Data Exfiltration Threats and Prevention Techniques
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Data Exfiltration Threats and Prevention Techniques
Machine Learning and Memory-Based Data Security
Tari, Zahir; Sohrabi, Nasrin; Samadi, Yasaman; Suaboot, Jakapan
John Wiley & Sons Inc
05/2023
288
Dura
Inglês
9781119898870
15 a 20 dias
666
Descrição não disponível.
About the Authors xv
Acknowledgments xvii
Acronyms xix
Abstract xxi
1 Introduction 1
1.1 Data Exfiltration Methods 3
1.2 Important Questions 7
1.3 Book Scope 9
1.4 Book Summary 11
1.5 Book Structure 15
2 Background19
2.1 Hidden Markov Model 19
2.2 Memory Forensics 24
2.3 Bag-of-Words Model 27
2.4 Sparse Distributed Representation 28
2.5 Summary 29
3 Data Security Threats 31
3.1 Data Security 32
3.2 Security vs. Protection vs. Privacy 35
3.3 Advanced Persistent Threats Attacks 36
3.4 Cybersecurity Threats 38
3.5 Conclusion 59
4 Use Cases Data Leakage Attacks 63
4.1 Most Significant Attacks 63
4.2 Top Infection Vectors 68
4.3 Top Threats of Recent Years 70
4.4 Malware Development Trends 71
4.5 Geographic Trends 75
4.6 Industry Trends 78
4.7 Conclusion 80
5 Survey on Building Block Technologies 83
5.1 Motivation 83
5.2 Background 87
5.3 Taxonomy 96
5.4 Supervised Learning Methods 98
5.5 Systematic Literature Review 107
5.6 Evaluation of Supervised Learning Methods 108
5.7 Key Open Problems 125
5.8 Summary 127
6 Behavior-Based Data Exfiltration Detection Methods 141
6.1 Motivation 141
6.2 Existing Methods 144
6.3 Sub-Curve HMM Method 148
6.4 Evaluation 159
6.5 Experimental Results 164
6.6 Discussion 172
6.7 Summary 173
7 Memory-Based Data Exfiltration Detection Methods 181
7.1 Motivation 181
7.2 Existing Methods 183
7.3 Concepts 186
7.4 Fast Lookup Bag-of-Words (FBoW) 191
7.5 Evaluation 199
7.6 Summary 215
8 Temporal-Based Data Exfiltration Detection Methods 221
8.1 Motivation 221
8.2 Existing Methods 223
8.3 Definitions 225
8.4 Temporary Memory Bag-of-Words (TMBoW) 229
8.5 Experimental Results 234
8.6 Summary 245
9 Conclusion 249
9.1 Summary 249
9.2 What Is Innovative in the Described Methods? 251
9.3 What Is Next? 253
Index 255
Acknowledgments xvii
Acronyms xix
Abstract xxi
1 Introduction 1
1.1 Data Exfiltration Methods 3
1.2 Important Questions 7
1.3 Book Scope 9
1.4 Book Summary 11
1.5 Book Structure 15
2 Background19
2.1 Hidden Markov Model 19
2.2 Memory Forensics 24
2.3 Bag-of-Words Model 27
2.4 Sparse Distributed Representation 28
2.5 Summary 29
3 Data Security Threats 31
3.1 Data Security 32
3.2 Security vs. Protection vs. Privacy 35
3.3 Advanced Persistent Threats Attacks 36
3.4 Cybersecurity Threats 38
3.5 Conclusion 59
4 Use Cases Data Leakage Attacks 63
4.1 Most Significant Attacks 63
4.2 Top Infection Vectors 68
4.3 Top Threats of Recent Years 70
4.4 Malware Development Trends 71
4.5 Geographic Trends 75
4.6 Industry Trends 78
4.7 Conclusion 80
5 Survey on Building Block Technologies 83
5.1 Motivation 83
5.2 Background 87
5.3 Taxonomy 96
5.4 Supervised Learning Methods 98
5.5 Systematic Literature Review 107
5.6 Evaluation of Supervised Learning Methods 108
5.7 Key Open Problems 125
5.8 Summary 127
6 Behavior-Based Data Exfiltration Detection Methods 141
6.1 Motivation 141
6.2 Existing Methods 144
6.3 Sub-Curve HMM Method 148
6.4 Evaluation 159
6.5 Experimental Results 164
6.6 Discussion 172
6.7 Summary 173
7 Memory-Based Data Exfiltration Detection Methods 181
7.1 Motivation 181
7.2 Existing Methods 183
7.3 Concepts 186
7.4 Fast Lookup Bag-of-Words (FBoW) 191
7.5 Evaluation 199
7.6 Summary 215
8 Temporal-Based Data Exfiltration Detection Methods 221
8.1 Motivation 221
8.2 Existing Methods 223
8.3 Definitions 225
8.4 Temporary Memory Bag-of-Words (TMBoW) 229
8.5 Experimental Results 234
8.6 Summary 245
9 Conclusion 249
9.1 Summary 249
9.2 What Is Innovative in the Described Methods? 251
9.3 What Is Next? 253
Index 255
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data exfiltration; data breaches; data extrusion; data theft; data exportation; data leakage; data stealing; malware detection; intrusion detection system; IDS; malicious software; machine learning; ml; supervised machine learning
About the Authors xv
Acknowledgments xvii
Acronyms xix
Abstract xxi
1 Introduction 1
1.1 Data Exfiltration Methods 3
1.2 Important Questions 7
1.3 Book Scope 9
1.4 Book Summary 11
1.5 Book Structure 15
2 Background19
2.1 Hidden Markov Model 19
2.2 Memory Forensics 24
2.3 Bag-of-Words Model 27
2.4 Sparse Distributed Representation 28
2.5 Summary 29
3 Data Security Threats 31
3.1 Data Security 32
3.2 Security vs. Protection vs. Privacy 35
3.3 Advanced Persistent Threats Attacks 36
3.4 Cybersecurity Threats 38
3.5 Conclusion 59
4 Use Cases Data Leakage Attacks 63
4.1 Most Significant Attacks 63
4.2 Top Infection Vectors 68
4.3 Top Threats of Recent Years 70
4.4 Malware Development Trends 71
4.5 Geographic Trends 75
4.6 Industry Trends 78
4.7 Conclusion 80
5 Survey on Building Block Technologies 83
5.1 Motivation 83
5.2 Background 87
5.3 Taxonomy 96
5.4 Supervised Learning Methods 98
5.5 Systematic Literature Review 107
5.6 Evaluation of Supervised Learning Methods 108
5.7 Key Open Problems 125
5.8 Summary 127
6 Behavior-Based Data Exfiltration Detection Methods 141
6.1 Motivation 141
6.2 Existing Methods 144
6.3 Sub-Curve HMM Method 148
6.4 Evaluation 159
6.5 Experimental Results 164
6.6 Discussion 172
6.7 Summary 173
7 Memory-Based Data Exfiltration Detection Methods 181
7.1 Motivation 181
7.2 Existing Methods 183
7.3 Concepts 186
7.4 Fast Lookup Bag-of-Words (FBoW) 191
7.5 Evaluation 199
7.6 Summary 215
8 Temporal-Based Data Exfiltration Detection Methods 221
8.1 Motivation 221
8.2 Existing Methods 223
8.3 Definitions 225
8.4 Temporary Memory Bag-of-Words (TMBoW) 229
8.5 Experimental Results 234
8.6 Summary 245
9 Conclusion 249
9.1 Summary 249
9.2 What Is Innovative in the Described Methods? 251
9.3 What Is Next? 253
Index 255
Acknowledgments xvii
Acronyms xix
Abstract xxi
1 Introduction 1
1.1 Data Exfiltration Methods 3
1.2 Important Questions 7
1.3 Book Scope 9
1.4 Book Summary 11
1.5 Book Structure 15
2 Background19
2.1 Hidden Markov Model 19
2.2 Memory Forensics 24
2.3 Bag-of-Words Model 27
2.4 Sparse Distributed Representation 28
2.5 Summary 29
3 Data Security Threats 31
3.1 Data Security 32
3.2 Security vs. Protection vs. Privacy 35
3.3 Advanced Persistent Threats Attacks 36
3.4 Cybersecurity Threats 38
3.5 Conclusion 59
4 Use Cases Data Leakage Attacks 63
4.1 Most Significant Attacks 63
4.2 Top Infection Vectors 68
4.3 Top Threats of Recent Years 70
4.4 Malware Development Trends 71
4.5 Geographic Trends 75
4.6 Industry Trends 78
4.7 Conclusion 80
5 Survey on Building Block Technologies 83
5.1 Motivation 83
5.2 Background 87
5.3 Taxonomy 96
5.4 Supervised Learning Methods 98
5.5 Systematic Literature Review 107
5.6 Evaluation of Supervised Learning Methods 108
5.7 Key Open Problems 125
5.8 Summary 127
6 Behavior-Based Data Exfiltration Detection Methods 141
6.1 Motivation 141
6.2 Existing Methods 144
6.3 Sub-Curve HMM Method 148
6.4 Evaluation 159
6.5 Experimental Results 164
6.6 Discussion 172
6.7 Summary 173
7 Memory-Based Data Exfiltration Detection Methods 181
7.1 Motivation 181
7.2 Existing Methods 183
7.3 Concepts 186
7.4 Fast Lookup Bag-of-Words (FBoW) 191
7.5 Evaluation 199
7.6 Summary 215
8 Temporal-Based Data Exfiltration Detection Methods 221
8.1 Motivation 221
8.2 Existing Methods 223
8.3 Definitions 225
8.4 Temporary Memory Bag-of-Words (TMBoW) 229
8.5 Experimental Results 234
8.6 Summary 245
9 Conclusion 249
9.1 Summary 249
9.2 What Is Innovative in the Described Methods? 251
9.3 What Is Next? 253
Index 255
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
