Anchit Bijalwan – författare

This book primarily focuses on providing deep insight into the concepts of network security, network forensics, botnet forensics, ethics and incident response in global perspectives. It also covers the dormant and contentious issues of the subject in most scientific and objective manner. Various case studies addressing contemporary network forensics issues are also included in this book to provide practical know – how of the subject. Network Forensics: A privacy & Security provides a significance knowledge of network forensics in different functions and spheres of the security. The book gives the complete knowledge of network security, all kind of network attacks, intention of an attacker, identification of attack, detection, its analysis, incident response, ethical issues, botnet and botnet forensics. This book also refer the recent trends that comes under network forensics. It provides in-depth insight to the dormant and latent issues of the acquisition and system live investigation too.Features: Follows an outcome-based learning approach. A systematic overview of the state-of-the-art in network security, tools, Digital forensics. Differentiation among network security, computer forensics, network forensics and botnet forensics. Discussion on various cybercrimes, attacks and cyber terminologies. Discussion on network forensics process model. Network forensics tools and different techniques Network Forensics analysis through case studies. Discussion on evidence handling and incident response. System Investigations and the ethical issues on network forensics.This book serves as a reference book for post graduate and research investigators who need to study in cyber forensics. It can also be used as a textbook for a graduate level course in Electronics & Communication, Computer Science and Computer Engineering.

This book primarily focuses on providing deep insight into the concepts of network security, network forensics, botnet forensics, ethics and incident response in global perspectives. It also covers the dormant and contentious issues of the subject in most scientific and objective manner. Various case studies addressing contemporary network forensics issues are also included in this book to provide practical know – how of the subject. Network Forensics: A privacy & Security provides a significance knowledge of network forensics in different functions and spheres of the security. The book gives the complete knowledge of network security, all kind of network attacks, intention of an attacker, identification of attack, detection, its analysis, incident response, ethical issues, botnet and botnet forensics. This book also refer the recent trends that comes under network forensics. It provides in-depth insight to the dormant and latent issues of the acquisition and system live investigation too.Features: Follows an outcome-based learning approach. A systematic overview of the state-of-the-art in network security, tools, Digital forensics. Differentiation among network security, computer forensics, network forensics and botnet forensics. Discussion on various cybercrimes, attacks and cyber terminologies. Discussion on network forensics process model. Network forensics tools and different techniques Network Forensics analysis through case studies. Discussion on evidence handling and incident response. System Investigations and the ethical issues on network forensics.This book serves as a reference book for post graduate and research investigators who need to study in cyber forensics. It can also be used as a textbook for a graduate level course in Electronics & Communication, Computer Science and Computer Engineering.

Handbook of Security, Quantum Computing and Internet of Things (IoT) explores the critical intersection of IoT, security, and quantum technologies. As IoT devices multiply, ensuring robust protection has become urgent. The book begins with IoT security standards, highlighting vulnerabilities and strategies like SQL Injection Defence (SQLi-DS). It addresses architectural challenges and stresses adaptive frameworks to withstand evolving cyber threats. The role of AI and ML in strengthening IoT security is emphasized, including hybrid ML-based attack prevention and IP reputation validation in isolated networks. Practical applications, such as secure BLE transmission for wearables, illustrate real-world impacts. A detailed examination of IoT components and vulnerabilities provides actionable guidance for risk mitigation. The handbook also introduces quantum cryptography, presenting future-ready methods for safeguarding data. This resource equips researchers, professionals, and students with knowledge to advance IoT security and harness quantum innovations in a rapidly evolving digital landscape.

At the heart of this evolution is the concept of sustainability. The book stresses the importance of adopting a balanced approach that prioritizes both technological advancements and ethical considerations. While AI and automation offer remarkable efficiencies, the text underscores that these innovations must align with core ethical principles, including privacy, legal constraints, and responsible data use. The book delves into the growing necessity of ensuring that digital forensic practices remain adaptable to the ever-evolving legal landscape. Ultimately, Sustainable Digital Forensics presents a forward-thinking vision for the future of digital investigations, where technology, ethics, and sustainability intersect. It offers a roadmap for forensic professionals, policymakers, and technologists, urging them to adopt innovations in AI and automation without losing sight of the broader implications for privacy, legal integrity, and the environment. The book serves as a comprehensive guide for shaping a digital forensic practice that not only excels in efficiency but also upholds the values of responsibility and sustainability.

This book containing 33 chapters provides an insightful look at creative approaches toward the accelerated development of computing and multidisciplinary IT solutions for society. Technology is advancing on all fronts and is opening new and innovative adaptations to our modern world every single day causing huge shifts in practices and patterns. These new technologies allow us opportunities to gain insights into the discoveries of creative and innovative approaches. The book covers emerging next-generation computing research, developments of computing, and multidisciplinary ICT solutions in seven themes: The first theme concerns the emerging research into next-generation computing like cloud computing, cyber security, and gaming;The second theme pertains to information technology in the textile industry;The third theme zeroes in on the adoption of ICT for digitalization, artificial intelligence, and machine learning;The fourth theme addresses online collaboration in the creative process;The fifth theme covers the development of computing and multidisciplinary ICT solutions for salient disciplines like education, governance, commerce, and business communication;The sixth theme provides a security assessment and defense strategies for banking and financial institutions; The seventh theme covers creative approaches towards the implementation of the 4th Industrial Revolution.AudienceThe book has a wide audience comprising specialists in artificial intelligence, information technology, software engineers, data and cyber security scientists, as well as those in the applied areas such as business, finance, industry and manufacturing. Policymakers and consultants will find this book useful as well.

Secure your expertise in the next wave of computing with this essential book, which provides a comprehensive guide to Edge AI, detailing its foundational concepts, deployment strategies, and real-world applications for revolutionizing performance and privacy across various industries. Edge AI has the potential to bring the computational power of AI algorithms closer to where data is generated, processed, and utilized. Traditionally, AI models are deployed in centralized cloud environments, leading to latency issues, bandwidth constraints, and privacy concerns. Edge AI addresses these limitations by enabling AI inference and decision-making directly on edge devices, such as smartphones, IoT sensors, and edge servers. Despite its challenges, edge AI presents numerous opportunities across various domains. From real-time health monitoring and predictive maintenance in industrial IoT to personalized recommendations in retail and immersive experiences in augmented reality, edge AI has the potential to revolutionize how we interact with technology. This book aims to provide a comprehensive exploration of edge AI, covering its foundational concepts, development frameworks, deployment strategies, security considerations, ethical implications, emerging trends, and real-world applications. This guide is essential for anyone pushing the boundaries to leverage edge computing for enhanced performance and efficiency. Readers will find this volume: Dives deep into the world of edge AI with a comprehensive exploration covering foundational concepts, development frameworks, deployment strategies, security considerations, ethical implications, governance frameworks, optimization techniques, and real-world applications;Offers practical guidance on implementing edge AI solutions effectively in various domains, including architecture design, development frameworks, deployment strategies, and optimization techniques;Explores concrete examples of edge AI applications across diverse domains such as healthcare, industrial IoT, smart cities, and autonomous systems, providing insights into how edge AI is revolutionizing industries and everyday life;Provides insights into emerging trends and technologies in the field of edge AI, including convergence with blockchain, augmented reality, virtual reality, autonomous systems, personalized experiences, and cybersecurity. Audience Researchers, AI experts, and industry professionals in the field of computer science, IT, and business management.