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Advances in Digital Forensics XVII : 17th IFIP WG 11.9 International Conference, Virtual Event, February 1–2, 2021, Revised Selected Papers / / edited by Gilbert Peterson, Sujeet Shenoi
| Advances in Digital Forensics XVII : 17th IFIP WG 11.9 International Conference, Virtual Event, February 1–2, 2021, Revised Selected Papers / / edited by Gilbert Peterson, Sujeet Shenoi |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 005.8 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Data protection
Machine learning Computer engineering Computer networks Computers - Law and legislation Information technology - Law and legislation Data and Information Security Machine Learning Computer Engineering and Networks Computer Communication Networks Legal Aspects of Computing Medicina legal Xifratge (Informàtica) Seguretat informàtica Programari d'aplicació Cibercultura |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-88381-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Contributing Authors -- Preface -- I THEMES AND ISSUES -- Chapter 1 DIGITAL FORENSIC ACQUISITION KILL CHAIN - ANALYSIS AND DEMONSTRATION -- 1. Introduction -- 2. Related Work -- 3. Digital Forensic Acquisition Kill Chain -- 3.1 Background -- 3.2 Kill Chain Overview -- 3.3 Kill Chain Phases -- 4. Case-Motivated Kill Chain Example -- 5. Conclusions -- Acknowledgement -- References -- Chapter 2 ENHANCING INDUSTRIAL CONTROL SYSTEM FORENSICS USING REPLICATION-BASED DIGITAL TWINS -- 1. Introduction -- 2. Background -- 2.1 Digital Twin -- 2.2 Digital Twin Security -- 2.3 Digital Forensics -- 3. Related Work -- 4. Replication Using Digital Twins -- 4.1 Replication and Replay Theorems -- 4.2 Conceptual Framework -- 5. Implementation and Evaluation -- 5.1 Implementation and Experimental Setup -- 5.2 Results and Evaluation -- 6. Discussion -- 7. Conclusions -- Acknowledgement -- References -- Chapter 3 COMPARISON OF CYBER ATTACKS ON SERVICES IN THE CLEARNET AND DARKNET -- 1. Introduction -- 2. Background -- 3. Common Targets and Attacks -- 4. Related Work -- 5. Honeypot Deployment -- 5.1 Security Considerations -- 5.2 Deployment Process -- 6. Implementation Details -- 6.1 Virtual Machine Architectures -- 6.2 Honeypot Services -- 7. Experiments and Results -- 7.1 Service Deployments -- 7.2 Announcements -- 7.3 Observed Web Requests -- 7.4 Observed SSH and Telnet Access -- 7.5 Observed SMTP Requests -- 7.6 Observed FTP Requests -- 7.7 Discussion -- 8. Conclusions -- Acknowledgement -- References -- II APPROXIMATE MATCHING TECHNIQUES -- Chapter 4 USING PARALLEL DISTRIBUTED PROCESSING TO REDUCE THE COMPUTATIONAL TIME OF DIGITAL MEDIA SIMILARITY MEASURES -- 1. Introduction -- 2. Previous Work -- 3. Jaccard Indexes of Similarity -- 3.1 Jaccard Index -- 3.2 Jaccard Index with Normalized Frequency -- 4. Jaccard Index with Split Files.
5. Results and Validation -- 6. Conclusions -- References -- Chapter 5 EVALUATION OF NETWORK TRAFFIC ANALYSIS USING APPROXIMATE MATCHING ALGORITHMS -- 1. Introduction -- 2. Foundations and Related Work -- 2.1 Current State of Approximate Matching -- 2.2 Approximate Matching Algorithms -- 3. Controlled Study -- 3.1 All vs. All Evaluation -- 3.2 Evaluation Methodology -- 4. Experimental Results and Optimizations -- 5. Conclusions -- Acknowledgement -- References -- III ADVANCED FORENSIC TECHNIQUES -- Chapter 6 LEVERAGING USB POWER DELIVERY IMPLEMENTATIONS FOR DIGITAL FORENSIC ACQUISITION -- 1. Introduction -- 2. USB Power Delivery Protocol -- 3. Research Methodology -- 4. Results -- 4.1 Information Gathering -- 4.2 Passive Monitoring -- 4.3 Firmware Files -- 4.4 Firmware Reverse Engineering -- 4.5 Apple Vendor-Defined Protocol -- 4.6 Firmware Modification and Rollback -- 5. Conclusions -- Acknowledgements -- References -- Chapter 7 DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING -- 1. Introduction -- 2. Background and Related Work -- 2.1 PDF Document Structure -- 2.2 Document Entropy -- 2.3 Malicious PDF Document Detection -- 3. Malicious PDF Document Detection Method -- 3.1 Structural Features -- 3.2 Entropy-Based Statistical Features -- 3.3 Classification -- 4. Experiments and Results. -- 4.1 Dataset Creation and Experimental Setup -- 4.2 Evaluation Metrics -- 4.3 Feature Set Analysis -- 4.4 Classifier Analysis -- 4.5 Detection Method Comparison -- 5. Conclusions -- Acknowledgement -- References -- Chapter 8 MALICIOUS LOGIN DETECTION USING LONG SHORT-TERM MEMORY WITH AN ATTENTION MECHANISM -- 1. Introduction -- 2. Related Work -- 3. Preliminaries -- 3.1 Detection Method Overview -- 3.2 Threat Model -- 4. Proposed Method -- 4.1 Host Vector Learning -- 4.2 Feature Extraction -- 4.3 Attention Mechanism. 4.4 Classification Model Optimization -- 5. Experimental Evaluation -- 5.1 Dataset Description -- 5.2 Experimental Setup -- 5.3 Evaluated Models -- 5.4 Evaluation Results -- 5.5 Optimization and Learning Rate -- 6. Conclusions -- References -- IV NOVEL APPLICATIONS -- Chapter 9 PREDICTING THE LOCATIONS OF UNREST USING SOCIAL MEDIA -- 1. Introduction -- 2. Related Work -- 3. Location Extraction from Web Forum Data -- 3.1 Web Forum Dataset -- 3.2 Dictionary-Based Semi-Supervised Learning -- 3.3 BiLSTM-CRF Model -- 3.4 n-Gram-ARM Algorithm -- 4. Experiments and Results -- 5. Conclusions -- References -- Chapter 10 EXTRACTING THREAT INTELLIGENCE RELATIONS USING DISTANT SUPERVISION AND NEURAL NETWORKS -- 1. Introduction -- 2. Related Work -- 2.1 Threat Intelligence Datasets -- 2.2 Threat Intelligence Information Extraction -- 3. Proposed Framework -- 3.1 Overview -- 3.2 Problem Specification -- 3.3 Dataset -- 3.4 Neural Network Model -- 4. Experiments and Results -- 4.1 Experiment Details -- 4.2 Comparison with Baseline Models -- 4.3 Extraction Results -- 5. Conclusions -- Acknowledgement -- References -- Chapter 11 SECURITY AUDITING OF INTERNET OF THINGS DEVICES IN A SMART HOME -- 1. Introduction -- 2. Preliminaries -- 2.1 Security Standards and Best Practices -- 2.2 Security Auditing Challenges -- 2.3 Threat Model -- 3. Security Auditing Methodology -- 3.1 Step 1: Build a Knowledge Base -- 3.2 Step 2: Translate to Security Rules -- 3.3 Step 3: Audit IoT Device Security -- 4. Auditing Smart Home Security -- 4.1 Security Rule Definition -- 4.2 Data Collection -- 4.3 Formal Language Translation -- 4.4 Verification -- 4.5 Evidence Extraction -- 5. Security Auditing Framework -- 6. Experiments and Results -- 6.1 Experimental Setup -- 6.2 Experimental Results -- 7. Discussion -- 8. Related Work -- 9. Conclusions -- References -- V IMAGE FORENSICS. Chapter 12 INDIAN CURRENCY DATABASE FOR FORENSIC RESEARCH -- 1. Introduction -- 2. Related Work -- 3. Indian Currency Security Features -- 4. Indian Currency Database -- 4.1 Sample Collection -- 4.2 Security Feature Identification -- 4.3 Database Creation -- 5. Conclusions -- References -- Chapter 13 SECURITY AND PRIVACY ISSUES RELATED TO QUICK RESPONSE CODES -- 1. Introduction -- 2. QR Code Structure -- 3. QR Code Evolution -- 4. Key Issues -- 4.1 Authentication with QR Codes -- 4.2 Attacks Using QR Codes -- 4.3 Security and Privacy of QR Codes -- 5. Innovative Applications -- 5.1 Self-Authenticating Documents -- 5.2 Color QR Codes -- 5.3 Anti-Counterfeiting QR Codes -- 6. Conclusions -- References. |
| Record Nr. | UNINA-9910502594403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Digital Forensics XVII : 17th IFIP WG 11.9 International Conference, Virtual Event, February 1–2, 2021, Revised Selected Papers / / edited by Gilbert Peterson, Sujeet Shenoi
| Advances in Digital Forensics XVII : 17th IFIP WG 11.9 International Conference, Virtual Event, February 1–2, 2021, Revised Selected Papers / / edited by Gilbert Peterson, Sujeet Shenoi |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (268 pages) |
| Disciplina | 005.8 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Data protection
Machine learning Computer engineering Computer networks Computers - Law and legislation Information technology - Law and legislation Data and Information Security Machine Learning Computer Engineering and Networks Computer Communication Networks Legal Aspects of Computing Medicina legal Xifratge (Informàtica) Seguretat informàtica Programari d'aplicació Cibercultura |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-88381-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- Contributing Authors -- Preface -- I THEMES AND ISSUES -- Chapter 1 DIGITAL FORENSIC ACQUISITION KILL CHAIN - ANALYSIS AND DEMONSTRATION -- 1. Introduction -- 2. Related Work -- 3. Digital Forensic Acquisition Kill Chain -- 3.1 Background -- 3.2 Kill Chain Overview -- 3.3 Kill Chain Phases -- 4. Case-Motivated Kill Chain Example -- 5. Conclusions -- Acknowledgement -- References -- Chapter 2 ENHANCING INDUSTRIAL CONTROL SYSTEM FORENSICS USING REPLICATION-BASED DIGITAL TWINS -- 1. Introduction -- 2. Background -- 2.1 Digital Twin -- 2.2 Digital Twin Security -- 2.3 Digital Forensics -- 3. Related Work -- 4. Replication Using Digital Twins -- 4.1 Replication and Replay Theorems -- 4.2 Conceptual Framework -- 5. Implementation and Evaluation -- 5.1 Implementation and Experimental Setup -- 5.2 Results and Evaluation -- 6. Discussion -- 7. Conclusions -- Acknowledgement -- References -- Chapter 3 COMPARISON OF CYBER ATTACKS ON SERVICES IN THE CLEARNET AND DARKNET -- 1. Introduction -- 2. Background -- 3. Common Targets and Attacks -- 4. Related Work -- 5. Honeypot Deployment -- 5.1 Security Considerations -- 5.2 Deployment Process -- 6. Implementation Details -- 6.1 Virtual Machine Architectures -- 6.2 Honeypot Services -- 7. Experiments and Results -- 7.1 Service Deployments -- 7.2 Announcements -- 7.3 Observed Web Requests -- 7.4 Observed SSH and Telnet Access -- 7.5 Observed SMTP Requests -- 7.6 Observed FTP Requests -- 7.7 Discussion -- 8. Conclusions -- Acknowledgement -- References -- II APPROXIMATE MATCHING TECHNIQUES -- Chapter 4 USING PARALLEL DISTRIBUTED PROCESSING TO REDUCE THE COMPUTATIONAL TIME OF DIGITAL MEDIA SIMILARITY MEASURES -- 1. Introduction -- 2. Previous Work -- 3. Jaccard Indexes of Similarity -- 3.1 Jaccard Index -- 3.2 Jaccard Index with Normalized Frequency -- 4. Jaccard Index with Split Files.
5. Results and Validation -- 6. Conclusions -- References -- Chapter 5 EVALUATION OF NETWORK TRAFFIC ANALYSIS USING APPROXIMATE MATCHING ALGORITHMS -- 1. Introduction -- 2. Foundations and Related Work -- 2.1 Current State of Approximate Matching -- 2.2 Approximate Matching Algorithms -- 3. Controlled Study -- 3.1 All vs. All Evaluation -- 3.2 Evaluation Methodology -- 4. Experimental Results and Optimizations -- 5. Conclusions -- Acknowledgement -- References -- III ADVANCED FORENSIC TECHNIQUES -- Chapter 6 LEVERAGING USB POWER DELIVERY IMPLEMENTATIONS FOR DIGITAL FORENSIC ACQUISITION -- 1. Introduction -- 2. USB Power Delivery Protocol -- 3. Research Methodology -- 4. Results -- 4.1 Information Gathering -- 4.2 Passive Monitoring -- 4.3 Firmware Files -- 4.4 Firmware Reverse Engineering -- 4.5 Apple Vendor-Defined Protocol -- 4.6 Firmware Modification and Rollback -- 5. Conclusions -- Acknowledgements -- References -- Chapter 7 DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING -- 1. Introduction -- 2. Background and Related Work -- 2.1 PDF Document Structure -- 2.2 Document Entropy -- 2.3 Malicious PDF Document Detection -- 3. Malicious PDF Document Detection Method -- 3.1 Structural Features -- 3.2 Entropy-Based Statistical Features -- 3.3 Classification -- 4. Experiments and Results. -- 4.1 Dataset Creation and Experimental Setup -- 4.2 Evaluation Metrics -- 4.3 Feature Set Analysis -- 4.4 Classifier Analysis -- 4.5 Detection Method Comparison -- 5. Conclusions -- Acknowledgement -- References -- Chapter 8 MALICIOUS LOGIN DETECTION USING LONG SHORT-TERM MEMORY WITH AN ATTENTION MECHANISM -- 1. Introduction -- 2. Related Work -- 3. Preliminaries -- 3.1 Detection Method Overview -- 3.2 Threat Model -- 4. Proposed Method -- 4.1 Host Vector Learning -- 4.2 Feature Extraction -- 4.3 Attention Mechanism. 4.4 Classification Model Optimization -- 5. Experimental Evaluation -- 5.1 Dataset Description -- 5.2 Experimental Setup -- 5.3 Evaluated Models -- 5.4 Evaluation Results -- 5.5 Optimization and Learning Rate -- 6. Conclusions -- References -- IV NOVEL APPLICATIONS -- Chapter 9 PREDICTING THE LOCATIONS OF UNREST USING SOCIAL MEDIA -- 1. Introduction -- 2. Related Work -- 3. Location Extraction from Web Forum Data -- 3.1 Web Forum Dataset -- 3.2 Dictionary-Based Semi-Supervised Learning -- 3.3 BiLSTM-CRF Model -- 3.4 n-Gram-ARM Algorithm -- 4. Experiments and Results -- 5. Conclusions -- References -- Chapter 10 EXTRACTING THREAT INTELLIGENCE RELATIONS USING DISTANT SUPERVISION AND NEURAL NETWORKS -- 1. Introduction -- 2. Related Work -- 2.1 Threat Intelligence Datasets -- 2.2 Threat Intelligence Information Extraction -- 3. Proposed Framework -- 3.1 Overview -- 3.2 Problem Specification -- 3.3 Dataset -- 3.4 Neural Network Model -- 4. Experiments and Results -- 4.1 Experiment Details -- 4.2 Comparison with Baseline Models -- 4.3 Extraction Results -- 5. Conclusions -- Acknowledgement -- References -- Chapter 11 SECURITY AUDITING OF INTERNET OF THINGS DEVICES IN A SMART HOME -- 1. Introduction -- 2. Preliminaries -- 2.1 Security Standards and Best Practices -- 2.2 Security Auditing Challenges -- 2.3 Threat Model -- 3. Security Auditing Methodology -- 3.1 Step 1: Build a Knowledge Base -- 3.2 Step 2: Translate to Security Rules -- 3.3 Step 3: Audit IoT Device Security -- 4. Auditing Smart Home Security -- 4.1 Security Rule Definition -- 4.2 Data Collection -- 4.3 Formal Language Translation -- 4.4 Verification -- 4.5 Evidence Extraction -- 5. Security Auditing Framework -- 6. Experiments and Results -- 6.1 Experimental Setup -- 6.2 Experimental Results -- 7. Discussion -- 8. Related Work -- 9. Conclusions -- References -- V IMAGE FORENSICS. Chapter 12 INDIAN CURRENCY DATABASE FOR FORENSIC RESEARCH -- 1. Introduction -- 2. Related Work -- 3. Indian Currency Security Features -- 4. Indian Currency Database -- 4.1 Sample Collection -- 4.2 Security Feature Identification -- 4.3 Database Creation -- 5. Conclusions -- References -- Chapter 13 SECURITY AND PRIVACY ISSUES RELATED TO QUICK RESPONSE CODES -- 1. Introduction -- 2. QR Code Structure -- 3. QR Code Evolution -- 4. Key Issues -- 4.1 Authentication with QR Codes -- 4.2 Attacks Using QR Codes -- 4.3 Security and Privacy of QR Codes -- 5. Innovative Applications -- 5.1 Self-Authenticating Documents -- 5.2 Color QR Codes -- 5.3 Anti-Counterfeiting QR Codes -- 6. Conclusions -- References. |
| Record Nr. | UNISA-996464525303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Cryptography for secure encryption / / Robert G. Underwood
| Cryptography for secure encryption / / Robert G. Underwood |
| Autore | Underwood Robert G (Robert Gene) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (324 pages) |
| Disciplina | 005.8 |
| Collana | Universitext |
| Soggetto topico |
Cryptography
Data encryption (Computer science) Xifratge (Informàtica) Criptografia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030979027
9783030979010 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996479372103316 |
Underwood Robert G (Robert Gene)
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Cryptography for secure encryption / / Robert G. Underwood
| Cryptography for secure encryption / / Robert G. Underwood |
| Autore | Underwood Robert G (Robert Gene) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (324 pages) |
| Disciplina | 005.8 |
| Collana | Universitext |
| Soggetto topico |
Cryptography
Data encryption (Computer science) Xifratge (Informàtica) Criptografia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030979027
9783030979010 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910574091803321 |
|
Underwood Robert G (Robert Gene)
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Diffusion in social networks / / by Paulo Shakarian, Abhivav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo
| Diffusion in social networks / / by Paulo Shakarian, Abhivav Bhatnagar, Ashkan Aleali, Elham Shaabani, Ruocheng Guo |
| Autore | Shakarian Paulo |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , [2015] |
| Descrizione fisica | 1 online resource (110 p.) |
| Disciplina | 519.233 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Intel·ligència artificial
Xifratge (Informàtica) Xarxes socials en línia Artificial intelligence Data encryption (Computer science) Artificial Intelligence Cryptology |
| ISBN | 3-319-23105-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- The SIR Model and Identification of Spreaders -- The Tipping Model and the Minimum Seed Problem -- The Independent Cascade and Linear Threshold Models -- Logic Programming Based Diffusion Models -- Evolutionary Graph Theory -- Examining Diffusion in the Real World -- Conclusion. |
| Record Nr. | UNINA-9910299202103321 |
|
Shakarian Paulo
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , [2015] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Protecting privacy through homomorphic encryption / / edited by Kristin Lauter, Wei Dai, and Kim Laine
| Protecting privacy through homomorphic encryption / / edited by Kristin Lauter, Wei Dai, and Kim Laine |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (183 pages) : illustrations |
| Disciplina | 005.824 |
| Soggetto topico |
Data protection - Law and legislation
Computer science - Mathematics Xifratge (Informàtica) Protecció de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-77287-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910520078903321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Protecting privacy through homomorphic encryption / / edited by Kristin Lauter, Wei Dai, and Kim Laine
| Protecting privacy through homomorphic encryption / / edited by Kristin Lauter, Wei Dai, and Kim Laine |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (183 pages) : illustrations |
| Disciplina | 005.824 |
| Soggetto topico |
Data protection - Law and legislation
Computer science - Mathematics Xifratge (Informàtica) Protecció de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-77287-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466547203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
