دانلود کتاب ایمن‌سازی مرز دیجیتال – تهدیدات و تکنیک‌های پیشرفته در امنیت و فارنزیک

Welcome to Securing the Digital Frontier: Threats and Advanced Techniques in Security and Forensics. In today’s interconnected world, where our lives are increasingly intertwined with technology, safeguarding our digital information cannot be overstated. This book is a comprehensive exploration of the evolving landscape of cybersecurity, offering insights into the latest threats, innovative techniques, and proactive measures employed to protect our digital assets. Chapter 1, “Pegasus – A Menace to Privacy and Security,” sheds light on the Pegasus spyware developed by the Israeli-based cyber group NSO. Authors Raunaq Khurana and Shilpa Mahajan examine the workings of this advanced spyware, which exploits zero-day vulnerabilities to access and collect data from target systems without user consent. Through detailed analysis and case studies, the chapter highlights Pegasus’s challenges. It encourages using advanced technologies such as AI and ML/DL to develop effective countermeasures. In Chapter 2, “Data Privacy and Compliance in Information Security,” authors Rakesh Nayak, Umashankar Ghugar, Praveen Gupta, Satyabrata Dash, and Nishu Gupta explore the sophisticated relationship between data privacy and compliance in information security. They discuss the challenges, regulations, and best practices in protecting sensitive data in today’s digital age, emphasizing the importance of implementing robust security measures and fostering privacy awareness within organizations. Chapter 3, “Unveiling Cyber Threats: Exploring Crime, Security Techniques, and Digital Forensics,” authored by Nidhi Gupta, Arpita Trivedi, Parveen P Terang, and Hasmat Malik, delves into the escalating landscape of cybercrimes and the various advanced techniques used to protect devices from cyberattacks. The chapter also highlights the importance of digital forensics in investigating cybercrimes and identifying perpetrators. In Chapter 4, “A Customised Privacy Preservation Mechanism for Cyber- Physical Systems,” authors Manas Kumar Yogi and A.S.N. Chakravarthy advocate for a novel privacy approach for cyber-physical systems, allowing users to customize their privacy settings based on their usage. The chapter explores the trade-off between privacy and utility in CPS entities and presents a provisional privacy-preserving method designed to enhance data utility while maintaining user privacy. Chapter 5, “Securing the Future: Emerging Threats and Countermeasures in Cryptography,” authored by Debosree Ghosh, Kishore Ghosh, Chandrima Chakraborty, Atanu Datta, and Somsubhra Gupta, focuses on emerging threats to cryptographic systems and innovative countermeasures. The chapter highlights the importance of post-quantum cryptography and secure implementation practices in safeguarding data security in an evolving digital landscape. In Chapter 6, “Cyber Threats and its Impact on Electronic Transactions,” authors Ramalingam Dharmalingam and Vaishnavi Dharmalingam explore the impact of cyber threats on electronic transactions, particularly during the COVID-19 pandemic. The chapter discusses the growth of digital transformation, current cyberattacks, and frameworks for combating cyber threats, emphasizing the need for collaborative efforts to secure future transactions. Chapter 7, “A Robust Model for Enabling Insider Threat Detection and Prevention: Techniques, Tools, and Applications,” authored by A Sheik Abdullah, Shivansh Dhiman, and Arif Ansari, addresses the growing threat of insider threats in organizations. The chapter explores techniques and tools for accurately detecting and mitigating insider threats, leveraging machine learning, artificial intelligence, and behavioral analytics. In Chapter 8, “Digital Vulnerabilities Unveiled: A Multidisciplinary Exploration of Emerging Threats to Security and Privacy in the Age of Networked Communication,” authors Priya Sachdeva and Archan Mitra offer a multidisciplinary analysis of digital vulnerabilities, highlighting the interplay between socio-technical factors underlying security issues. The chapter emphasizes the value of interdisciplinary approaches in comprehending and solving complex security challenges. Chapter 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,” authored by Bhupinder Singh and Christian Kaunert, explores the symbiosis of tools of emancipation, the global web, and the digital ecosystem in navigating cybersecurity challenges. The chapter discusses the role of IoT and cloud computing in mitigating cyber risks and proposes strategies for fortifying safe spaces in the digital realm. Chapter 10, “IoT and Smart Device Security: Emerging Threats and Countermeasures,” authored by Geo Francis E, S. Sheeja, Anotony Johen E.F., and Jismy Joseph, delves into the security challenges posed by IoT devices and explores emerging threats and countermeasures. The chapter emphasizes the importance of addressing IoT vulnerabilities and implementing robust security measures to safeguard data privacy and integrity. In Chapter 11, “Secured IoT with LWC and Blockchain,” authors Srishti Priya Chaturvedi, Ajay Yadav, Santosh Kumar, and Rahul Mukherjee discuss lightweight encryption and blockchain solutions for securing the Internet of Things. The chapter explores using lightweight cryptographic algorithms and decentralized blockchain structures to protect IoT ecosystems from cyber threats. Chapter 12, “Social Engineering Attacks: Detection and Prevention,” authored by Rajat Singh, Priyanka Soni, and Animaw Kerie, focuses on social engineering attacks and proposes detection and prevention techniques. The chapter discusses various social engineering attack models and preventive measures, including security information and event management (SIEM) systems and human-as-a-security-sensor frameworks. In Chapter 13, “Multilayer Perceptron of Occlusion and Pose-Sensitive Ear Attributes for Social Engineering Attack Mitigation,” authors O. Taiwo Olaleye, Oluwasefunmi Arogundade, Adebayo Abayomi-Alli, Wilson Ahiara, Temitope Ogunbiyi, Segun Akintunde, Segun Dada, and Olalekan Okewale explore the use of multilayer perceptron for detecting social engineering attacks. The chapter investigates the effectiveness of MLP in handling occlusion and pose variations, offering insights into its potential applications in digital forensics. Chapter 14, “Study and Analysis of Cyberbullying Message Detection and Prevention Using Machine Learning Techniques,” authored by Dr. S. Gunasekaran, Dr. S. Shanmugam, and Dr. N. Anusha, focuses on detecting and preventing cyberbullying using machine learning techniques. The chapter compares different machine-learning approaches for cyberbullying detection and proposes future research directions for improving detection accuracy. Chapter 15, “Future Directions in Digital Forensics and Cybersecurity,” authored by Elipe Arjun and Priyanka Singh, offers insights into the future trends and challenges in digital forensics and cybersecurity. The chapter explores the potential impact of emerging technologies like quantum computing and AI on cybersecurity practices, emphasizing the need for interdisciplinary collaboration and ethical considerations. In Chapter 16, “Tomorrow’s Shields: Exploring Future Trends in Cyber Security and Forensics,” authors M. Sharma, R.K. Kohli, and K. Sharma provide a holistic perspective on future trends in security and forensics. The chapter discusses emerging technologies, regulatory frameworks, and industry trends shaping the future of cybersecurity, highlighting the importance of proactive measures and continuous learning in combating evolving threats.