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Securing the Digital Frontier
Threats and Advanced Techniques in Security and Forensics
Kavita Sharma (Edited by), K Sharma (Author), Vishnu Sharma (Edited by), Parma Nand (Edited by), Anil Kumar Sagar (Edited by), Gulshan Shrivastava (Edited by)
9781394268887, Wiley
Hardback, published 1 June 2025
416 pages
22.9 x 15.2 x 2.6 cm, 0.657 kg
Secure your understanding of vital security and forensic strategies by purchasing Securing the Digital Frontier: Threats and Advanced Techniques in Security and Forensics, a definitive guide that empowers you to protect sensitive information and tackle cyber threats with insights from leading experts and real-world case studies. In the field of security and forensics, it’s crucial to implement strong security measures to protect sensitive data and effectively respond to cyber incidents. Digital forensics is vital for analyzing cyber threats, where experts use advanced techniques to scrutinize digital artifacts, system logs, and network traffic. This approach helps reconstruct incidents, pinpoint vulnerabilities, and support legal actions, ensuring the confidentiality, integrity, and availability of crucial data in our rapidly evolving digital world. This book provides an in-depth look at security and forensics, pooling knowledge from top experts across various cybersecurity domains. It focuses on real-world applications and case studies, offering valuable insights for protecting information and responding to digital crimes. Designed for cybersecurity professionals, digital forensics investigators, legal teams, and academics, this comprehensive guide is a key resource for anyone looking to deepen their understanding of modern digital forensics and cybersecurity challenges.
Preface xix 1 Pegasus—A Menace to Privacy and Security 1 1.1 Introduction 1 1.2 Working of Pegasus 4 1.3 Literature Review 10 1.4 Methodologies 12 1.5 Pegasus Implantation Techniques 12 1.6 Mitigation Measures 13 1.7 Conclusion 14 2 Data Privacy and Compliance in Information Security 17 2.1 Introduction 18 2.2 Discussion on Risks, Consequences, and Security Measures for Data Privacy 19 2.3 Data Privacy and Compliance in Information Security: The Changing Nature 28 2.4 Continuous Learning and Adaptation: Keeping Pace with Emerging Technologies and Regulations 31 2.5 Conclusion 32 3 Unveiling Cyber Threats and Digital Forensics 35 3.1 Information Security 36 3.2 Cyberattacks 39 3.3 Protection Techniques 44 3.4 Internet of Medical Things 53 3.5 Conclusion 54 4 A Customised Privacy Preservation Mechanism for Cyber-Physical Systems 59 4.1 Introduction 59 4.2 Background 64 4.3 Motivation 73 4.4 Proposed Mechanism 76 4.5 Experimental Results 81 4.6 Future Directions 84 4.7 Conclusion 88 5 Securing the Future: Emerging Threats and Countermeasures in Cryptography 91 5.1 Introduction 92 5.2 Quantum Computing and Post-Quantum Cryptography 92 5.3 Cryptanalysis: Cracking the Code 93 5.4 Side-Channel Attacks: Stealthy and Insidious 95 5.5 Fault Attacks: Exploiting Implementation Weaknesses 96 5.6 Hardware Security Modules (HSMS) 97 5.7 Secure Implementations: From Theory to Reality 99 5.8 A Holistic Approach to Cryptography 99 5.9 Quantum Key Distribution (QKD) 100 5.10 Internet of Things in Cryptography 102 5.11 Artificial Intelligence in Cryptography 103 5.12 Cryptarithmetic 104 5.13 The Road Ahead: Future Trends and Prospects 105 5.14 Conclusion 106 6 Cyber Threats and Its Impact on Electronic Transactions 109 6.1 Introduction 109 6.2 Digital Transformation and Cybersecurity 111 6.3 Evolution of Cyber Threats 112 6.4 Emerging Cyber Threats 115 6.5 Impacts of Data Breaches in the Financial Sector 121 6.6 Cybersecurity Standards, Frameworks, and Benchmarks 124 6.7 Innovative Approaches to Cyber-Incident Management 127 6.8 Conclusion 129 7 A Robust Model for Enabling Insider Threat Detection and Prevention: Techniques, Tools, and Applications 133 7.1 Introduction 134 7.2 Structure 135 7.3 Impact of Insider Threats on Modern Organizations 137 7.5 Challenges in Insider Threat Detection 142 7.6 Techniques for Insider Threat Detection 144 7.7 Robust Model 146 7.8 Application and Case Studies 156 7.9 Other Important Insider Threat Prevention Strategies 158 7.10 Ethical Considerations 160 7.11 Future Trends 163 7.12 Conclusion 165 8 Digital Vulnerabilities Unveiled: A Multidisciplinary Exploration of Emerging Threats to Security and Privacy in the Age of Networked Communication 169 8.1 Introduction 170 8.2 Theoretical Foundation 172 8.3 Methodological Framework 174 8.4 Emergent Themes 176 8.5 Interdisciplinary Insights 178 8.6 Pedagogical Implications 179 8.7 Findings and Discussion 181 8.8 Integration and Synthesis 185 8.9 Conclusion 187 9 Tools of Emancipation as Global Web and its Digital Ecosystem: Steering IoT Landscape, Cloud Computing Unravel Safe Spaces Lensing New Cyber Risks and Emerging Threats 197 9.1 Introduction 198 9.2 Tools of Emancipation on the World Wide Web: Conceptual Framework and Definition 202 9.3 IoT Landscape and Its Overview: Opportunities and Challenges 203 9.4 Cloud Computing: Pillar for Safe Spaces Protection 204 9.5 Cyber Risks and Emerging Threats—Current Landscape of Cyber Threats 206 9.6 Tools of Emancipation: Digital Tools for Positive Purposes and Potential for Using Technology 207 9.7 Assimilating Tools of Emancipation, Cloud Computing, and IoT 208 9.8 Embryonic Updated Technologies and Future Tendencies 209 9.9 New Cyber Risks and Emerging Threats 210 9.10 Conclusion and Future Scope 212 10 IoT and Smart Device Security: Emerging Threats and Countermeasures 217 10.1 Introduction to IoT and Smart Devices 217 10.2 Vulnerabilities in IoT Devices 223 10.3 Emerging Threats in IoT Security 226 10.4 Attack Vectors in IoT 228 10.5 Countermeasures for IoT Security 230 10.6 Case Studies in IoT Security 232 10.7 Future Trends and Challenges in IoT Security 236 10.8 Conclusion 238 11 Secured IoT with LWC and Blockchain 243 11.1 Introduction 244 11.2 Applications of IoT 251 11.3 Different Security Attacks on IoT Layers 254 11.4 Solution to IoT Security Attacks 259 11.5 Conclusion 265 12 Social Engineering Attacks: Detection and Prevention 269 12.1 Introduction 269 12.2 Life Cycle of Social Engineering 272 12.3 Types of Social Engineering 274 12.4 Social Engineering Attacks Using Advanced Techniques 277 12.5 Social Engineering Attack Detection Models 278 12.6 Detection of Social Engineering Links 281 12.7 Preventive Approaches 282 12.8 Preventive Measures Against Social Engineering Attacks 285 12.9 Conclusion 286 13 Multilayer Perceptron of Occlusion and Pose-Sensitive Ear Attributes for Social Engineering Attack Mitigation 291 13.1 Introduction 292 13.2 Literature Review 295 13.3 Materials and Methods 299 13.4 Result and Discussion 305 13.5 Conclusion 311 14 Study and Analysis of Cyberbullying Message Detection and Prevention Using Machine Learning Techniques 315 14.1 Introduction 316 14.2 Literature Survey 318 14.3 Implementation of Cyberbullying Model 320 14.4 Evaluation and Comparison of Machine Learning Techniques for Cyber Bullying 325 14.5 Conclusion 329 15 Future Directions in Digital Forensics and Cybersecurity 333 15.1 Overview of Digital Forensics and Cyber Forensics 333 15.2 Introduction 335 15.3 Technologies and Their Impact 337 15.4 Impact of Emerging Technologies on Digital Forensics and Cybersecurity 338 15.5 Cybersecurity and Digital Forensics: Threats and Opportunities 342 15.6 Future of Digital Forensics 346 15.7 The Future of Cybersecurity 350 15.8 Collaboration and Interdisciplinary Approaches 353 15.9 Ethics and Human Factors in Future Digital Forensics and Cybersecurity 356 15.10 Challenges and Opportunities of Digital and Cyber-Forensics 359 15.11 Conclusion 360 16 Tomorrow's Shields: Exploring Future Trends in Cyber Security and Forensics 367 16.1 Introduction 368 16.2 Recent Digital Forensic Trends 369 16.3 Threats Faced by Digital Forensics 374 16.4 Opportunities 378 16.5 Conclusion 382 References 382 Index 387
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Subject Areas: Computer science [UY]
