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Handbook of digital forensics of multimedia data and devices / / Anthony T.S. Ho and Shujun Li
| Handbook of digital forensics of multimedia data and devices / / Anthony T.S. Ho and Shujun Li |
| Autore | Ho Anthony T. S. <1958-> |
| Pubbl/distr/stampa | Hoboken : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (701 p.) |
| Disciplina | 363.25/62 |
| Collana | Wiley - IEEE |
| Soggetto topico |
Criminal investigation - Technological innovations
Electronics in criminal investigation |
| ISBN |
1-118-70579-3
1-118-70577-7 1-118-70578-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
-- List of Contributors xvii -- Foreword xix -- Preface xxi -- Acknowledgements xxvii -- PART ONE MULTIMEDIA EVIDENCE HANDLING -- 1 Digital Forensics Laboratories in Operation: How Are Multimedia Data and Devices Handled? 3 -- 1.1 Introduction 3 -- 1.2 Digital and Electronics Forensic Service, Metropolitan Police Service, UK 4 -- 1.3 Digital Forensics Team (Including Affiliated AV Team), Surrey Police, UK 17 -- 1.4 Shanghai Stars Digital Forensic Centre, Third Research Institute of China's Ministry of Public Security 23 -- 1.5 Discussions 28 -- 1.6 Summary 32 -- 1.A Appendix: Questionnaires for Interviewing Surrey Police and Shanghai Stars Digital Forensic Centre 32 -- References 34 -- 2 Standards and Best Practices in Digital and Multimedia Forensics 38 -- 2.1 Introduction 38 -- 2.2 Overview 39 -- 2.3 Electronic Evidence and Digital Forensics 48 -- 2.4 Multimedia Evidence and Multimedia Forensics 70 -- 2.5 Digital Forensics Laboratory Accreditation 77 -- 2.6 General Quality Assurance (Management) 79 -- 2.7 Training, Education and Certification on Digital and Multimedia Forensics 81 -- 2.8 Conclusions 84 -- Acknowledgements 86 -- References 86 -- 3 A Machine Learning-Based Approach to Digital Triage 94 -- 3.1 Introduction 94 -- 3.2 Related Work on Digital Triage 96 -- 3.3 A Machine Learning-Based Digital Triage Framework 100 -- 3.4 A Child Pornography Exchange Case Study 110 -- 3.5 Conclusion 128 -- 3.6 Challenges and Future Directions for the Digital Forensics Community 128 -- Acknowledgements 130 -- References 130 -- 4 Forensic Authentication of Digital Audio and Video Files 133 -- 4.1 Introduction 133 -- 4.2 Examination Requests and Submitted Evidence 134 -- 4.3 Laboratory Space 138 -- 4.4 Laboratory Software and Equipment 138 -- 4.5 Audio/Video Authentication Examinations 147 -- 4.6 Preparation of Work Notes and Laboratory Reports 171 -- 4.7 Expert Testimony 172 -- 4.8 Case Examples 173 -- 4.9 Discussion 177 -- References 178 -- PART TWO DIGITAL EVIDENCE EXTRACTION.
5 Photogrammetry in Digital Forensics 185 -- 5.1 Introduction 185 -- 5.2 Different Methods 188 -- 5.3 Measurement Uncertainty 194 -- 5.4 Case Studies 195 -- 5.5 3D Modelling/Scenario Testing 212 -- 5.6 Summary 217 -- References 217 -- 6 Advanced Multimedia File Carving 219 -- 6.1 Introduction 219 -- 6.2 Digtal Data Storage 220 -- 6.3 File Carving of Binary Data 225 -- 6.4 Multimedia Data Structures 226 -- 6.5 File Carving of Multimedia Data 232 -- 6.6 Content Identification 241 -- 6.7 File Carving Frameworks 253 -- 6.8 Conclusions 264 -- Acknowledgements 265 -- References 265 -- 7 On Forensic Use of Biometrics 270 -- 7.1 Introduction 270 -- 7.2 Biometrics Performance Metrics 273 -- 7.3 Face: The Natural Means for Human Recognition 274 -- 7.4 Ears as a Means of Forensic Identification 283 -- 7.5 Conclusions 299 -- References 299 -- 8 Multimedia Analytics for Image Collection Forensics 305 -- 8.1 Introduction 305 -- 8.2 Data and Tasks 308 -- 8.3 Multimedia Analysis 309 -- 8.4 Visual Analytics Processes 312 -- 8.5 ChronoBrowser 313 -- 8.6 MediaTable 320 -- 8.7 An Example Scenario 323 -- 8.8 Future Outlook 325 -- References 326 -- PART THREE MULTIMEDIA DEVICE AND SOURCE FORENSICS -- 9 Forensic Camera Model Identification 331 -- 9.1 Introduction 331 -- 9.2 Forensic Source Identification 333 -- 9.3 Digital Camera Model Identification 337 -- 9.4 Benchmarking Camera Model Identification Algorithms 339 -- 9.5 Model-Specific Characteristics of Digital Camera Components 341 -- 9.6 Black Box Camera Model Identification 351 -- 9.7 Camera Model Identification in Open Sets 364 -- 9.8 Model-Specific Characteristics in Device-Level Identification 366 -- 9.9 Open Challenges Towards Practical Applications 368 -- References 370 -- 10 Printer and Scanner Forensics 375 -- 10.1 Introduction 375 -- 10.2 Printer Forensics 379 -- 10.3 Scanner Forensics 386 -- 10.4 Photocopier Identification 389 -- 10.5 Forgery Detection for Printed and Scanned Documents 391 -- 10.6 Sample Algorithms with Case Studies 396. 10.7 Open Problems and Challenges 406 -- 10.8 Conclusions 408 -- Acknowledgements 408 -- References 408 -- 11 Microphone Forensics 411 -- 11.1 Introduction 411 -- 11.2 Pattern Recognition for Microphone Forensics 414 -- 11.3 Guidelines for Microphone Registration 421 -- 11.4 Case Studies 423 -- 11.5 Chapter Summary 435 -- Acknowledgements 436 -- References 437 -- 12 Forensic Identification of Printed Documents 442 -- 12.1 Introduction 442 -- 12.2 Special Materials 449 -- 12.3 Substrate Forensics 450 -- 12.4 Print Forensics 455 -- 12.5 Real World Example: Currency Protection 473 -- 12.6 Summary and Ecosystem Considerations 475 -- References 478 -- PART FOUR MULTIMEDIA CONTENT FORENSICS -- 13 Digital Image Forensics with Statistical Analysis 483 -- 13.1 Introduction 483 -- 13.2 Detecting Region Duplication 488 -- 13.3 Exposing Splicing Forgery 500 -- 13.4 Case Studies 508 -- 13.5 Other Applications 512 -- 13.6 Summary 515 -- References 517 -- 14 Camera-Based Image Forgery Detection 522 -- 14.1 Introduction 522 -- 14.2 Camera Structure 524 -- 14.3 Camera-Based Forgery Detection Methods 535 -- 14.4 Forgery Detection Based on PFA: A Case Study 548 -- 14.5 Conclusion 564 -- References 565 -- 15 Image and Video Processing History Recovery 572 -- 15.1 Introduction 572 -- 15.2 Coding Artefacts 573 -- 15.3 Editing Artefacts 586 -- 15.4 Estimation of Processing Parameters 590 -- 15.5 Case Studies 601 -- 15.6 Conclusions 605 -- References 607 -- 16 Anti-Forensics of Multimedia Data and Countermeasures 612 -- 16.1 Introduction 612 -- 16.2 Anti-forensic Approaches Proposed in the Literature 613 -- 16.3 Case Study: JPEG Image Forensics 623 -- 16.4 Trade-off between Forensics and Anti-forensics 644 -- 16.5 Conclusions 647 -- References 647 -- Index 653. |
| Record Nr. | UNINA-9910131493803321 |
Ho Anthony T. S. <1958->
|
||
| Hoboken : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of digital forensics of multimedia data and devices / / Anthony T.S. Ho and Shujun Li
| Handbook of digital forensics of multimedia data and devices / / Anthony T.S. Ho and Shujun Li |
| Autore | Ho Anthony T. S. <1958-> |
| Pubbl/distr/stampa | Hoboken : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (701 p.) |
| Disciplina | 363.25/62 |
| Collana | Wiley - IEEE |
| Soggetto topico |
Criminal investigation - Technological innovations
Electronics in criminal investigation |
| ISBN |
1-118-70579-3
1-118-70577-7 1-118-70578-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
-- List of Contributors xvii -- Foreword xix -- Preface xxi -- Acknowledgements xxvii -- PART ONE MULTIMEDIA EVIDENCE HANDLING -- 1 Digital Forensics Laboratories in Operation: How Are Multimedia Data and Devices Handled? 3 -- 1.1 Introduction 3 -- 1.2 Digital and Electronics Forensic Service, Metropolitan Police Service, UK 4 -- 1.3 Digital Forensics Team (Including Affiliated AV Team), Surrey Police, UK 17 -- 1.4 Shanghai Stars Digital Forensic Centre, Third Research Institute of China's Ministry of Public Security 23 -- 1.5 Discussions 28 -- 1.6 Summary 32 -- 1.A Appendix: Questionnaires for Interviewing Surrey Police and Shanghai Stars Digital Forensic Centre 32 -- References 34 -- 2 Standards and Best Practices in Digital and Multimedia Forensics 38 -- 2.1 Introduction 38 -- 2.2 Overview 39 -- 2.3 Electronic Evidence and Digital Forensics 48 -- 2.4 Multimedia Evidence and Multimedia Forensics 70 -- 2.5 Digital Forensics Laboratory Accreditation 77 -- 2.6 General Quality Assurance (Management) 79 -- 2.7 Training, Education and Certification on Digital and Multimedia Forensics 81 -- 2.8 Conclusions 84 -- Acknowledgements 86 -- References 86 -- 3 A Machine Learning-Based Approach to Digital Triage 94 -- 3.1 Introduction 94 -- 3.2 Related Work on Digital Triage 96 -- 3.3 A Machine Learning-Based Digital Triage Framework 100 -- 3.4 A Child Pornography Exchange Case Study 110 -- 3.5 Conclusion 128 -- 3.6 Challenges and Future Directions for the Digital Forensics Community 128 -- Acknowledgements 130 -- References 130 -- 4 Forensic Authentication of Digital Audio and Video Files 133 -- 4.1 Introduction 133 -- 4.2 Examination Requests and Submitted Evidence 134 -- 4.3 Laboratory Space 138 -- 4.4 Laboratory Software and Equipment 138 -- 4.5 Audio/Video Authentication Examinations 147 -- 4.6 Preparation of Work Notes and Laboratory Reports 171 -- 4.7 Expert Testimony 172 -- 4.8 Case Examples 173 -- 4.9 Discussion 177 -- References 178 -- PART TWO DIGITAL EVIDENCE EXTRACTION.
5 Photogrammetry in Digital Forensics 185 -- 5.1 Introduction 185 -- 5.2 Different Methods 188 -- 5.3 Measurement Uncertainty 194 -- 5.4 Case Studies 195 -- 5.5 3D Modelling/Scenario Testing 212 -- 5.6 Summary 217 -- References 217 -- 6 Advanced Multimedia File Carving 219 -- 6.1 Introduction 219 -- 6.2 Digtal Data Storage 220 -- 6.3 File Carving of Binary Data 225 -- 6.4 Multimedia Data Structures 226 -- 6.5 File Carving of Multimedia Data 232 -- 6.6 Content Identification 241 -- 6.7 File Carving Frameworks 253 -- 6.8 Conclusions 264 -- Acknowledgements 265 -- References 265 -- 7 On Forensic Use of Biometrics 270 -- 7.1 Introduction 270 -- 7.2 Biometrics Performance Metrics 273 -- 7.3 Face: The Natural Means for Human Recognition 274 -- 7.4 Ears as a Means of Forensic Identification 283 -- 7.5 Conclusions 299 -- References 299 -- 8 Multimedia Analytics for Image Collection Forensics 305 -- 8.1 Introduction 305 -- 8.2 Data and Tasks 308 -- 8.3 Multimedia Analysis 309 -- 8.4 Visual Analytics Processes 312 -- 8.5 ChronoBrowser 313 -- 8.6 MediaTable 320 -- 8.7 An Example Scenario 323 -- 8.8 Future Outlook 325 -- References 326 -- PART THREE MULTIMEDIA DEVICE AND SOURCE FORENSICS -- 9 Forensic Camera Model Identification 331 -- 9.1 Introduction 331 -- 9.2 Forensic Source Identification 333 -- 9.3 Digital Camera Model Identification 337 -- 9.4 Benchmarking Camera Model Identification Algorithms 339 -- 9.5 Model-Specific Characteristics of Digital Camera Components 341 -- 9.6 Black Box Camera Model Identification 351 -- 9.7 Camera Model Identification in Open Sets 364 -- 9.8 Model-Specific Characteristics in Device-Level Identification 366 -- 9.9 Open Challenges Towards Practical Applications 368 -- References 370 -- 10 Printer and Scanner Forensics 375 -- 10.1 Introduction 375 -- 10.2 Printer Forensics 379 -- 10.3 Scanner Forensics 386 -- 10.4 Photocopier Identification 389 -- 10.5 Forgery Detection for Printed and Scanned Documents 391 -- 10.6 Sample Algorithms with Case Studies 396. 10.7 Open Problems and Challenges 406 -- 10.8 Conclusions 408 -- Acknowledgements 408 -- References 408 -- 11 Microphone Forensics 411 -- 11.1 Introduction 411 -- 11.2 Pattern Recognition for Microphone Forensics 414 -- 11.3 Guidelines for Microphone Registration 421 -- 11.4 Case Studies 423 -- 11.5 Chapter Summary 435 -- Acknowledgements 436 -- References 437 -- 12 Forensic Identification of Printed Documents 442 -- 12.1 Introduction 442 -- 12.2 Special Materials 449 -- 12.3 Substrate Forensics 450 -- 12.4 Print Forensics 455 -- 12.5 Real World Example: Currency Protection 473 -- 12.6 Summary and Ecosystem Considerations 475 -- References 478 -- PART FOUR MULTIMEDIA CONTENT FORENSICS -- 13 Digital Image Forensics with Statistical Analysis 483 -- 13.1 Introduction 483 -- 13.2 Detecting Region Duplication 488 -- 13.3 Exposing Splicing Forgery 500 -- 13.4 Case Studies 508 -- 13.5 Other Applications 512 -- 13.6 Summary 515 -- References 517 -- 14 Camera-Based Image Forgery Detection 522 -- 14.1 Introduction 522 -- 14.2 Camera Structure 524 -- 14.3 Camera-Based Forgery Detection Methods 535 -- 14.4 Forgery Detection Based on PFA: A Case Study 548 -- 14.5 Conclusion 564 -- References 565 -- 15 Image and Video Processing History Recovery 572 -- 15.1 Introduction 572 -- 15.2 Coding Artefacts 573 -- 15.3 Editing Artefacts 586 -- 15.4 Estimation of Processing Parameters 590 -- 15.5 Case Studies 601 -- 15.6 Conclusions 605 -- References 607 -- 16 Anti-Forensics of Multimedia Data and Countermeasures 612 -- 16.1 Introduction 612 -- 16.2 Anti-forensic Approaches Proposed in the Literature 613 -- 16.3 Case Study: JPEG Image Forensics 623 -- 16.4 Trade-off between Forensics and Anti-forensics 644 -- 16.5 Conclusions 647 -- References 647 -- Index 653. |
| Record Nr. | UNINA-9910818703403321 |
|
Ho Anthony T. S. <1958->
|
||
| Hoboken : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Security and Privacy in Social Networks and Big Data [[electronic resource] ] : 9th International Symposium, SocialSec 2023, Canterbury, UK, August 14–16, 2023, Proceedings / / edited by Budi Arief, Anna Monreale, Michael Sirivianos, Shujun Li
| Security and Privacy in Social Networks and Big Data [[electronic resource] ] : 9th International Symposium, SocialSec 2023, Canterbury, UK, August 14–16, 2023, Proceedings / / edited by Budi Arief, Anna Monreale, Michael Sirivianos, Shujun Li |
| Autore | Arief Budi |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (260 pages) |
| Disciplina | 005.8 |
| Altri autori (Persone) |
MonrealeAnna
SirivianosMichael LiShujun |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer networks - Security measures
Cryptography Data encryption (Computer science) Data protection Application software Computer networks Mobile and Network Security Cryptology Data and Information Security Computer and Information Systems Applications Computer Communication Networks |
| ISBN | 981-9951-77-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information Abuse and Political Discourse: People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation -- Extracting common features of fake news by Multi-Head-Attention -- Twitter Bots Influence on the Russo-Ukrainian War During the 2022 Italian General Elections -- Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter -- Attacks: Data Reconstruction Attack Against Principal Component Analysis -- The Impact of Synthetic Data on Membership Inference Attacks -- Time Is On My Side: Forward-Replay Attacks to TOTP Authentication -- Social Structure and Community: Cyber Security Researchers on Online Social Networks: From the Lens of the UK's ACEs-CSR on Twitter -- The Social and Technological Incentives for Cybercriminals to Engage in Ransomware Activities -- Security and Privacy Matters: Graph Analysis of Blockchain P2P Overlays and their Security Implications -- Secure and Efficient Data Processing for Cloud Computing with Fine-Grained Access Control -- Detection of Privacy-harming Social Media Posts in Italian -- Edge local Dierential Privacy for Dynamic Graphs -- Temporal Analysis of Privacy Enhancing Technology Trac using Deep Learning. |
| Record Nr. | UNISA-996546854803316 |
|
Arief Budi
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Security and Privacy in Social Networks and Big Data : 9th International Symposium, SocialSec 2023, Canterbury, UK, August 14–16, 2023, Proceedings / / edited by Budi Arief, Anna Monreale, Michael Sirivianos, Shujun Li
| Security and Privacy in Social Networks and Big Data : 9th International Symposium, SocialSec 2023, Canterbury, UK, August 14–16, 2023, Proceedings / / edited by Budi Arief, Anna Monreale, Michael Sirivianos, Shujun Li |
| Autore | Arief Budi |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (260 pages) |
| Disciplina | 005.8 |
| Altri autori (Persone) |
MonrealeAnna
SirivianosMichael LiShujun |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer networks - Security measures
Cryptography Data encryption (Computer science) Data protection Application software Computer networks Mobile and Network Security Cryptology Data and Information Security Computer and Information Systems Applications Computer Communication Networks |
| ISBN | 981-9951-77-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Information Abuse and Political Discourse: People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation -- Extracting common features of fake news by Multi-Head-Attention -- Twitter Bots Influence on the Russo-Ukrainian War During the 2022 Italian General Elections -- Did State-sponsored Trolls Shape the 2016 US Presidential Election Discourse? Quantifying Influence on Twitter -- Attacks: Data Reconstruction Attack Against Principal Component Analysis -- The Impact of Synthetic Data on Membership Inference Attacks -- Time Is On My Side: Forward-Replay Attacks to TOTP Authentication -- Social Structure and Community: Cyber Security Researchers on Online Social Networks: From the Lens of the UK's ACEs-CSR on Twitter -- The Social and Technological Incentives for Cybercriminals to Engage in Ransomware Activities -- Security and Privacy Matters: Graph Analysis of Blockchain P2P Overlays and their Security Implications -- Secure and Efficient Data Processing for Cloud Computing with Fine-Grained Access Control -- Detection of Privacy-harming Social Media Posts in Italian -- Edge local Dierential Privacy for Dynamic Graphs -- Temporal Analysis of Privacy Enhancing Technology Trac using Deep Learning. |
| Record Nr. | UNINA-9910736996103321 |
|
Arief Budi
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Seventh International Conference on Safety and Security with IoT [[electronic resource] ] : SaSeIoT 2023 / / edited by Kim Phuc Tran, Shujun Li, Cédric Heuchenne, Thu Huong Truong
| The Seventh International Conference on Safety and Security with IoT [[electronic resource] ] : SaSeIoT 2023 / / edited by Kim Phuc Tran, Shujun Li, Cédric Heuchenne, Thu Huong Truong |
| Autore | Tran Kim Phuc |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (155 pages) |
| Disciplina | 621.38 |
| Altri autori (Persone) |
LiShujun
HeuchenneCédric TruongThu Huong |
| Collana | EAI/Springer Innovations in Communication and Computing |
| Soggetto topico |
Cooperating objects (Computer systems)
Telecommunication Internet of things Cyber-Physical Systems Communications Engineering, Networks Internet of Things |
| ISBN | 3-031-53028-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- IoT Security Protocols and Architectures -- Threats, Risks, Vulnerability, and Countermeasures in IoT -- Lightweight Cryptography for IoT, Blockchain for IoT, Fog/Edge Computing for IoT -- Security and Privacy -- Privacy, Liability, and Legal Issues in IoT -- Artificial Intelligence of Things -- Real-Time Case Studies, Applications, Testbests, and Experimentation Platforms for IoT Security -- Towards a Low-Cost Intelligent IoT edge -- Machine learning/Embedded Machine Learning for IoT Applications -- Internet of Things and Embedded Machine Learning -- Conclusion. |
| Record Nr. | UNINA-9910845101303321 |
|
Tran Kim Phuc
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||