Keshav Kaushik – författare

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book.This book:• Includes detailed applications of cybersecurity and forensics for real-life problems• Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics• Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchersProf. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India.Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India.Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book.This book:• Includes detailed applications of cybersecurity and forensics for real-life problems• Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics• Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchersProf. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India.Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India.Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India.Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. The book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. It advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. Users will find this to be a comprehensive resource that benefits researchers and practitioners who seek to understand the convergence of medical technology, interconnected devices, and digital forensics.Presents best practices for the authentication, encryption, and other security protocols to proactively safeguard patient data and healthcare infrastructureAddresses a critical gap in current literature by offering practical insights and solutions for professionals working at the intersection of IoT, healthcare, and digital forensicsExplains the complexities of interrelated medical technology and clarifies how they affect cybersecurity, digital forensic investigations, and patient care

This book concentrates on the sustainable applications of the Blockchain Technology across multiple latest computational knowledge domains. It covers the feasible and practical collaboration of Blockchain Technology with latest Sustainable Smart Computing Technologies. It will target the vast applications of Blockchain in the field of Internet of Things, Artificial Intelligence, and Cybersecurity. The book effectively provides satisfactory information about the essentials of Blockchain and IoT to a typical pursuer alongside encouraging an examination researcher to distinguish some modern issue regions that rise up out of the intermingling of the two advancements. Besides, the creators talk about pertinent application zones, for example, smart city, e-social insurance, and so forth along the course of the book. • Covers the recent advancements in Blockchain technology• Discusses the applications of Blockchain technology for real life problems• Address the challenges related to implementation of Blockchain technology• Includes case studies• Includes the latest trends and area of research in Blockchain TechnologyThis book is primarily aimed at graduates, researchers and professions working in the field of blockchain technology.

This book concentrates on the sustainable applications of the Blockchain Technology across multiple latest computational knowledge domains. It covers the feasible and practical collaboration of Blockchain Technology with latest Sustainable Smart Computing Technologies. It will target the vast applications of Blockchain in the field of Internet of Things, Artificial Intelligence, and Cybersecurity. The book effectively provides satisfactory information about the essentials of Blockchain and IoT to a typical pursuer alongside encouraging an examination researcher to distinguish some modern issue regions that rise up out of the intermingling of the two advancements. Besides, the creators talk about pertinent application zones, for example, smart city, e-social insurance, and so forth along the course of the book. • Covers the recent advancements in Blockchain technology• Discusses the applications of Blockchain technology for real life problems• Address the challenges related to implementation of Blockchain technology• Includes case studies• Includes the latest trends and area of research in Blockchain TechnologyThis book is primarily aimed at graduates, researchers and professions working in the field of blockchain technology.

Unleashing the Art of Digital Forensics is intended to describe and explain the steps taken during a forensic examination, with the intent of making the reader aware of the constraints and considerations that apply during a forensic examination in law enforcement and in the private sector.Key Features:• Discusses the recent advancements in Digital Forensics and Cybersecurity• Reviews detailed applications of Digital Forensics for real-life problems• Addresses the challenges related to implementation of Digital Forensics and Anti-Forensic approaches • Includes case studies that will be helpful for researchers• Offers both quantitative and qualitative research articles, conceptual papers, review papers, etc.• Identifies the future scope of research in the field of Digital Forensics and Cybersecurity.This book is aimed primarily at and will be beneficial to graduates, postgraduates, and researchers in Digital Forensics and Cybersecurity.

Unleashing the Art of Digital Forensics is intended to describe and explain the steps taken during a forensic examination, with the intent of making the reader aware of the constraints and considerations that apply during a forensic examination in law enforcement and in the private sector.Key Features:• Discusses the recent advancements in Digital Forensics and Cybersecurity• Reviews detailed applications of Digital Forensics for real-life problems• Addresses the challenges related to implementation of Digital Forensics and Anti-Forensic approaches • Includes case studies that will be helpful for researchers• Offers both quantitative and qualitative research articles, conceptual papers, review papers, etc.• Identifies the future scope of research in the field of Digital Forensics and Cybersecurity.This book is aimed primarily at and will be beneficial to graduates, postgraduates, and researchers in Digital Forensics and Cybersecurity.

The quantity, diversity, and sophistication of Internet of Things (IoT) items are rapidly increasing, posing significant issues but also innovative solutions for forensic science. Such systems are becoming increasingly common in public locations, businesses, universities, residences, and other shared offices, producing enormous amounts of data at rapid speeds in a variety of forms. IoT devices can be used as suspects, digital witnesses, or instruments of crime and cyberattacks, posing new investigation problems, forensic issues, security threats, legal concerns, privacy concerns, and ethical dilemmas. A cyberattack on IoT devices might target the device itself or associated systems, particularly vital infrastructure.This book discusses the advancements in IoT and Cyber Physical Systems (CPS) forensics. The first objective is to learn and understand the fundamentals of IoT forensics. This objective will answer the question of why and how IoT has evolved as one of the most promising and widely accepted technologies across the globe and has many widely accepted applications.The second objective is to learn how to use CPS to address many computational problems. CPS forensics is a promising domain, and there are various advancements in this field. This book is structured so that the topics of discussion are relevant to each reader’s particular areas of interest. The book’s goal is to help each reader to see the relevance of IoT and CPS forensics to his or her career or interests.This book not only presents numerous case studies from a global perspective, but it also compiles a large amount of literature and research from a database. As a result, this book effectively demonstrates the concerns, difficulties, and trends surrounding the topic while also encouraging readers to think globally. The main goal of this project is to encourage both researchers and practitioners to share and exchange their experiences and recent studies between academia and industry.

The quantity, diversity, and sophistication of Internet of Things (IoT) items are rapidly increasing, posing significant issues but also innovative solutions for forensic science. Such systems are becoming increasingly common in public locations, businesses, universities, residences, and other shared offices, producing enormous amounts of data at rapid speeds in a variety of forms. IoT devices can be used as suspects, digital witnesses, or instruments of crime and cyberattacks, posing new investigation problems, forensic issues, security threats, legal concerns, privacy concerns, and ethical dilemmas. A cyberattack on IoT devices might target the device itself or associated systems, particularly vital infrastructure.This book discusses the advancements in IoT and Cyber Physical Systems (CPS) forensics. The first objective is to learn and understand the fundamentals of IoT forensics. This objective will answer the question of why and how IoT has evolved as one of the most promising and widely accepted technologies across the globe and has many widely accepted applications.The second objective is to learn how to use CPS to address many computational problems. CPS forensics is a promising domain, and there are various advancements in this field. This book is structured so that the topics of discussion are relevant to each reader’s particular areas of interest. The book’s goal is to help each reader to see the relevance of IoT and CPS forensics to his or her career or interests.This book not only presents numerous case studies from a global perspective, but it also compiles a large amount of literature and research from a database. As a result, this book effectively demonstrates the concerns, difficulties, and trends surrounding the topic while also encouraging readers to think globally. The main goal of this project is to encourage both researchers and practitioners to share and exchange their experiences and recent studies between academia and industry.

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics.Key Features:Comprehensive coverage of the fundamentals of big data analyticsIn-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systemsPractical examples and case studies to help readers understand complex conceptsCoverage of the use of big data analytics in various industries, including healthcare, energy management, and agricultureDiscussion of challenges and legal frameworks involved in big data analyticsClear and concise language that is easy to understandThis book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics.Key Features:Comprehensive coverage of the fundamentals of big data analyticsIn-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systemsPractical examples and case studies to help readers understand complex conceptsCoverage of the use of big data analytics in various industries, including healthcare, energy management, and agricultureDiscussion of challenges and legal frameworks involved in big data analyticsClear and concise language that is easy to understandThis book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

The book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing.• Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics• Covers advanced tools in the domain of data hiding and steganalysis• Discusses the role and application of artificial intelligence and big data in cybersecurity• Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues• Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensicsThe text is primarily written for senior undergraduates, graduate students, and academicresearchers, in the fields of computer science, electrical engineering, cybersecurity,and forensics.

This book focuses on the techniques of artificial intelligence that are mainly used in the power electronics field for the optimization of lost vehicle power. With the intention of optimizing the powerful energy of the vehicles and producing reliable energy, the most efficient methods, algorithms, and strategies of ethical artificial intelligence (AI) are being applied. By employing machine learning methods, the optimization of power energy in vehicles can be quickly recovered and managed efficiently. In today’s bustling world, power energy is indispensable for progress, yet in congested Vehicular Ad-hoc Networks (VANETs), vehicles often face power depletion and decreased efficiency. This book explores these challenges, encompassing not only power but also other critical power electronics within vehicles. We aim to introduce innovative approaches, leveraging ethical AI methods, to optimize energy performance in the face of these difficulties. Through this exploration, we seek to provide practical insights into navigating congested VANET environments while upholding ethical principles in technological advancements. Our book will discuss the current power energy concerns faced by vehicles and also contribute a novel strategy to overcome those concerns. The employment of ethical AI in vehicular power energy will undoubtedly improve the effectiveness and production of vehicles.

Business Transformation and Digital Innovation in the Service Sector explores the profound effects of digital innovation on the service sector, especially its potential for driving business transformation. Providing a technical examination of the various ways in which digital technologies are revolutionizing service-oriented industries, the book offers insight and strategy for organizations looking to leverage these business solutions. Case studies focusing on industry trends and emerging technologies help readers navigate the digital landscape and discover ways to achieve sustainable success in the service sector. The book• Offers practical guidance and actionable strategies for implementing digital innovation in the service sector• Addresses the ethical considerations associated with digital innovation in the service sector, such as privacy, data protection, and responsible use of technology• Presents real-world examples and case studies of service businesses that have successfully undergone digital transformation.The book covers core concepts, technologies, and trends that are reshaping industries and that enable business leaders to make informed decisions and strategies. Emphasizing the technical aspects of digital innovation, the book explores applying such technologies as artificial intelligence, blockchain, cloud computing, and IoT. It also addresses the ethical and legal implications of digital transformation, including privacy, data protection, and intellectual property rights.Going beyond theory, it offers practical insights with real-world case studies that illustrate successful digital transformation initiatives. The book provides lessons learned, best practices, and implementation strategies to illustrate how to adapt business models, enhance customer experience, leverage data and analytics, and build agile organizations.

The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.

Advanced Investigation Strategies for IoT Forensics: Technical Solutions to Security and Investigative Methodologies in IoT Forensics is an edited book that explores the crossroads of digital forensics and the Internet of Things. The book offers a one-stop solution to understanding forensic mechanisms, security weaknesses, and privacy issues in IoT ecosystems. Spanning core theories, applied case studies, and new approaches—such as AI, blockchain, and memory forensics—the book is an essential handbook for researchers, practitioners, and students. From the international subject matter expert community, it presents a visionary summary of the future trends and ethical issues in IoT forensic analysis.FeaturesExamines forensic investigation techniques focused on IoT devices and IoT systems.Examines identification, data gathering, preservation, and evidence analysis tools and techniques in IoT systems.Examines encryption algorithms, covert channel discovery, and privacy-preserving mechanisms.Applies forensic case scenarios in healthcare, smart cities, and industrial control systems from real-world situations.Addresses the ethical, legal, and compliance perspective of IoT forensics from a worldwide viewpoint.Emphasizes trends such as AI, blockchain adoption, and edge computing, introducing the model for the development of forensic procedures.The book is especially useful for academic researchers, undergraduate students, postgraduate students, and industry researchers and professionals.

This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.

This book offers a comprehensive, practice-driven guide to designing and managing robust AI cloud infrastructure systems for real-world applications.As enterprises continue to adopt AI to enhance automation, decision-making, and customer engagement, there is a growing demand for cloud-native architectures that can scale with increasing data volumes, support model training, ensure operational efficiency, and meet stringent security and governance requirements. This book addresses that demand by equipping readers with the foundational knowledge and advanced strategies needed to build, deploy, and maintain AI systems on modern cloud platforms. What makes this book unique is its end-to-end perspective, which goes beyond traditional AI model development. It covers key pillars such as hybrid and multi-cloud strategies, container orchestration, serverless computing, edge AI deployment, AI governance, cost optimization, and sustainable computing, all framed around the AI model lifecycle. Readers will gain practical insights through architectural diagrams, platform comparisons (AWS, Azure, GCP), and use cases across healthcare, finance, and manufacturing. It also explores the integration of AutoML, MLOps, quantum computing, and green AI within cloud ecosystems. This book fills a critical gap by merging cloud infrastructure engineering with AI-specific challenges, offering a rare blend of systems thinking and AI expertise.Targeted toward architects, data scientists, DevOps engineers, cloud professionals, and graduate students, it serves as both a reference guide and a strategic roadmap for building future-ready AI systems in the cloud.

Learn to leverage the power of Autonomous Flying Ad-Hoc Networks (FANETs) for everything from urban surveillance to disaster relief, and stay ahead in the rapidly evolving world of drone technology and AI. Flying ad-hoc networks (FANETS) are emerging as an innovative technology in the Unmanned Aerial Vehicles (UAV) space, which has proven its usefulness in urban surveillance, disaster management, and rescue operations. In FANETs, a swarm of UAVs are locally connected together through a base station and the nearby environment to gather the information. FANETs are able to cover larger distances than its predecessors, MANETs (Mobile Ad-hoc Networks) and VANETs (Vehicle Ad-Hoc Networks), making them an ideal solution for gathering vital data. As artificial intelligence is implemented across a number of industries, this technology has the capability to train large datasets. Researchers are exploring ways to improve AI algorithms and quantum computing using this technology. Autonomous Flying Ad-Hoc Networks offers comprehensive coverage of the fundamentals of FANET technology by comparing the differences between FANETs, MANETs, and VANETs, including their characteristics, features, and design models, and discussing the applications and challenges of FANET adoption.

This new book, Demystifying Sustainable Farming Using Smart Technologies, helps to bridge the gap between traditional agricultural practices and the technological innovations that are revolutionizing the field, focusing on the transformative potential of artificial intelligence (AI) and machine learning (ML) in agriculture.Covering myriad topics that encompass the essence of smart agriculture, the book highlights the concept of Agriculture 5.0, covering its scope and challenges. It looks at sustainable agriculture from various angles, proposing technological means for increasing efficiency with regard to supply chain, pest control, farming techniques, climate change, irrigation, and more. From precision farming and predictive analytics to automated machinery and IoT-enabled devices, each chapter unveils the practical applications of technology in agriculture. These innovations are not only making farming more efficient but are also paving the way for more resilient and adaptable agricultural systems.Technologies covered in the book include agricultural drones and robotics, the Internet of Things, blockchain technology, image processing-based applications, smart monitoring devices, augmented and virtual reality applications, data-driven mobile apps, and more.By harnessing the power of these technologies, we can optimize crop yields, enhance resource efficiency, and make informed decisions that promote sustainability. This volume highlights the integration of AI and ML into farming practices to address some of the most pressing challenges in agriculture today.

"AI at Edge: Transforming Edge Networks with Computational Intelligence" explores how artificial intelligence enhances the efficiency and capabilities of edge computing. It focuses on key topics like task offloading, resource management, communication optimization, Explainable AI, Security, privacy, and real-time decision-making at the edge. Readers will gain insights into practical methods and tools used to solve real-world challenges in low-latency and high-efficiency networks. The book includes clear explanations, practical case studies, and illustrations to help readers understand complex concepts. It is designed for researchers, professionals, and students, offering a mix of foundational knowledge and advanced techniques. By reading this book, readers will learn how to design smarter, faster, and more secure edge networks using AI. " AI at Edge: Transforming Edge Networks with Computational Intelligence " is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of computational intelligence and edge computing.

This open access book constitutes the proceedings of the Second International Conference on Data Science and Exploration in Artificial Intelligence, CODE-AI 2025, which took place in Dubai, UAE, during April 7-8, 2025.The 67 full papers included in these proceedings were carefully reviewed and selected from 750 submissions.The thematic scope of CODE-AI 2025 spanned intelligent computing methods (including genetic algorithms, simulated annealing, artificial fish-swarm algorithms, quantum computing and fuzzy logic), advanced AI applications (such as biometrics, pattern recognition, computer and machine vision, speech recognition and smart robotics) and data-science topics (deep learning, decision-making frameworks, IoT/edge data integration and visualization.

This open access book constitutes the proceedings of the Second International Conference on Data Science and Exploration in Artificial Intelligence, CODE-AI 2025, which took place in Dubai, UAE, during April 7-8, 2025..The 67 full papers included in these proceedings were carefully reviewed and selected from 750 submissions.The thematic scope of CODE-AI 2025 spanned intelligent computing methods (including genetic algorithms, simulated annealing, artificial fish-swarm algorithms, quantum computing and fuzzy logic), advanced AI applications (such as biometrics, pattern recognition, computer and machine vision, speech recognition and smart robotics) and data-science topics (deep learning, decision-making frameworks, IoT/edge data integration and visualization.