Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning

Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning

Pages: 300
DOI: 10.4018/979-8-3693-6557-1
ISBN13: 9798369365571|ISBN13 Softcover: 9798369365588|EISBN13: 9798369365595
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Description & Coverage
Description:

1) Overview of the Publication:

"Innovate to Secure: Cloud, Blockchain, AI, and ML Strategies for E-Commerce Data Security" is a comprehensive guide addressing the critical need for advanced security measures in the rapidly evolving e-commerce landscape. This publication aims to provide a detailed examination of the current state of e-commerce data security, along with practical strategies leveraging cutting-edge technologies such as Cloud Computing, Blockchain, Artificial Intelligence (AI), and Machine Learning (ML). From cloud security best practices to the implementation of blockchain for immutable transactions and the utilization of AI and ML in threat detection and fraud prevention, this book offers a holistic approach to fortify e-commerce platforms against cyber threats.

2) Impact on the Research Community:

The publication is poised to make a significant impact on the research community by contributing valuable insights into the intersection of e-commerce and cybersecurity. It goes beyond traditional approaches by integrating multiple advanced technologies, offering a holistic perspective on securing sensitive data in online transactions. Researchers and academics in the fields of cybersecurity, cloud computing, blockchain, AI, and ML will benefit from the in-depth analysis, real-world case studies, and practical implementation guides presented in the book. By addressing the challenges faced by the e-commerce industry, this publication contributes to the ongoing discourse on innovative security measures and fosters a collaborative environment for further research and development in the domain.

3) Intended Audience:

E-commerce Entrepreneurs: Gain actionable strategies to fortify your online business against cyber threats. CTOs and CIOs: Deepen your understanding of advanced security measures and guide your organization's technology strategy.

Security Professionals: Stay at the forefront of e-commerce security trends, enhancing your skills and knowledge.

Technical and Non-Technical Readers: The book is designed to cater to a broad audience, ensuring accessibility for those with varying levels of technical expertise.

Researchers and Academics: Access a valuable resource for exploring the intersection of cybersecurity, cloud computing, blockchain, AI, and ML in the context of e-commerce.

By targeting these diverse audiences, "Innovate to Secure" aims to bridge the gap between theoretical knowledge and practical implementation, making it a valuable resource for anyone involved in or interested in the secure evolution of e-commerce platforms.

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Editor/Author Biographies
Pawan Kr. Goel , is a accomplished academician and researcher with 18 years of experience, is an Associate Professor at Raj Kumar Goel Institute of Technology, Ghaziabad. He holds a Ph.D. in Computer Science Engineering and is UGC NET qualified. His expertise spans various domains, including wireless sensor networks, cloud computing, and artificial intelligence. Dr. Goel has published extensively in prestigious journals and conferences, with notable papers on topics such as cybersecurity, IoT, and machine learning. He is an active member of numerous professional bodies, including the Computer Society of India and the International Association of Engineers. Recognized for his contributions, he has received several awards and certificates of appreciation. Dr. Goel is dedicated to fostering industry-academia collaborations and has organized numerous workshops and seminars. He is also involved in various training programs, MOOCs, and NPTEL certifications, contributing significantly to the advancement of education and research in his field.
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