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This book is an essential resource for anyone seeking to stay ahead in the dynamic field of cybersecurity, providing a comprehensive toolkit for understanding and combating digital threats and offering practical, insightful guidance ideal for cybersecurity professionals, digital forensic investigators, legal practitioners, law enforcement, scholars, and students.
In the rapidly evolving domain of digital security, this book emerges as a vital guide for understanding and addressing the sophisticated landscape of cyber threats. This in-depth volume, featuring contributions from renowned experts, provides a thorough examination of the current state and future challenges in digital security and forensic analysis. The book is meticulously organized into seven sections (excluding conclusion), each focusing on a critical aspect of cybersecurity. It begins with a comprehensive overview of the latest trends and threats in the field, setting the stage for deeper explorations in subsequent sections. Readers will gain insights into a range of topics, from the intricacies of advanced persistent threats and malware, to the security nuances of cyber-physical systems and the Internet of Things (IoT).
The book covers cutting-edge topics like blockchain, cryptography, social engineering, cloud security, and data privacy, blending theory with practical case studies. It's a practical guide for cybersecurity professionals, forensic investigators, legal practitioners, law enforcement, scholars, and students. Offering a comprehensive toolkit for combating digital threats, it's essential for staying ahead in the fast-evolving field of cybersecurity.
Gulshan Shrivastava, PhD, is an associate professor at the School of Computer Science Engineering and Technology at Bennett University, India. He has published five patents and over 55 articles, books, and editorials in international journals and conferences of high repute. He is a life member of the International Society for Technology in Education, senior member of the Institute of Electrical and Electronics Engineers, and professional member of many professional bodies.
Rudra Pratap Ojha, PhD, is a professor in the Department of Computer Science and Engineering, G. L. Bajaj Institute of Technology and Management, India. He has published more than 15 papers in national and international journals and conferences. He also works as an editor in various reputed journals and has delivered expert talks and guest lectures at various prestigious institutes. Additionally, he is a life member of the Computer Society of India.
Shashank Awasthi, PhD, is a professor in the Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management, India. He has more than 18 years of teaching and research experience across eight countries and has presented his research at various international conferences. He has published more than a dozen research papers in national and international journals of repute. He is a lifetime member of the Institute of Electrical and Electronics Engineers and International Association of Engineers, Hong Kong.
Himani Bansal, PhD, is an assistant professor at the Jaypee Institute of Information Technology, Noida, India with over 14 years of experience in academia and the corporate sector. She has published many research papers in various international journals and conferences, as well as chapters and books in several international book series. Additionally, she has served as an editor for several journals and has organized, coordinated, and attended numerous trainings, seminars, and workshops.
Kavita Sharma, PhD, is a professor in the Department of Computer Science and Engineering at the Galgotias College of Engineering & Technology, India. She has also been awarded a research fellowship from the Ministry of Electronics and Information Technology from the Government of India. She has more than 12 years of experience in academia and research. She has four patents and has published seven books and 45 research articles in international journals and conferences of high repute and has served as a guest editor, editorial board member, and member of an international advisory board. Additionally, she has actively participated and organized several international conferences, faculty development programs, and various national and international workshops and is a member of numerous professional organizations.
Preface xxv
1 Emerging Threats and Trends in Digital Forensics and Cybersecurity 1 Sethu Laksmi S., Lekshmi Das, Razil S.R. Khan and Pooja Chakraborty
1.1 Introduction 1
1.2 Threats Faced by Digital Forensics 2
1.3 Cybersecurity Threats in 2023 3
1.4 New Era of Technology and Their Risks 6
1.5 Challenges for Digital Forensics 7
1.6 Impact of Mobile Gadgets on Cybersecurity 8
1.7 The Vulnerabilities in Wireless Mobile Data Exchange 8
1.8 Network Segmentation and its Applications 9
1.9 Relationship Between Privacy and Security 10
1.10 Recent Trends in Digital Forensics 10
1.11 Opportunities in this Field 12
1.12 Future Enhancements in Digital Forensics 14
1.13 Cybersecurity and Cyber Forensics in Smart Cities 14
1.14 Network Security and Forensics 16
1.15 Software and Social Engineering Attacks on RSA 17
1.16 Cyber Threats and Cybersecurity 18
1.17 Conclusion 20
Bibliography 20
2 Toward Reliable Image Forensics: Deep Learning-Based Forgery Detection 23 Choudhary Shyam Prakash, Sahani Pooja Jaiprakash and Naween Kumar
2.1 Introduction 23
2.2 Fundamentals of Image Forensics 25
2.3 Deep Learning in Image Forensics 27
2.4 Datasets of Image Forgery Detection 31
2.5 Feature Extraction and Representation 32
2.6 Model Training and Evaluation 32
2.7 Challenges and Future Scope 35
2.8 Conclusion 36
References 36
3 Understanding and Mitigating Advanced Persistent Threats in a Dynamic Cyber Landscape 39 Shami Sushant and Shipra Rohatgi
3.1 Introduction 39
3.2 APT Lifecycle 42
3.3 Characteristics and Methods of APTs 43
3.4 APT Detection 46
3.5 Mitigation Techniques 51
3.6 Case Study: CozyDuke APT 56
Conclusion 58
References 58
4 Class-Imbalanced Problems in Malware Analysis and Detection in Classification Algorithms 61 Bidyapati Thiyam, Chadalavada Suptha Saranya and Shouvik Dey
4.1 Introduction 61
4.2 Background 62
4.3 Related Work 64
4.4 Detailed Overview of the Methodology 72
4.5 Discussion and Challenges 76
4.6 Conclusion 77
References 77
5 Malware Analysis and Detection: New Approaches and Techniques 83 Laiba Mazhar and Shipra Rohatgi
5.1 Introduction 83
5.2 Malware 84
5.3 Case Studies 99
5.4 Future Aspects 102
5.5 Conclusion 107
References 108
6 State-of-the-Art in Ransomware Analysis and Detection 111 Amit Kumar Upadhyay, Preeti Dubey, Sahil Gandhi and Shreya Jain
6.1 Introduction 111
Evolution 113
Lifecycle 116
Infection Method 118
Targets of Ransomware Attacks 120
Payment Process and Method 121
Ransomware Analysis 122
Ransomware Detection 123
Ransomware Prevention 126
Recovery 128
Characteristics 130
Difficulties 131
Impact of Ransomware Attacks 132
Statistics 134
Conclusion 134
References 134
7 Cyber-Physical System Security: Challenges and Countermeasures 137 Ankit Garg, Anuj Kumar Singh, Aleem Ali and Madan Lal Saini
7.1 Introduction 137
7.2 Challenges in CPS Security 141
7.3 Security Risks and Consequences 145
7.4 Key Considerations for CPS Security 147
7.5 Countermeasures for CPS Security 150
7.6 Case Studies and Examples 153
7.7 Future Directions and Emerging Technologies 155
7.8 Conclusion 156
References 157
8 Unraveling the Ethical Conundrum: Privacy Challenges in the Realm of Digital Forensics 161 Tushar Krishnamani and Parmila Dhiman
8.1 Introduction 161
8.2 Fundamental Concepts in Digital Forensics 162
8.3 Privacy Concerns in AI Technology: Security Systems and Cyber Forensics 163
8.4 Maintaining Integrity of Evidence in Forensic Investigations 165
8.5 Ethical Obligations of Forensic Investigators 166
8.6 Conclusion 171
References 171
9 IoT and Smart Device Security: Emerging Threats and Countermeasures 173 Akhilesh Kumar Singh, Ajeet Kumar Sharma, Surabhi Kesarwani, Pradeep Kumar Singh, Pawan Kumar Verma and Seshathiri Dhanasekaran
9.1 Introduction 173
9.2 The Growth of IoT and Smart Devices 174
9.3 Emerging Threat Landscape 175
9.4 Device Vulnerabilities and Exploits 176
9.5 Data Privacy and Leakage 177
9.6 Network Attacks and Amplification 178
9.7 Physical Attacks on Smart Devices 183
9.8 Supply Chain Risks in IoT Ecosystem 184
9.9 Lack of Standardization in IoT Security 185
9.10 Countermeasures and Best Practices 187
9.11 Conclusion and Future Directions 188
References 188
10 Advanced Security for IoT and Smart Devices: Addressing Modern Threats and Solutions 191 Himanshu Sharma, Prabhat Kumar and Kavita Sharma
10.1 Introduction 192
10.2 IoT and Smart Device Landscape 193
10.3 Emerging Threats in IoT and Smart Device Security 196
10.4 Vulnerabilities in IoT and Smart Devices 199
10.5 Countermeasures and Best Practices 201
10.6 Security Standards and Regulations 204
10.7 Security Testing and Assessment 206
10.8 Incident Response and Recovery 207
10.9 Case Studies: Real-World Examples 209
10.10 Future Trends and Challenges 211
10.11 Conclusion 213
References 215
11 Threats and Countermeasures for IoT and Smart Devices 217 Amrit Suman, Preetam Suman, Sasmita Padhy, Roshan Jahan and Naween Kumar
11.1 Introduction 217
11.2 IoT Architecture 219
11.3 Security in the Application Layer of IoT 221
11.4 Literature Survey 227
11.5 Results and Discussion 232
11.6 Conclusion and Future Work 234
References 235
12 Insider Threat Detection and Prevention: New Approaches and Tools 241 Rakhi S., Sampada H. K., Arun Balodi, Shobha P. C. and Roshan Kumar
12.1 Introduction 241
12.2 Insider Attack: A Big Picture 246
12.3 Tools and Technology for Insider Threat Detection 249
12.4 Results and Discussions 258
12.5 Conclusion 261
References 261
13 A Holistic Framework for Insider Threat Detection and Analysis Upon Security and Privacy for Data Management Services 263 A. Sheik Abdullah, Hanish Shyam, Sriram B., Arif Ansari and Subramanian Selvakumar
13.1 Introduction 263
13.2 Defining Insider Threats 270
13.3 Know Your Critical Assets in Data Management Services 276
13.4 Insider Risk Management 282
13.5 Diving Deeper Into Holistic Framework 287
13.6 Conclusion 299
References 299
14 Revolutionizing SEO: Exploring the Synergy of Blockchain Technology and Search Ecosystems 303 Bharti Aggarwal, Dinesh Rai and Naresh Kumar
14.1 Introduction 303
14.2 Features of Blockchain 305
14.3 Literature Review 306
14.4 Integrating Blockchain into Search Ecosystems for Enhancing SEO 309
14.5 Integration of Blockchain in Search Ecosystems 310
14.6 Concept of Decentralized Search Platforms and Role in SEO Improvement 311
14.7 Use Cases and Projects Illustrating Blockchain Integration in Search Ecosystems 312
14.8 Future Trends and Implications 315
14.9 Potential Implications for the SEO Industry and Online Marketing Strategies 316
14.10 Conclusion 318
References 318
15 Emerging Trends and Future Directions of Blockchain Technology in Education 325 Urvashi Sugandh, Priyanka Gaba, Arvind Panwar and Jyoti Agarwal
15.1 Introduction 325
15.2 Overview of Blockchain Technology in Education 328
15.3 Emerging Trends in Blockchain and Education 330
15.4 Implications for the Future of Education 335
15.5 Future Directions for Blockchain in Education 340
15.6 Conclusion 345
References 346
16 Social Engineering Attacks: Detection and Prevention 349 Manpreet Kaur Aiden, Sonia Chhabra, Shweta Mayor Sabharwal and Alaa Ali Hameed
16.1 Introduction 349
16.2 Phases of Social Engineering 351
16.3 Methods of Social Engineering 352
16.4 Insider Threat 362
16.5 Impersonation on Social Media Platforms 366
16.6 Identity Theft 367
16.7 Social Engineering Detection and Prevention 371
16.8 Conclusion and Future Directions 379
References 381
17 Social Engineering Attacks in Industrial Internet of Things and Smart Industry: Detection and Prevention 389 Muhammad Muzamil Aslam, Kassim Kalinaki, Ali Tufail, Abdul Ghani Haji Naim, Madiha Zahir Khan and Sajid Ali
17.1 Introduction 390
17.2 Phases of Social Engineering Attacks 391
17.3 Social Engineering Attacks in IoT and IIoT 392
17.4 Techniques of Social Engineering Attacks 393
17.5 Social Engineering Attack Vectors 399
17.6 Social Engineering Attack Detection and Prevention Techniques 403
17.7 Real-World Social Engineering Attacks in the Industry 404
17.8 Challenges and Future Prospective in Social Engineering Attacks 406
17.9 Future Prospective and Recommendations 406
17.10 Conclusion 407
References 407
18 Cloud Security Essentials: A Detailed Exploration 413 Abhishek Singh Vardia, Aarti Chaudhary, Shikha Agarwal, Anil Kumar Sagar and Gulshan Shrivastava
18.1 Introduction 413
18.2 The Importance of Cloud Security 414
18.3 Key Cloud Security Concerns 415
18.4 Cloud Security Challenges 422
18.5 Cloud Security Challenges and Strategies 425
18.6 Common Threats in Cloud Security 426
18.7 Best Practices for Cloud Security 427
18.8 Conclusion 430
References 431
19 Data Privacy and Protection: Legal and Ethical Challenges 433 Oladri Renuka, Niranchana RadhaKrishnan, Bodapatla Sindhu Priya, Avula Jhansy and Soundarajan Ezekiel
19.1 Introduction 433
19.2 Fundamental Concepts of Data Privacy and Protection 435
19.3 Legal Frameworks for Data Privacy and Protection: Overview of Global Data Protection Laws 437
19.4 Rights and Principles Underpinning Data Privacy 440
19.5 Challenges in Implementing Data Privacy Regulations 442
19.6 Ethical Considerations in Data Collection and Usage: Transparency and Informed Consent 446
19.7 Emerging Technologies and Ethical Dilemmas: Impact of AI, IoT, and Biometrics on Data Privacy 449
19.8 Legal and Ethical Reactions to Data Breach and Privacy Incidents: Legal Requirements for Notifying Data Breach 452
19.9 Surveillance, National Security, and Individual Privacy: Striking a Balance: Privacy vs. National Security 454
19.10 Regulatory Enforcement and Accountability: Role of Data Protection Authorities 456
19.11 Future Trends and Considerations: Evolving Legal Landscapes and Global Harmonization 459
19.12 Conclusion: Navigating the Nexus of Data Privacy and Protection 462
Conclusion 463
References 463
20 Future Direction in Digital Forensics and Cyber Security 467 Ar. Varsha, Nayana Anoop Kumar, Sosthenes Nyabuto Bichanga and Pooja Chakraborty
20.1 Introduction 467
20.2 Evolution of Crime 468
20.3 Existing Cybercrime Rate in India and World 468
20.4 Emerging Cybercrime and its Future 472
20.5 Recent Paradigm Shift in Cyber Menace 480
20.6 Cyber Security 484
20.7 Artificial Intelligence 485
20.8 Contemporary Condition of Digital Forensics 488
20.9 Challenges of Digital Forensics 489
20.10 Legal Aspect of Cyber Laws 489
20.11 Prevention Against Cybercrimes 491
20.12 Conclusion 492
References 492
Index 495
Sethu Laksmi S., Lekshmi Das, Razil S.R. Khan and Pooja Chakraborty*
Department of Forensic Science and Criminology, Annai Fathima College of Arts and Science, Tamil Nadu, India
In an era where the battlegrounds of warfare have transcended physical landscapes to the intricate realm of computers and technology, the adage that the next World War will be fought through circuits and algorithms holds true. The advent of smart technologies, epitomized by the remote computing, Internet of Things (IoT), and artificial intelligence, is reshaping urban landscapes into smart cities. These connected metropolises harness innovations, like the interweb and IoT, seamlessly integrating real-time data exchanges that enhance the day-to-day lives of their residents. As our world hurtles toward a digital frontier propelled by rapid technological evolution, the symbiosis between humanity and the digital realm becomes increasingly pronounced. However, this adaptation comes at a cost exposing vulnerabilities to cybercrimes and breaches of privacy that compromise the security of individuals. In response to these challenges, the field of cyber forensics has emerged encompassing domains, such as cloud forensics and investigations, into social networking platforms.
This chapter explores the multifaceted landscape of digital forensics, weaving together various disciplines including network forensics, computer jurisprudence, online gaming, and social media forensics. The dynamic evolution of technology has not only transformed the global landscape but has also driven this chapter toward a profound paradigm shift in its approach to understanding and addressing cybercrimes. Technologies, like cloud forensics and social media forensics, play a pivotal role providing cybersecurity experts with digital footprints essential for identifying and apprehending cybercriminals. By delving into the intricacies of digital forensics, the analysis within this chapter unravels the nuances of emerging fields. From the initial stages of recognition and pre-capture to the critical steps of inspection, affirmation, and evidence handling, the methodologies presented shed light on the novel dimensions of digital forensics in our technologically driven age.
Keywords: Digital forensics, cybercrime, cybersecurity, internet, network
The emergence of Web 2.0 technologies and the recent strides in the digital landscape have fundamentally reshaped the global paradigm. The proliferation of digital tools has not only revolutionized the way we operate but has also given rise to new dimensions in cybercrime. As access to the web becomes more ubiquitous, coupled with sophisticated feature advancements, concerns about safety and security have reached unprecedented levels. Malicious techniques, tools, and software are deployed daily wreaking havoc on both well-known networks and those of individual users.
In response to this escalating digital arms race, computer forensics has emerged as a critical discipline. It encompasses the meticulous processes of displaying, verifying, assessing, restoring, and distinguishing data and artifacts from automated and digital devices ultimately safeguarding the privacy of users. However, as digital forensics methodologies evolve, so do the tactics employed by cybercriminals. There is a growing trend of scammers adeptly employing anti-forensics tools to either fabricate or completely obliterate digital evidence.
The field of computer forensics finds itself at the forefront of an ongoing battle facing new and distinctive challenges. Cyber threats and malicious software are equipped with highly intricate and potent anti-forensics strategies adding layers of complexity to the investigative process. Navigating this landscape requires a keen exploration of these daring adversaries while concurrently staying abreast of the latest advancements in digital forensics methodologies.
The following are the challenges being faced by digital forensics (Figure 1.1):
The creation of digital apparatus has permitted equal admission to several chances and also generated the digital forensics empire to face different oppositions. Various researchers have been assessing and learning known digital forensics issues. Digital forensics systems are susceptible to technical threats that endanger the coherence of the systems. Technical oppositions are those theoretical warnings that can be consigned using be-alive functions, deals, and skillfulness. A portion of tremendous threats interrelated besides digital forensics is encoded, which is a vast capacity of data and inconsistency surrounded by distinct forensic requirements. Transmission technology promotion has made smart encipher products and facilities accessible and widely available. Because of this, the encipher code and grade are more complicated increasing the time and difficulty of presenting cryptoanalysis.
Figure 1.1 Types of threats faced by digital forensics.
Digital cameras are conscious in their scope of operation. Conventional IT environments attired on assumption data processing have blended interior event management operations to ensure the most outstanding security. This activity exercises invasion observation systems; log file analysis; and coordinating, identifying, and analyzing loss of data, hackers, and trespassers. For cloud users, these privacy experiences can be arduous. The safety occasion accommodates business and private data and is furnished with anti-forensic apparatus; scammers can abduct or demolish possible proof. The absence of a systematic plan of action and activity in computer forensics disgustingly risks proof removal and examination activity. With the expanding and maturing of digital mechanics, digital forensic inspection is no longer restricted to miniature computer systems but is now a visualized habitat that involves abnormal connections and various storage gadgets. The quick improvement in cloud computing forced corporations to powerfully exchange how they approve, enlarge, and scheme for IT master plans. Cloud forensics needs a preparation aspect, which further endangers computer forensic functioning. Physical analysis and conflict of hard drives are alternate credible functioning provocations that are looked after by computer forensics. Because of the frequent increase in capacity, a small portion of facts is used for inspection, and many figures are rejected. This led to a breach of the user's security, which created extra threads to the computer's forensic function.
Personnel-related challenge hazard is the honesty of digital proof. The most eminent challenge is the absence of experienced forensic staff, which gradually affects the activity of digital forensics. Another dare is a chain of custody. One of the most prominent problems in digital forensic examination is that it acquires mechanical controls of the proofs that are not feasible in digital surroundings. Because of the single automation process and administrational laws, productively controlling the chain of events is a primary challenge in digital forensics. From that, it can be entrenched that personnel-related threats make a substantial provocation to old forensic functions. Sometimes, computer forensic expertise either deteriorates to document their job or directly cannot ensure lawful applications that further create a significant warning to computer forensic analysis.
Social engineering persists as one of the mass vicious hacking methods used by scammers mainly because it depends on artificial misconception sooner than technical helplessness. This makes attackers more murderous, and breaching a security system is much easier. In 2023, social engineering strategy was a crucial procedure for acquiring workers' information and aptitude. Over 75% of chosen computer attacks initiate with an email. Phishing is one of the top causes of data violation after using aptitude and crypto-worm.
Figure 1.2 Cybersecurity threats.
In the future, computer criminals will have easy access to less guarded networks and third parties with access to the hacker's target. In 2023, third-party violations set off an even more critical warning as companies progressively take up individualistic fabricators to finish work once full-time workers control them. Since COVID-19, the FBI has clocked in a 300% expansion in cyberattacks. Several studies predict that distant work has made it accessible for scammers and computer criminals to take benefit of the crowd.
In 2023, the continued cooperation collision of the COVID-19 epidemic, sociopolitical disorder, and economic pressure were more likely to increase workers' inattentive corrections establishing mass practicable chances for computer criminals.
Cyber hygiene means routine practices concerning apparatus, like dodging defenseless Wi-Fi networks, and executing safeguards, like virtual private networks.
Clouds would become more protective...
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