In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises – the persistent concerns of security, privacy, and trust in cloud environments. Organizations find themselves at a crossroads, caught between the immense benefits of cloud adoption and the escalating challenges of safeguarding sensitive data and maintaining user trust. The need for a comprehensive and practical guide to navigate these intricate landscapes has ...

Cloud computing adoption has revolutionized how businesses and individuals harness the power of technology. The cloud's scalability, accessibility, and cost-efficiency have propelled it to the forefront of modern computing paradigms. However, as organizations increasingly rely on cloud services to store, process, and manage their data and applications, an intricate web of challenges has emerged, casting shadows over the very foundations of cloud computing. Improving Security, Privacy, and ...

This book looks at analysis and modelling of active biopotential signal processing. It emphasises the real-time challenges in biomedical signal processing that occur due to the complex and non-stationary nature of signals in a variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. The main focus of the book is on modelling; acquisition of biomedical signals for different disorders; implementation of methodologies a...

Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges a...

In a world where cyber threats are becoming increasingly sophisticated, the need for robust protection of our digital assets has never been more crucial. As blockchain, IoT, and network infrastructures technologies expand, so do new avenues for exploitation by malicious actors. Protecting sensitive data and ensuring the integrity of digital communications are paramount in safeguarding personal privacy, corporate assets, and even national security. To stay ahead of this unprecedented curve,...

Vulnerability assessment and risk management are critical components of cybersecurity, focusing on identifying, evaluating, and mitigating potential threats to an organization’s digital infrastructure. As cyberattacks become more sophisticated, understanding vulnerabilities in software, hardware, or networks is essential for preventing breaches and safeguarding sensitive data. Risk management analyzes the potential impact of these vulnerabilities and implements strategies to minimize expos...

Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, ...

Cyber-physical systems, which integrate computation, networking, and physical processes, apply to various sectors like autonomous vehicles and smart grids. As these systems become more complex and interconnected, ensuring their safety while achieving high performance emerges as a critical challenge. Traditional model-based control methods often struggle to cope with uncertainties, unmodeled dynamics, and evolving environments. Alternatively, data-driven control leverages real-time data to ...

As cloud computing continues to revolutionize industries, ensuring robust security measures is crucial to protecting sensitive data and maintaining operational integrity. The rapid expansion of cloud services introduces new vulnerabilities, making strong security frameworks essential. By implementing advanced encryption, access controls, and continuous monitoring, organizations can mitigate threats while maximizing the benefits of cloud technology. Secure cloud migration strategies and inc...

As phishing attacks become more sophisticated, organizations must use a multi-layered approach to detect and prevent these threats, combining advanced technologies like AI-powered threat detection, user training, and authentication systems. Protecting digital assets requires strong encryption, secure access controls, and continuous monitoring to minimize vulnerabilities. With the growing reliance on digital platforms, strengthening defenses against phishing and ensuring the security of dig...

In today's digital age, the exponential growth of cloud computing services has brought significant opportunities for businesses and individuals alike. However, this surge in cloud adoption has also ushered in a host of critical concerns, with the paramount issues being data privacy and security. The goal of protecting sensitive information from cyber threats and ensuring confidentiality has become increasingly challenging for organizations across industries. Emerging Technologies and Secur...

Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of d...