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Author: Goel, Pawan Kumar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 689
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Book 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.
Author: Goel, Pawan Kumar
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 689
Get Book Here
Book 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.
Author: Pawan Kumar Goel
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book 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.
Author: Kaur, Gaganpreet
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 498
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Book Description
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.
Author:
Publisher: Cybellium
ISBN: 1836797877
Category :
Languages : en
Pages : 270
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Book Description
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Yaz?c?, Ay?e Meriç
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 452
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Book Description
The changing digital landscape has many organizations grappling with the challenge of adapting to unprecedented changes and innovation. The absence of a universally accepted definition of digital strategy exacerbates the complexity, leaving leaders uncertain about how to navigate this journey. Inertia becomes an untenable response to the urgent questions organizations face in a digitized worldhow to seize digital opportunities, mitigate threats, and transform traditional values into digital assets. New Strategy Models in Digital Entrepreneurship emerges as the definitive solution for academic scholars seeking clarity and guidance in the realm of digital strategy. The book offers a comprehensive collection of papers that explore traditional paradigms, contemporary approaches, and innovative research methodologies. It serves as a beacon for practitioners, academicians, postgraduate and undergraduate students, and librarians, providing a roadmap for formulating and executing robust digital strategies. From theoretical foundations to the application of innovative business models, the book presents a holistic approach to navigating the complexities of digital transformation.
Author: Hamid Jahankhani
Publisher: Springer Nature
ISBN: 3030982254
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
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.
Author:
Publisher: Cybellium
ISBN: 1836797680
Category :
Languages : en
Pages : 226
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Book Description
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Author: Jun Xu
Publisher: World Scientific
ISBN: 9811231850
Category : Computers
Languages : en
Pages : 411
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Book Description
In the world of internet, wide adoption of computing devices dramatically reduces storage costs with easy access to huge amount of data, thus posing benefits and challenges to e-business amongst organizations.This unique compendium covers current status and practices of e-business among organizations, their challenges and future directions. It also includes studies of different perspectives and markets of e-business.The must-have volume will be a good reference text for professionals and organizations who are updating their e-business knowledge/skills and planning their e-business initiatives.
Author: Taherdoost, Hamed
Publisher: IGI Global
ISBN: 166848370X
Category : Business & Economics
Languages : en
Pages : 350
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Book Description
Money is no longer limited to physical currency or credit and debit cards; however, cryptocurrencies are emerging due to recent technological advancements. Financial markets have been revolutionized as a result of innovative technological trends. It seems that there is no way to evade embracing new trends in the financial markets; without them, we will be destined to fail. Mainstreaming Cryptocurrency and the Future of Digital Finance provides an overview of the advantages and disadvantages of current cryptocurrency-based payment methods aiming to leverage technology to create better financial services in different businesses. The book also discusses fintech, the cryptocurrency market, trading tips and techniques, brokers and how they work, digital wallets, analytical tools to pick cryptocurrencies, and risk management methods to leverage a secure investment in cryptocurrencies. Covering key topics such as digital money, trading, and financial technologies, this premier reference source is ideal for managers, business owners, industry professionals, researchers, academicians, scholars, instructors, and students.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
