top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
IT-Sicherheit : Eine Einführung / / Roland Hellmann
IT-Sicherheit : Eine Einführung / / Roland Hellmann
Autore Hellmann Roland
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter Oldenbourg, , [2018]
Descrizione fisica 1 online resource (205 pages)
Disciplina 658.4038
Collana De Gruyter Studium
Soggetto topico Information technology - Management
Computer networks - Security measures
Database security
Soggetto genere / forma Electronic books.
ISBN 3-11-049208-3
3-11-049485-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Inhalt -- 1. Grundlagen und Motivation -- 2. Symmetrische Verschlüsselung -- 3. Public Key-Verfahren -- 4. Kryptografische Hashfunktionen -- 5. Digitale Signaturen -- 6. Weitere Anwendungen und abschließende Betrachtungen zur Kryptografie -- 7. Verfügbarkeit -- 8. Internetsicherheit -- 9. Firewalls -- 10. IoT-Sicherheit -- 11. Lösungen zu den Aufgaben -- Literatur -- Stichwortverzeichnis
Record Nr. UNINA-9910467341503321
Hellmann Roland  
Berlin ; ; Boston : , : De Gruyter Oldenbourg, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IT-Sicherheit : Eine Einführung / / Roland Hellmann
IT-Sicherheit : Eine Einführung / / Roland Hellmann
Autore Hellmann Roland
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter Oldenbourg, , [2018]
Descrizione fisica 1 online resource (205 pages)
Disciplina 658.4038
Collana De Gruyter Studium
Soggetto topico Information technology - Management
Computer networks - Security measures
Database security
Soggetto non controllato IT security
cryptology
cyber security
data security
information security
ISBN 3-11-049208-3
3-11-049485-X
Classificazione PZ 4500
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Inhalt -- 1. Grundlagen und Motivation -- 2. Symmetrische Verschlüsselung -- 3. Public Key-Verfahren -- 4. Kryptografische Hashfunktionen -- 5. Digitale Signaturen -- 6. Weitere Anwendungen und abschließende Betrachtungen zur Kryptografie -- 7. Verfügbarkeit -- 8. Internetsicherheit -- 9. Firewalls -- 10. IoT-Sicherheit -- 11. Lösungen zu den Aufgaben -- Literatur -- Stichwortverzeichnis
Record Nr. UNINA-9910796783703321
Hellmann Roland  
Berlin ; ; Boston : , : De Gruyter Oldenbourg, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
IT-Sicherheit : Eine Einführung / / Roland Hellmann
IT-Sicherheit : Eine Einführung / / Roland Hellmann
Autore Hellmann Roland
Pubbl/distr/stampa Berlin ; ; Boston : , : De Gruyter Oldenbourg, , [2018]
Descrizione fisica 1 online resource (205 pages)
Disciplina 658.4038
Collana De Gruyter Studium
Soggetto topico Information technology - Management
Computer networks - Security measures
Database security
Soggetto non controllato IT security
cryptology
cyber security
data security
information security
ISBN 3-11-049208-3
3-11-049485-X
Classificazione PZ 4500
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Inhalt -- 1. Grundlagen und Motivation -- 2. Symmetrische Verschlüsselung -- 3. Public Key-Verfahren -- 4. Kryptografische Hashfunktionen -- 5. Digitale Signaturen -- 6. Weitere Anwendungen und abschließende Betrachtungen zur Kryptografie -- 7. Verfügbarkeit -- 8. Internetsicherheit -- 9. Firewalls -- 10. IoT-Sicherheit -- 11. Lösungen zu den Aufgaben -- Literatur -- Stichwortverzeichnis
Record Nr. UNINA-9910810394903321
Hellmann Roland  
Berlin ; ; Boston : , : De Gruyter Oldenbourg, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering snowflake solutions : supporting analytics and data sharing / / Adam Morton
Mastering snowflake solutions : supporting analytics and data sharing / / Adam Morton
Autore Morton Adam
Pubbl/distr/stampa Berkeley, CA : , : Apress, , [2022]
Descrizione fisica 1 online resource (243 pages)
Disciplina 005.7565
Soggetto topico Querying (Computer science)
Database management
Database security
ISBN 1-4842-8029-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Snowflake Architecture 2. Data Movement 3. Cloning 4. Managing Security and User Access Control 5. Protecting Data in Snowflake 6. Business Continuity and Disaster Recovery 7. Data Sharing and the Data Cloud 8. Programming 9. Advanced Performance Tuning 10. Developing Applications in Snowflake
Record Nr. UNINA-9910548168203321
Morton Adam  
Berkeley, CA : , : Apress, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Oracle Identity and Access Manager 11g for administrators [[electronic resource] ] : administer Oracle Identity and Access Management: installation, configuration, and day-to-day tasks / / Atul Kumar
Oracle Identity and Access Manager 11g for administrators [[electronic resource] ] : administer Oracle Identity and Access Management: installation, configuration, and day-to-day tasks / / Atul Kumar
Autore Kumar Atul
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, U.K., : Packt Pub., 2011
Descrizione fisica 1 online resource (337 p.)
Disciplina 005.7575
005.8
Soggetto topico Computers - Access control
Computer security
Computer networks - Security measures
Database security
Soggetto genere / forma Electronic books.
ISBN 1-283-28394-8
9786613283948
1-84968-269-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Oracle Identity Management: Overview and Architecture; Oracle Identity Management overview; WebLogic Server overview; Oracle Access Manager overview & architecture; Oracle Access Manager server-side components; Oracle Identity Manager overview & architecture; Oracle Identity Manager architecture; Presentation tier; Business Services tier; Data tier; Oracle Identity Manager components; Summary; Chapter 2: Installing Oracle Identity and Access Manager; Installation overview
Installation typesInteractive versus Silent Install; Collocated versus Distributed install; Single instance versus Multiple instance (cluster) install; Things god to know for IDAM Installation; Installing Oracle Identity and Access Management; Installing IDAM 11.1.1.3; Installing SOA Suite 11.1.1.2.0; Upgrading SOA Suite to 11.1.1.3.0; Configuring Identity and Access Management and creating your WebLogic domain; Configuring Oracle Identity Manager server; Starting Services and testing URLs; Installing for high availability; Prerequisites for Oracle IDAM high-availability configuration
Installing and Configuring IDAM for high-availabilitySilent installation; Silent installation steps; Deinstalling/Uninstalling; Deinstalling/Uninstalling Oracle Identity Management Home; Deinstalling/Uninstalling Oracle Common Home; Summary; Chapter 3: IDAM Directory Structure and Files; Common environment variables; Middleware Home; WebLogic Home; Coherence Home; IDAM Oracle Home; Common Oracle Home; SOA Oracle Home; Domain Home; Summary; Chapter 4: Start-up Shutdown IDAM; Start-up/Shutdown order; Starting IDAM server; Stopping default IDAM installation; Configure Node Manager
Configure Node Manager as a serviceConfigure Node Manager as a service on Windows; Configure Node Manager as a service on Unix/Linux; Options to start/stop IDAM; Start/Stop using WLST commands; Start/Stop using Fusion Middleware Control; Start/Stop using WebLogic console; Troubleshooting Start-up; Things good to know; Summary; Chapter 5: OAM Administration and Navigation; Accessing the OA Administration console; Logging in and out of OAM Administration console; Navigating the OAM Administration console; Console layout; Policy configuration; System configuration; Data sources
User Identity storeHow to access User Identity Store?; How to create User Identity Store?; How to set a User Identity Store as Primary?; Important points when using stores; OAM policy and session data store; OAM configuration data store; Security key and Java key store; OAM server registration; How to add OAM Server Instance?; Registering OAM agents; What happens when registering agent with OAM server; Registering agents using the Administration console; Registering 11g/10g WebGates using the Administration console; Registering agents remotely using the command line
Remote Registration utility usage
Record Nr. UNINA-9910461826903321
Kumar Atul  
Birmingham, U.K., : Packt Pub., 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A practical hands-on approach to database forensics / / Nhien-An Le-Khac and Kim-Kwang Raymond Choo
A practical hands-on approach to database forensics / / Nhien-An Le-Khac and Kim-Kwang Raymond Choo
Autore Le-Khac Nhien-An
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (302 pages)
Disciplina 005.8
Collana Studies in Big Data
Soggetto topico Database security
Digital forensic science
ISBN 3-031-16127-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910620201303321
Le-Khac Nhien-An  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A practical hands-on approach to database forensics / / Nhien-An Le-Khac and Kim-Kwang Raymond Choo
A practical hands-on approach to database forensics / / Nhien-An Le-Khac and Kim-Kwang Raymond Choo
Autore Le-Khac Nhien-An
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (302 pages)
Disciplina 005.8
Collana Studies in Big Data
Soggetto topico Database security
Digital forensic science
ISBN 3-031-16127-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996495561103316
Le-Khac Nhien-An  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Preparing for the future : an assessment of emerging cyber threats : hearing before the Subcommittee on Cybersecurity, Infrastructure Protection, and Innovation of the Committee on Homeland Security, House of Representatives, One Hundred Sixteenth Congress, first session, October 22, 2019
Preparing for the future : an assessment of emerging cyber threats : hearing before the Subcommittee on Cybersecurity, Infrastructure Protection, and Innovation of the Committee on Homeland Security, House of Representatives, One Hundred Sixteenth Congress, first session, October 22, 2019
Pubbl/distr/stampa Washington : , : U.S. Government Publishing Office, , 2020
Descrizione fisica 1 online resource (iii, 44 pages)
Soggetto topico Cyberinfrastructure - Security measures - United States
Cyberterrorism - United States - Prevention
Computer security - United States
Hacking - United States - States - Prevention
Computer networks - Security measures - United States
Database security - United States
Computer networks - Security measures
Computer security
Cyberterrorism - Prevention
Database security
Soggetto genere / forma Legislative hearings.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Preparing for the future
Record Nr. UNINA-9910713513603321
Washington : , : U.S. Government Publishing Office, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Privacy in statistical databases : International Conference, PSD 2022, Paris, France, September 21-23, 2022, proceedings / / Josep Domingo-Ferrer and Maryline Laurent, editors
Privacy in statistical databases : International Conference, PSD 2022, Paris, France, September 21-23, 2022, proceedings / / Josep Domingo-Ferrer and Maryline Laurent, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (375 pages)
Disciplina 005.8
Collana Lecture notes in computer science
Soggetto topico Data protection
Database security
Soggetto non controllato Mathematics
ISBN 3-031-13945-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Privacy Models -- An Optimization-Based Decomposition Heuristic for the Microaggregation Problem -- 1 Introduction -- 2 The Decomposition Heuristic -- 3 The Local Search Improvement Heuristic -- 4 The Mixed Integer Linear Optimization Algorithm Based on Column Generation -- 5 Computational Results -- 6 Conclusions -- References -- Privacy Analysis with a Distributed Transition System and a Data-Wise Metric -- 1 Introduction -- 2 Distributed Labeled-Tagged Transition Systems -- 3 -Indistinguishability, -Local-Differential Privacy -- 4 -Differential Privacy -- 5 Comparing Two Nodes on One or More Runs -- 6 New Metric for Indistinguishability and DP -- 7 Related Work and Conclusion -- References -- Multivariate Mean Comparison Under Differential Privacy -- 1 Introduction -- 2 Mathematical Background -- 2.1 Statistical Tests for Two Samples -- 2.2 Hotelling's t2-Test -- 2.3 Differential Privacy -- 3 Privatized Mean Comparison -- 3.1 Privatization of the t2-Statistic -- 3.2 Bootstrap -- 4 Simulation -- 5 Conclusion -- A Proofs -- B Effects of Privatization - Example -- C Algorithms -- References -- Asking the Proper Question: Adjusting Queries to Statistical Procedures Under Differential Privacy -- 1 Introduction -- 1.1 Setting -- 1.2 Our Contribution -- 1.3 Related Work -- 2 Fixed (Non-random) Datasets -- 2.1 Confidence Regions -- 2.2 Testing Hypotheses: Likelihood-Ratio Test -- 3 Random, Normally Distributed Data -- 3.1 Confidence Regions -- 3.2 Testing Hypotheses: Likelihood-Ratio Test -- 4 Numerical Example -- 5 Appendix -- References -- Towards Integrally Private Clustering: Overlapping Clusters for High Privacy Guarantees -- 1 Introduction -- 2 Preliminaries -- 2.1 Integral Privacy -- 2.2 k-Anonymity, Microaggregation, and MDAV -- 2.3 Genetic Algorithms -- 3 -Centroid c-Means.
3.1 Formalization -- 3.2 Properties -- 4 Experiments -- 4.1 Solving the Optimization Problem -- 4.2 Datasets -- 4.3 Parameters -- 4.4 Results -- 5 Conclusions -- References -- II Tabular Data -- Perspectives for Tabular Data Protection - How About Synthetic Data? -- 1 Introduction -- 2 Recalling the Methods under Consideration -- 2.1 Synthetic Data -- 2.2 Targeted Record Swapping (TRS) -- 2.3 CKM Noise Design for Tabulations of Continuous Variables -- 3 Study Design -- 3.1 Test Data -- 3.2 Application Settings for Synthetic Data Generation -- 3.3 Application Settings for Targeted Record Swapping -- 3.4 Application Settings for the Cell Key Method -- 4 Measuring Utility and Disclosure Risk -- 5 Results -- 5.1 Comparing Utility Loss -- 6 Summary, Open Issues, Conclusions -- Appendix -- A.1 Approximate Behavior of Utility Loss Indicator U for CKM in Extremely Detailed Tabulations -- Appendix A.2 -- Appendix A.3 -- References -- On Privacy of Multidimensional Data Against Aggregate Knowledge Attacks -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 3.1 Preliminaries -- 3.2 Problem Definition -- 4 Privacy-Preserving Method -- 4.1 Preprocessing Step -- 4.2 Space Allocation Step -- 4.3 View Creation Step -- 5 Experimental Evaluation -- 6 Discussion -- 7 Conclusion -- References -- Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular Data -- 1 Introduction -- 2 A Motivating Example -- 3 A Theoretical Framework -- 4 Application of the Theory -- 4.1 Application to Frequency Tables -- 4.2 Precision and Implementation -- 4.3 Application to Magnitude Tables -- 4.4 Detection of Disclosure Risk -- 5 Real Applications -- 5.1 Register-Based Employment Statistics -- 5.2 Commissioned Data in Business Statistics -- 6 Concluding Remarks -- References -- Disclosure Risk Assessment and Record Linkage.
The Risk of Disclosure When Reporting Commonly Used Univariate Statistics -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion Example -- 5 Graphical Representation -- 6 Conclusion -- Appendix -- References -- Privacy-Preserving Protocols -- Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers -- 1 Introduction -- 2 Background -- 3 Binding to a Sequence of Analyses with Tit-for-Tat Analysis Disclosure -- 3.1 Instruction Preparation -- 3.2 Hash-Based Coding and Execution -- 3.3 Security Properties -- 4 Using Binding Sequences of User Analyses to Ensure Ethical Compliance -- 4.1 Checking Confidentiality -- 4.2 Ex ante Checking of Explainability and Fairness -- 5 Conclusions and Further Research -- References -- Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic Encryption -- 1 Introduction -- 2 Background -- 2.1 Homomorphic Encryption -- 2.2 Functional Bootstrap in TFHE -- 3 Our Contribution -- 3.1 The System Model -- 3.2 Encrypted k-NN Challenges -- 3.3 Our Proposed k-NN Algorithm -- 4 Performance Evaluation -- 4.1 Test Environment -- 4.2 Performance Results -- 5 Conclusion -- References -- Unstructured and Mobility Data -- Automatic Evaluation of Disclosure Risks of Text Anonymization Methods -- 1 Introduction -- 2 Background -- 3 A Re-identification Attack for Evaluating Anonymized Text -- 3.1 Building the Classifier -- 4 Empirical Experiments -- 4.1 Results -- 5 Conclusions and Future Work -- References -- Generation of Synthetic Trajectory Microdata from Language Models -- 1 Introduction -- 2 Related Work -- 2.1 Sequential Models for Trajectory Prediction -- 2.2 Privacy-Preserving Tajectory Data Publishing -- 3 Synthetic Trajectory Generation Method -- 3.1 Data Preprocessing -- 3.2 Next-Point Prediction Model -- 3.3 Synthetic Data Generation -- 4 Experimental Analysis.
4.1 Data Sets and Preprocessing -- 4.2 Model Training -- 4.3 Results of Data Generation -- 4.4 Additional Remarks on the Experimental Work -- 5 Conclusions and Future Work -- References -- Synthetic Data -- Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications -- 1 Introduction -- 2 Data Synthesis Methodology -- 2.1 Administrative Tax Data -- 2.2 Synthetic Data Generation -- 2.3 Disclosure Risk Measures -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach -- 1 Introduction -- 2 Review of the Use of Saturated Models for Synthesis -- 2.1 The Metrics -- 3 The Role of m as a Tuning Parameter -- 3.1 Obtaining Inferences from m> -- 1 Data Sets -- 4 Introducing the 3(k,d) and 4(k,d) Metrics -- 5 Empirical Study -- 5.1 Measuring Risk -- 5.2 Measuring Utility -- 5.3 Tuning m and in Relation to the Risk-Utility Trade-Off -- 6 Discussion -- References -- Challenges in Measuring Utility for Fully Synthetic Data -- 1 Introduction -- 2 Measuring the Utility -- 2.1 A Global Utility Measure: The pMSE -- 2.2 Two Outcome-Specific Measure: The Confidence Interval Overlap and the Mean Absolute Standardized Coefficient Difference -- 3 Misleading Utility Measures: An Illustration -- 3.1 Synthesis Strategies -- 3.2 Results for the Fit-for-Purpose Measures -- 3.3 Results for the Outcome Specific Measures -- 3.4 Results for the Global Utility Measures -- 4 Conclusions -- References -- Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata -- 1 Introduction -- 2 Background -- 2.1 Data Synthesis -- 2.2 Synthetic Census Microdata -- 3 Research Design -- 3.1 Data Synthesisers -- 3.2 Data -- 3.3 Measuring Disclosure Risk Using TCAP -- 3.4 Evaluating Utility -- 4 Results -- 5 Discussion -- 6 Conclusion -- References.
Utility and Disclosure Risk for Differentially Private Synthetic Categorical Data -- 1 Introduction -- 2 Methods for Creating Synthetic Data Sets -- 2.1 Without DP Guarantee -- 2.2 Adapting Methods for Synthetic Data to Make Them DP -- 3 Measures of Utility and Disclosure Risk for Synthetic Categorical Data -- 3.1 Disclosure Risk -- 3.2 Utility -- 4 Data Sets Used for the Evaluation -- 5 Results -- 5.1 Utility and Disclosure Risk for Non-DP Synthesis -- 5.2 Utility and Disclosure Risk for DP Synthesis -- 6 Discussion and Future Work -- A Appendix -- A.1 Details of the Variables in Data Sets -- References -- Machine Learning and Privacy -- Membership Inference Attack Against Principal Component Analysis -- 1 Introduction -- 2 Background -- 2.1 Principal Component Analysis -- 2.2 Membership Inference Attacks -- 3 Related Work -- 4 Membership Inference Attacks Against PCA -- 4.1 Threat Model and Attack Methodology -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 5 Differentially-Private PCA and MIA -- 5.1 Preliminaries on Differential Privacy -- 5.2 Differentially Private PCA Approaches -- 5.3 Experimental Results -- 6 Conclusion -- References -- When Machine Learning Models Leak: An Exploration of Synthetic Training Data -- 1 Introduction -- 2 Threat Model -- 3 Background and Related Work -- 3.1 Propensity to Move -- 3.2 Privacy in Machine Learning -- 3.3 Attribute Inference Attack -- 4 Experimental Setup -- 4.1 Data Set -- 4.2 Utility Measures -- 4.3 Adversary Resources -- 5 Experimental Results -- 5.1 Evaluation of Machine Learning Algorithms -- 5.2 Model Inversion Attribute Inference Attack -- 6 Conclusion and Future Work -- References -- Case Studies -- A Note on the Misinterpretation of the US Census Re-identification Attack -- 1 Introduction -- 2 The Bureau's Re-identification Attack -- 3 Our Simple Inference Non-attack.
3.1 Effect of Majority Race/Ethnicity Threshold.
Record Nr. UNINA-9910595049203321
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Privacy in statistical databases : International Conference, PSD 2022, Paris, France, September 21-23, 2022, proceedings / / Josep Domingo-Ferrer and Maryline Laurent, editors
Privacy in statistical databases : International Conference, PSD 2022, Paris, France, September 21-23, 2022, proceedings / / Josep Domingo-Ferrer and Maryline Laurent, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (375 pages)
Disciplina 005.8
Collana Lecture notes in computer science
Soggetto topico Data protection
Database security
Soggetto non controllato Mathematics
ISBN 3-031-13945-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Privacy Models -- An Optimization-Based Decomposition Heuristic for the Microaggregation Problem -- 1 Introduction -- 2 The Decomposition Heuristic -- 3 The Local Search Improvement Heuristic -- 4 The Mixed Integer Linear Optimization Algorithm Based on Column Generation -- 5 Computational Results -- 6 Conclusions -- References -- Privacy Analysis with a Distributed Transition System and a Data-Wise Metric -- 1 Introduction -- 2 Distributed Labeled-Tagged Transition Systems -- 3 -Indistinguishability, -Local-Differential Privacy -- 4 -Differential Privacy -- 5 Comparing Two Nodes on One or More Runs -- 6 New Metric for Indistinguishability and DP -- 7 Related Work and Conclusion -- References -- Multivariate Mean Comparison Under Differential Privacy -- 1 Introduction -- 2 Mathematical Background -- 2.1 Statistical Tests for Two Samples -- 2.2 Hotelling's t2-Test -- 2.3 Differential Privacy -- 3 Privatized Mean Comparison -- 3.1 Privatization of the t2-Statistic -- 3.2 Bootstrap -- 4 Simulation -- 5 Conclusion -- A Proofs -- B Effects of Privatization - Example -- C Algorithms -- References -- Asking the Proper Question: Adjusting Queries to Statistical Procedures Under Differential Privacy -- 1 Introduction -- 1.1 Setting -- 1.2 Our Contribution -- 1.3 Related Work -- 2 Fixed (Non-random) Datasets -- 2.1 Confidence Regions -- 2.2 Testing Hypotheses: Likelihood-Ratio Test -- 3 Random, Normally Distributed Data -- 3.1 Confidence Regions -- 3.2 Testing Hypotheses: Likelihood-Ratio Test -- 4 Numerical Example -- 5 Appendix -- References -- Towards Integrally Private Clustering: Overlapping Clusters for High Privacy Guarantees -- 1 Introduction -- 2 Preliminaries -- 2.1 Integral Privacy -- 2.2 k-Anonymity, Microaggregation, and MDAV -- 2.3 Genetic Algorithms -- 3 -Centroid c-Means.
3.1 Formalization -- 3.2 Properties -- 4 Experiments -- 4.1 Solving the Optimization Problem -- 4.2 Datasets -- 4.3 Parameters -- 4.4 Results -- 5 Conclusions -- References -- II Tabular Data -- Perspectives for Tabular Data Protection - How About Synthetic Data? -- 1 Introduction -- 2 Recalling the Methods under Consideration -- 2.1 Synthetic Data -- 2.2 Targeted Record Swapping (TRS) -- 2.3 CKM Noise Design for Tabulations of Continuous Variables -- 3 Study Design -- 3.1 Test Data -- 3.2 Application Settings for Synthetic Data Generation -- 3.3 Application Settings for Targeted Record Swapping -- 3.4 Application Settings for the Cell Key Method -- 4 Measuring Utility and Disclosure Risk -- 5 Results -- 5.1 Comparing Utility Loss -- 6 Summary, Open Issues, Conclusions -- Appendix -- A.1 Approximate Behavior of Utility Loss Indicator U for CKM in Extremely Detailed Tabulations -- Appendix A.2 -- Appendix A.3 -- References -- On Privacy of Multidimensional Data Against Aggregate Knowledge Attacks -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 3.1 Preliminaries -- 3.2 Problem Definition -- 4 Privacy-Preserving Method -- 4.1 Preprocessing Step -- 4.2 Space Allocation Step -- 4.3 View Creation Step -- 5 Experimental Evaluation -- 6 Discussion -- 7 Conclusion -- References -- Synthetic Decimal Numbers as a Flexible Tool for Suppression of Post-published Tabular Data -- 1 Introduction -- 2 A Motivating Example -- 3 A Theoretical Framework -- 4 Application of the Theory -- 4.1 Application to Frequency Tables -- 4.2 Precision and Implementation -- 4.3 Application to Magnitude Tables -- 4.4 Detection of Disclosure Risk -- 5 Real Applications -- 5.1 Register-Based Employment Statistics -- 5.2 Commissioned Data in Business Statistics -- 6 Concluding Remarks -- References -- Disclosure Risk Assessment and Record Linkage.
The Risk of Disclosure When Reporting Commonly Used Univariate Statistics -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion Example -- 5 Graphical Representation -- 6 Conclusion -- Appendix -- References -- Privacy-Preserving Protocols -- Tit-for-Tat Disclosure of a Binding Sequence of User Analyses in Safe Data Access Centers -- 1 Introduction -- 2 Background -- 3 Binding to a Sequence of Analyses with Tit-for-Tat Analysis Disclosure -- 3.1 Instruction Preparation -- 3.2 Hash-Based Coding and Execution -- 3.3 Security Properties -- 4 Using Binding Sequences of User Analyses to Ensure Ethical Compliance -- 4.1 Checking Confidentiality -- 4.2 Ex ante Checking of Explainability and Fairness -- 5 Conclusions and Further Research -- References -- Secure and Non-interactive k-NN Classifier Using Symmetric Fully Homomorphic Encryption -- 1 Introduction -- 2 Background -- 2.1 Homomorphic Encryption -- 2.2 Functional Bootstrap in TFHE -- 3 Our Contribution -- 3.1 The System Model -- 3.2 Encrypted k-NN Challenges -- 3.3 Our Proposed k-NN Algorithm -- 4 Performance Evaluation -- 4.1 Test Environment -- 4.2 Performance Results -- 5 Conclusion -- References -- Unstructured and Mobility Data -- Automatic Evaluation of Disclosure Risks of Text Anonymization Methods -- 1 Introduction -- 2 Background -- 3 A Re-identification Attack for Evaluating Anonymized Text -- 3.1 Building the Classifier -- 4 Empirical Experiments -- 4.1 Results -- 5 Conclusions and Future Work -- References -- Generation of Synthetic Trajectory Microdata from Language Models -- 1 Introduction -- 2 Related Work -- 2.1 Sequential Models for Trajectory Prediction -- 2.2 Privacy-Preserving Tajectory Data Publishing -- 3 Synthetic Trajectory Generation Method -- 3.1 Data Preprocessing -- 3.2 Next-Point Prediction Model -- 3.3 Synthetic Data Generation -- 4 Experimental Analysis.
4.1 Data Sets and Preprocessing -- 4.2 Model Training -- 4.3 Results of Data Generation -- 4.4 Additional Remarks on the Experimental Work -- 5 Conclusions and Future Work -- References -- Synthetic Data -- Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications -- 1 Introduction -- 2 Data Synthesis Methodology -- 2.1 Administrative Tax Data -- 2.2 Synthetic Data Generation -- 2.3 Disclosure Risk Measures -- 3 Evaluation -- 4 Conclusions and Future Work -- References -- On Integrating the Number of Synthetic Data Sets m into the a priori Synthesis Approach -- 1 Introduction -- 2 Review of the Use of Saturated Models for Synthesis -- 2.1 The Metrics -- 3 The Role of m as a Tuning Parameter -- 3.1 Obtaining Inferences from m> -- 1 Data Sets -- 4 Introducing the 3(k,d) and 4(k,d) Metrics -- 5 Empirical Study -- 5.1 Measuring Risk -- 5.2 Measuring Utility -- 5.3 Tuning m and in Relation to the Risk-Utility Trade-Off -- 6 Discussion -- References -- Challenges in Measuring Utility for Fully Synthetic Data -- 1 Introduction -- 2 Measuring the Utility -- 2.1 A Global Utility Measure: The pMSE -- 2.2 Two Outcome-Specific Measure: The Confidence Interval Overlap and the Mean Absolute Standardized Coefficient Difference -- 3 Misleading Utility Measures: An Illustration -- 3.1 Synthesis Strategies -- 3.2 Results for the Fit-for-Purpose Measures -- 3.3 Results for the Outcome Specific Measures -- 3.4 Results for the Global Utility Measures -- 4 Conclusions -- References -- Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata -- 1 Introduction -- 2 Background -- 2.1 Data Synthesis -- 2.2 Synthetic Census Microdata -- 3 Research Design -- 3.1 Data Synthesisers -- 3.2 Data -- 3.3 Measuring Disclosure Risk Using TCAP -- 3.4 Evaluating Utility -- 4 Results -- 5 Discussion -- 6 Conclusion -- References.
Utility and Disclosure Risk for Differentially Private Synthetic Categorical Data -- 1 Introduction -- 2 Methods for Creating Synthetic Data Sets -- 2.1 Without DP Guarantee -- 2.2 Adapting Methods for Synthetic Data to Make Them DP -- 3 Measures of Utility and Disclosure Risk for Synthetic Categorical Data -- 3.1 Disclosure Risk -- 3.2 Utility -- 4 Data Sets Used for the Evaluation -- 5 Results -- 5.1 Utility and Disclosure Risk for Non-DP Synthesis -- 5.2 Utility and Disclosure Risk for DP Synthesis -- 6 Discussion and Future Work -- A Appendix -- A.1 Details of the Variables in Data Sets -- References -- Machine Learning and Privacy -- Membership Inference Attack Against Principal Component Analysis -- 1 Introduction -- 2 Background -- 2.1 Principal Component Analysis -- 2.2 Membership Inference Attacks -- 3 Related Work -- 4 Membership Inference Attacks Against PCA -- 4.1 Threat Model and Attack Methodology -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 5 Differentially-Private PCA and MIA -- 5.1 Preliminaries on Differential Privacy -- 5.2 Differentially Private PCA Approaches -- 5.3 Experimental Results -- 6 Conclusion -- References -- When Machine Learning Models Leak: An Exploration of Synthetic Training Data -- 1 Introduction -- 2 Threat Model -- 3 Background and Related Work -- 3.1 Propensity to Move -- 3.2 Privacy in Machine Learning -- 3.3 Attribute Inference Attack -- 4 Experimental Setup -- 4.1 Data Set -- 4.2 Utility Measures -- 4.3 Adversary Resources -- 5 Experimental Results -- 5.1 Evaluation of Machine Learning Algorithms -- 5.2 Model Inversion Attribute Inference Attack -- 6 Conclusion and Future Work -- References -- Case Studies -- A Note on the Misinterpretation of the US Census Re-identification Attack -- 1 Introduction -- 2 The Bureau's Re-identification Attack -- 3 Our Simple Inference Non-attack.
3.1 Effect of Majority Race/Ethnicity Threshold.
Record Nr. UNISA-996490367603316
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui