions -- 4 Realization of the Challenge Manager Skade -- 4.1 Features -- 4.2 Functions -- 4.3 Example Based on the Nordic-US Exercise of 2023 -- 5 Discussion -- 5.1 Skade as a Design Science Effort -- 5.2 Trainees and Requirements on Challenges -- 5.3 Interaction with Emulators -- 5.4 Learning Objectives and Learning Activities -- 5.5 Experiment Plan and Tests of Hypotheses -- 6 Conclusion -- References -- On the Usage of NLP on CVE Descriptions for Calculating Risk -- 1 Introduction -- 2 Cybersecurity Related Background -- 2.1 Common Vulnerabilities and Exposures (CVE) -- 2.2 Common Platform Enumeration (CPE) -- 2.3 Common Weakness Enumeration (CWE) -- 2.4 Common Attack Pattern Enumeration and Classification (CAPEC) -- 2.5 National Vulnerability Database (NVD) -- 2.6 Common Vulnerability Scoring System (CVSS) -- 3 Related Work -- 4 Natural Language Processing Background -- 4.1 Text Classification -- 4.2 spaCy -- 5 Implementation -- 6 Conclusion -- References -- Evaluation of an OPC UA-Based Access Control Enforcement Architecture -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Protocol Modeling -- 4 Implementation -- 5 Experiment -- 6 Results -- 6.1 Results on Connection Experiments -- 6.2 Results on Access Resource Experiments -- 6.3 Results on Different Token Expiry Times -- 6.4 Result on Different Token Sizes -- 6.5 Results on Lowering the CPU Clock Frequency of the Resource Server.7 Suggestions on Optimizations of Session Activation -- 8 Discussion -- 8.1 Recommendations -- 8.2 Limitations and Impact -- 9 Conclusions -- References -- HoneyEVSE: An Honeypot to Emulate Electric Vehicle Supply Equipments -- 1 Introduction -- 2 Background -- 2.1 Internet Exchange Point -- 2.2 Honeypot -- 2.3 Vehicle-to-Grid (V2G) -- 3 Related Work -- 4 HoneyEVSE Honeypot -- 4.1 Architecture -- 4.2 Physical Process -- 4.3 Services and Interaction -- 4.4 Data Logging -- 5 Results -- 5.1 Interactions Analysis -- 5.2 Interactions Origin -- 6 Conclusion -- References -- DPM 2023 -- Foreword from the DPM 2023 Program Chairs -- 18th International Workshop on Data Privacy Management - DPM 2023 -- PC Chairs -- Program Committee -- Steering Committee -- Additional Reviewers -- Not Only Security and Privacy: The Evolving Ethical and Legal Challenges of E-Commerce -- 1 Introduction -- 2 Background -- 3 Methodology and Research Strategy -- 3.1 Research Questions -- 4 Results -- 4.1 The `old' Ethical Dilemmas of E-Commerce -- 4.2 The `New' Ethical Dilemmas of E-Commerce -- 5 Conclusions -- References -- Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data -- 1 Introduction -- 2 Background and Related Work -- 2.1 Synthetic Data Generation -- 2.2 Membership Inference Attacks Against Synthetic Tabular Data -- 3 Attack Scenarios -- 3.1 (S0) Auxiliary -- 3.2 (S1) Black Box -- 3.3 (S2) Published -- 3.4 (S3) Upper Bound -- 4 Experimental Setup -- 4.1 Synthetic Data Generators -- 4.2 Real World Datasets -- 4.3 Meta-classifier Methods -- 4.4 Parameters of the Attack -- 5 Results -- 5.1 Query Based Attack -- 5.2 Target Attention Attack -- 5.3 Robustness Analysis for Number of Synthetic Records m -- 6 Future Work -- 6.1 Impact of Releasing Less Synthetic Records.6.2 Differentially Private Synthetic Generation Methods -- 6.3 Bridging the Gap with the Upper Bound -- 7 Conclusion -- References -- Patient-Centric Health Data Sovereignty: An Approach Using Proxy Re-Encryption -- 1 Introduction -- 2 Proxy Re-Encryption -- 2.1 Syntax and Basic Definitions -- 2.2 Umbral's PRE Scheme -- 3 Related Work -- 4 Patient-Centric Health Data Sovereignty -- 4.1 Proposed Solution -- 4.2 Authentication/Authorisation -- 4.3 Access Delegation Scenario -- 4.4 Break-Glass Approach -- 5 Performance Analysis -- 6 Conclusion -- References -- PrivacySmart: Automatic and Transparent Management of Privacy Policies -- 1 Introduction -- 1.1 Related Work -- 1.2 Contribution and Plan of This Paper -- 2 Proposal Description -- 2.1 System Architecture Overview -- 2.2 User Privacy Preferences -- 2.3 Pop-Up Interaction Module -- 2.4 Consent Smart Contract -- 2.5 Workflow -- 3 Discussion -- 3.1 Implementation -- 3.2 Evaluation -- 4 Conclusions and Future Work -- References -- Try On, Spied On?: Privacy Analysis of Virtual Try-On Websites and Android Apps -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Collection of VTO Providers, Websites and Apps -- 3.2 Analyzing the Sharing of Users' Images on VTO Websites/Apps -- 3.3 Analyzing Privacy Policies w.r.t VTO Feature -- 3.4 Measurement of Trackers -- 3.5 Analysing VTO Service Providers -- 4 Results -- 4.1 Sharing of Users' Images on VTO Featuring Websites -- 4.2 Privacy Policy Analysis w.r.t VTO Feature on Websites -- 4.3 Sharing of Users' Images on VTO Featuring Apps -- 4.4 Privacy Policy Analysis w.r.t VTO Feature on Apps -- 4.5 Measurement of Trackers -- 4.6 Analysis of VTO Service Providers -- 5 Conclusion -- References -- Integrally Private Model Selection for Support Vector Machine -- 1 Introduction -- 2 Preliminaries -- 2.1 Support Vector Machine (SVM).2.2 Model Comparison Attack for SVM and Integral Privacy -- 3 Methodology -- 3.1 Overview -- 3.2 Datasets -- 3.3 Creation of Partitions -- 3.4 Integrally Private SVM (IPSVM) -- 4 Results -- 4.1 Drawbacks -- 5 Conclusion and Future Work -- References -- Differentially Private Traffic Flow Prediction Using Transformers: A Federated Approach -- 1 Introduction -- 2 Preliminaries -- 2.1 Federated Learning -- 2.2 Differential Privacy -- 2.3 Temporal Fusion Transformers -- 3 Related Work -- 4 Differentially Private Federated Traffic Flow Prediction Using Temporal Fusion Transformers -- 4.1 Client-Side Training -- 4.2 Model Perturbation -- 4.3 Aggregation Algorithm -- 5 Dataset and Experimental Settings -- 6 Results and Analysis -- 7 Conclusion and Future Works -- References -- Analyzing Continuous Ks-Anonymization for Smart Meter Data -- 1 Introduction -- 2 Problem Statement and Related Work -- 3 ks-Anonymity and CASTLE -- 4 Evaluation -- 5 Conclusion -- References -- Towards Real-World Private Computations with Homomorphic Encryption: Current Solutions and Open Challenges -- 1 Introduction -- 2 Industrial Context -- 3 Background -- 4 Available Libraries -- 4.1 HElib -- 4.2 SEAL -- 4.3 PALISADE -- 4.4 OpenFHE -- 4.5 TFHE -- 4.6 Concrete -- 4.7 LATTIGO -- 5 Towards Real-World HE Applications: HELT -- 6 Related Work -- 7 Conclusion -- References -- AddShare: A Privacy-Preserving Approach for Federated Learning -- 1 Introduction -- 2 Background and Related Work -- 2.1 Federated Learning Attacks -- 2.2 Privacy in Federated Learning -- 3 The AddShare Approach -- 3.1 Threat Models -- 3.2 AddShare Algorithm -- 3.3 Implemented AddShare Variants -- 4 Empirical Evaluation -- 5 Results and Discussion -- 6 Conclusion -- References -- Secure Multiparty Sampling of a Biased Coin for Differential Privacy -- 1 Introduction -- 1.1 Other Background and Related Works.1.2 Contribution.Lecture Notes in Computer Science SeriesKatsikas Sokratis597791Cuppens édéric1333105Cuppens-Boulahia Nora1731901Lambrinoudakis Costas1731902Garcia-Alfaro Joaquin1731903Navarro-Arribas Guillermo1731904Nespoli Pantaleone1731905Kalloniatis Christos1364708Mylopoulos John1731906Antón Annie1731907MiAaPQMiAaPQMiAaPQBOOK996587860003316Computer Security. ESORICS 2023 International Workshops4145266UNISA