Emerging Trends In Information System Security Using Ai Data Science For Next Generation Cyber Analytics
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Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics
This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and the imperative for innovative solutions. From establishing the fundamental principles of cyber security to scrutinizing the latest advancements in AI and machine learning, each chapter offers invaluable insights into bolstering defenses against contemporary threats. Readers are guided through a journey that traverses the realms of cyber analytics, threat analysis, and the safeguarding of information systems in an increasingly interconnected world. With chapters dedicated to exploring the role of AI in securing IoT devices, employing supervised and unsupervised learning techniques for threat classification, and harnessing the power of recurrent neural networks for time series analysis, this book presents a holistic view of the evolving cybersecurity landscape. Moreover, it highlights the importance of next-generation defense mechanisms, such as generative adversarial networks (GANs) and federated learning techniques, in combating sophisticated cyber threats while preserving privacy. This book is a comprehensive guide to integrating AI and data science into modern cybersecurity strategies. It covers topics like anomaly detection, behaviour analysis, and threat intelligence, and advocates for proactive risk mitigation using AI and data science. The book provides practical applications, ethical considerations, and customizable frameworks for implementing next-gen cyber defense strategies. It bridges theory with practice, offering real-world case studies, innovative methodologies, and continuous learning resources to equip readers with the knowledge and tools to mitigate cyber threats.
Leveraging VANETs and Blockchain Technology for Urban Mobility
The integration of Vehicular Ad-hoc Networks (VANETs) with blockchain technology emerges as a transformative approach to enhancing urban mobility, offering new solutions to the challenges of traffic management, vehicle safety, and data security in smart cities. VANETs enable real-time communication between vehicles and infrastructure, creating a dynamic network to optimize traffic flow, reduce congestion, and improve safety by enabling autonomous vehicle interaction and instant data exchange. When combined with blockchain technology, this network gains a layer of decentralization and security, ensuring data shared between vehicles, traffic signals, and other urban systems remains tamper-proof and transparent. Blockchain also facilitates secure and efficient transactions, like toll payments or car-sharing services, and maintains a record of vehicle data, including maintenance history or driving patterns, offering new opportunities for vehicle lifecycle management, insurance claims, and regulatory compliance. Together, VANETs and blockchain could revolutionize urban mobility by creating a more efficient, secure, and sustainable transportation ecosystem, driving the development of smarter, safer cities. Leveraging VANETs and Blockchain Technology for Urban Mobility explores the capabilities of VANET and blockchain technology to create a new intelligent urban transportation architecture. It examines how transportation and infrastructure engineers can create secure, efficient, and safe urban mobility. This book covers topics such as smart cities, sustainability, and waste management, and is a useful resource for civil and mechanical engineers, urban developers, business owners, academicians, researchers, and data scientists.