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

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

Release Date: August, 2024|Copyright: © 2024 |Pages: 695
DOI: 10.4018/979-8-3693-6557-1
ISBN13: 9798369365571|ISBN13 Softcover: 9798369365588|EISBN13: 9798369365595
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Description & Coverage
Description:

In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business.

Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Accounting and Finance
  • Artificial Intelligence
  • Blockchain
  • Cloud Technology
  • Cybersecurity
  • Data Security
  • Digital Technology
  • E-Commerce
  • Forensics
  • Fraud Detection and Management
  • Land Governance
  • Machine Learning
  • Privacy and Security
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Editor/Author Biographies
Pawan Kr. Goel is an 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 IEEE, 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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