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

2024-08-22 Business & Economics
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Release : 2024-08-22
Genre : Business & Economics
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Book Rating : /5 ( reviews)

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Book Synopsis Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning by : Goel, Pawan Kumar

Download or read book Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning written by Goel, Pawan Kumar. This book was released on 2024-08-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Strategies for E-Commerce Data Security

2024-08-22 Business & Economics
Download Strategies for E-Commerce Data Security PDF Online Free

Author :
Release : 2024-08-22
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Strategies for E-Commerce Data Security by : Pawan Kumar Goel

Download or read book Strategies for E-Commerce Data Security written by Pawan Kumar Goel. This book was released on 2024-08-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Strategic Innovations of AI and ML for E-Commerce Data Security

2024-09-13 Business & Economics
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Release : 2024-09-13
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Strategic Innovations of AI and ML for E-Commerce Data Security by : Kaur, Gaganpreet

Download or read book Strategic Innovations of AI and ML for E-Commerce Data Security written by Kaur, Gaganpreet. This book was released on 2024-09-13. Available in PDF, EPUB and Kindle. Book excerpt: As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.

Next-Generation Cybersecurity

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Kind : eBook
Book Rating : 491/5 ( reviews)

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Book Synopsis Next-Generation Cybersecurity by : Keshav Kaushik

Download or read book Next-Generation Cybersecurity written by Keshav Kaushik. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Blockchain and Other Emerging Technologies for Digital Business Strategies

2022-05-03 Business & Economics
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Release : 2022-05-03
Genre : Business & Economics
Kind : eBook
Book Rating : 254/5 ( reviews)

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Book Synopsis Blockchain and Other Emerging Technologies for Digital Business Strategies by : Hamid Jahankhani

Download or read book Blockchain and Other Emerging Technologies for Digital Business Strategies written by Hamid Jahankhani. This book was released on 2022-05-03. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explore the aspects of strategic leadership in a digital context together with the cyber-physical relationships whilst performing business activities. Furthermore, this book looks to investigate the interactions from both the organization strategy including the cross-functional actors/stakeholders whom are operating within the organization and the various characteristics of operating in a cyber secure ecosystem. The book provides a valuable reference for IT directors, strategic leaders, cybersecurity experts, network security professionals. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cybersecurity. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programs in cybersecurity, network security and computer science. Each chapter is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.

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