Strategies for e-commerce data security:
"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...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Series: | Advances in web technologies and engineering (AWTE) book series.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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."-- |
| Physical Description: | 29 PDFs (xxxviii, 657 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369365595 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Strategies for e-commerce data security |c Pawan Kumar Goel, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 29 PDFs (xxxviii, 657 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in web technologies and engineering (AWTE) book series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Acknowledgment -- Chapter 1. A Comprehensive Review on Artificial Intelligence in Digital Forensics With Taxonomies, Issues, and Solutions: AI in Digital Forensics -- Chapter 2. AI and Machine Learning in E-Commerce Security: Emerging Trends and Practices -- Chapter 3. Analyzing the Effect of Digital Technology on Mental Health -- Chapter 4. Artificial Intelligence in E-Commerce: Protecting Data and Privacy -- Chapter 5. Cloud Security for E-Commerce: Navigating Risks and Implementing Solutions -- Chapter 6. Cybersecurity Strategies for E-Commerce: Best Practices and Case Studies -- Chapter 7. Demystifying the World of Blockchain Startups: Scope and Opportunities in India -- Chapter 8. Enhancing Land Governance Through Decentralized Land Record System on Blockchain -- Chapter 9. Executive Strategies for Implementing Advanced E-Commerce Security Technologies -- Chapter 10. Harnessing Machine Learning and Blockchain in E-Commerce and Beyond: Advantages, Frameworks, and Implementation -- Chapter 11. Leadership in E-Commerce Security: Managing Risks and Innovations -- Chapter 12. Introduction to AI and ML Technologies and Their Potential Applications in Cybersecurity -- Chapter 13. Harnessing Cloud Technologies for Secure E-Commerce -- Chapter 14. Blockchain for E-Commerce: Revolutionizing Security and Trust -- Chapter 15. Machine Learning Algorithms for E-Commerce Security: A Practical Approach -- Chapter 16. Securing E-Commerce Data in a Multi-Cloud Environment: Challenges and Solutions -- Chapter 17. Unraveling Financial Fraud With AI and Machine Learning: Screening Into Ad Clicks, Credit Card Management, and E-Commerce Transactions -- Chapter 18. The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention -- Chapter 19. Securing E-Commerce Strategies With Cloud, Blockchain, AI, and ML -- Chapter 20. Understanding Cybersecurity Threats in E-Commerce -- Chapter 21. Blockchain Innovations for Secure Online Transactions -- Chapter 22. Data Encryption and Secure Communication Protocols -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "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."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/30/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Financial applications. | |
| 650 | 0 | |a Blockchains (Databases) |x Security measures. | |
| 650 | 0 | |a Data encryption (Computer science) | |
| 650 | 0 | |a Data protection. | |
| 650 | 0 | |a Data security. | |
| 650 | 0 | |a Electronic commerce |x Security measures. | |
| 653 | |a Accounting and Finance. | ||
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Blockchain. | ||
| 653 | |a Cloud Technology. | ||
| 653 | |a Cybersecurity. | ||
| 653 | |a Data Security. | ||
| 653 | |a Digital Technology. | ||
| 653 | |a E-Commerce. | ||
| 653 | |a Forensics. | ||
| 653 | |a Fraud Detection and Management. | ||
| 653 | |a Land Governance. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Privacy and Security. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Goel, Pawan Kumar |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369365571 |
| 830 | 0 | |a Advances in web technologies and engineering (AWTE) book series. | |
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| contents | Preface -- Acknowledgment -- Chapter 1. A Comprehensive Review on Artificial Intelligence in Digital Forensics With Taxonomies, Issues, and Solutions: AI in Digital Forensics -- Chapter 2. AI and Machine Learning in E-Commerce Security: Emerging Trends and Practices -- Chapter 3. Analyzing the Effect of Digital Technology on Mental Health -- Chapter 4. Artificial Intelligence in E-Commerce: Protecting Data and Privacy -- Chapter 5. Cloud Security for E-Commerce: Navigating Risks and Implementing Solutions -- Chapter 6. Cybersecurity Strategies for E-Commerce: Best Practices and Case Studies -- Chapter 7. Demystifying the World of Blockchain Startups: Scope and Opportunities in India -- Chapter 8. Enhancing Land Governance Through Decentralized Land Record System on Blockchain -- Chapter 9. Executive Strategies for Implementing Advanced E-Commerce Security Technologies -- Chapter 10. Harnessing Machine Learning and Blockchain in E-Commerce and Beyond: Advantages, Frameworks, and Implementation -- Chapter 11. Leadership in E-Commerce Security: Managing Risks and Innovations -- Chapter 12. Introduction to AI and ML Technologies and Their Potential Applications in Cybersecurity -- Chapter 13. Harnessing Cloud Technologies for Secure E-Commerce -- Chapter 14. Blockchain for E-Commerce: Revolutionizing Security and Trust -- Chapter 15. Machine Learning Algorithms for E-Commerce Security: A Practical Approach -- Chapter 16. Securing E-Commerce Data in a Multi-Cloud Environment: Challenges and Solutions -- Chapter 17. Unraveling Financial Fraud With AI and Machine Learning: Screening Into Ad Clicks, Credit Card Management, and E-Commerce Transactions -- Chapter 18. The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention -- Chapter 19. Securing E-Commerce Strategies With Cloud, Blockchain, AI, and ML -- Chapter 20. Understanding Cybersecurity Threats in E-Commerce -- Chapter 21. Blockchain Innovations for Secure Online Transactions -- Chapter 22. Data Encryption and Secure Communication Protocols -- Compilation of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00006674 (OCoLC)1455223441 |
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| dewey-raw | 658.478 |
| dewey-search | 658.478 |
| dewey-sort | 3658.478 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00344797 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369365595 |
| language | English |
| oclc_num | 1455223441 |
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| physical | 29 PDFs (xxxviii, 657 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| series | Advances in web technologies and engineering (AWTE) book series. |
| series2 | Advances in web technologies and engineering (AWTE) book series |
| spelling | Strategies for e-commerce data security Pawan Kumar Goel, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 29 PDFs (xxxviii, 657 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Advances in web technologies and engineering (AWTE) book series Includes bibliographical references and index. Preface -- Acknowledgment -- Chapter 1. A Comprehensive Review on Artificial Intelligence in Digital Forensics With Taxonomies, Issues, and Solutions: AI in Digital Forensics -- Chapter 2. AI and Machine Learning in E-Commerce Security: Emerging Trends and Practices -- Chapter 3. Analyzing the Effect of Digital Technology on Mental Health -- Chapter 4. Artificial Intelligence in E-Commerce: Protecting Data and Privacy -- Chapter 5. Cloud Security for E-Commerce: Navigating Risks and Implementing Solutions -- Chapter 6. Cybersecurity Strategies for E-Commerce: Best Practices and Case Studies -- Chapter 7. Demystifying the World of Blockchain Startups: Scope and Opportunities in India -- Chapter 8. Enhancing Land Governance Through Decentralized Land Record System on Blockchain -- Chapter 9. Executive Strategies for Implementing Advanced E-Commerce Security Technologies -- Chapter 10. Harnessing Machine Learning and Blockchain in E-Commerce and Beyond: Advantages, Frameworks, and Implementation -- Chapter 11. Leadership in E-Commerce Security: Managing Risks and Innovations -- Chapter 12. Introduction to AI and ML Technologies and Their Potential Applications in Cybersecurity -- Chapter 13. Harnessing Cloud Technologies for Secure E-Commerce -- Chapter 14. Blockchain for E-Commerce: Revolutionizing Security and Trust -- Chapter 15. Machine Learning Algorithms for E-Commerce Security: A Practical Approach -- Chapter 16. Securing E-Commerce Data in a Multi-Cloud Environment: Challenges and Solutions -- Chapter 17. Unraveling Financial Fraud With AI and Machine Learning: Screening Into Ad Clicks, Credit Card Management, and E-Commerce Transactions -- Chapter 18. The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention -- Chapter 19. Securing E-Commerce Strategies With Cloud, Blockchain, AI, and ML -- Chapter 20. Understanding Cybersecurity Threats in E-Commerce -- Chapter 21. Blockchain Innovations for Secure Online Transactions -- Chapter 22. Data Encryption and Secure Communication Protocols -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "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."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/30/2024). Artificial intelligence Financial applications. Blockchains (Databases) Security measures. Data encryption (Computer science) Data protection. Data security. Electronic commerce Security measures. 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. Electronic books. Goel, Pawan Kumar editor. IGI Global, publisher. Print version: 9798369365571 Advances in web technologies and engineering (AWTE) book series. |
| spellingShingle | Strategies for e-commerce data security Advances in web technologies and engineering (AWTE) book series. Preface -- Acknowledgment -- Chapter 1. A Comprehensive Review on Artificial Intelligence in Digital Forensics With Taxonomies, Issues, and Solutions: AI in Digital Forensics -- Chapter 2. AI and Machine Learning in E-Commerce Security: Emerging Trends and Practices -- Chapter 3. Analyzing the Effect of Digital Technology on Mental Health -- Chapter 4. Artificial Intelligence in E-Commerce: Protecting Data and Privacy -- Chapter 5. Cloud Security for E-Commerce: Navigating Risks and Implementing Solutions -- Chapter 6. Cybersecurity Strategies for E-Commerce: Best Practices and Case Studies -- Chapter 7. Demystifying the World of Blockchain Startups: Scope and Opportunities in India -- Chapter 8. Enhancing Land Governance Through Decentralized Land Record System on Blockchain -- Chapter 9. Executive Strategies for Implementing Advanced E-Commerce Security Technologies -- Chapter 10. Harnessing Machine Learning and Blockchain in E-Commerce and Beyond: Advantages, Frameworks, and Implementation -- Chapter 11. Leadership in E-Commerce Security: Managing Risks and Innovations -- Chapter 12. Introduction to AI and ML Technologies and Their Potential Applications in Cybersecurity -- Chapter 13. Harnessing Cloud Technologies for Secure E-Commerce -- Chapter 14. Blockchain for E-Commerce: Revolutionizing Security and Trust -- Chapter 15. Machine Learning Algorithms for E-Commerce Security: A Practical Approach -- Chapter 16. Securing E-Commerce Data in a Multi-Cloud Environment: Challenges and Solutions -- Chapter 17. Unraveling Financial Fraud With AI and Machine Learning: Screening Into Ad Clicks, Credit Card Management, and E-Commerce Transactions -- Chapter 18. The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention -- Chapter 19. Securing E-Commerce Strategies With Cloud, Blockchain, AI, and ML -- Chapter 20. Understanding Cybersecurity Threats in E-Commerce -- Chapter 21. Blockchain Innovations for Secure Online Transactions -- Chapter 22. Data Encryption and Secure Communication Protocols -- Compilation of References -- About the Contributors -- Index. Artificial intelligence Financial applications. Blockchains (Databases) Security measures. Data encryption (Computer science) Data protection. Data security. Electronic commerce Security measures. |
| title | Strategies for e-commerce data security |
| title_auth | Strategies for e-commerce data security |
| title_exact_search | Strategies for e-commerce data security |
| title_full | Strategies for e-commerce data security Pawan Kumar Goel, editor. |
| title_fullStr | Strategies for e-commerce data security Pawan Kumar Goel, editor. |
| title_full_unstemmed | Strategies for e-commerce data security Pawan Kumar Goel, editor. |
| title_short | Strategies for e-commerce data security |
| title_sort | strategies for e commerce data security |
| topic | Artificial intelligence Financial applications. Blockchains (Databases) Security measures. Data encryption (Computer science) Data protection. Data security. Electronic commerce Security measures. |
| topic_facet | Artificial intelligence Financial applications. Blockchains (Databases) Security measures. Data encryption (Computer science) Data protection. Data security. Electronic commerce Security measures. Electronic books. |
| work_keys_str_mv | AT goelpawankumar strategiesforecommercedatasecurity AT igiglobal strategiesforecommercedatasecurity |