[PDF] Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning - eBooks Review

Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning


Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning
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Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning


Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning
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Author : Goel, Pawan Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-22

Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning written by Goel, Pawan Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Business & Economics categories.


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.



Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention


Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention
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Author : Almaiah, Mohammed Amin
language : en
Publisher: IGI Global
Release Date : 2025-04-16

Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention written by Almaiah, Mohammed Amin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.


Artificial intelligence (AI) revolutionizes how organizations protect their digital information against cyber threats. Traditional security methods are often insufficient when faced with sophisticated attacks. AI-powered systems utilize machine learning, deep learning, and advanced analytics to detect patterns, identify anomalies, and predict potential threats in real time. By analyzing network traffic and mobile device behavior, AI can recognize and respond to malicious activity before it causes harm. This proactive approach enhances security protocols, reduces human error, and strengthens defenses against a wide range of cyberattacks, from malware to data breaches. Further research may reveal AI as an indispensable tool for securing networks and mobile environments, providing smarter, more adaptive solutions for threat detection and prevention. Utilizing AI in Network and Mobile Security for Threat Detection and Prevention explores the role of AI in enhancing cybersecurity measures. It examines AI techniques in anomaly and intrusion detection, machine learning for malware analysis and detection, predictive analytics to cybersecurity scenarios, and ethical considerations in AI. This book covers topics such as ethics and law, machine learning, and data science, and is a useful resource for computer engineers, data scientists, security professionals, academicians, and researchers.



Strategic Innovations Of Ai And Ml For E Commerce Data Security


Strategic Innovations Of Ai And Ml For E Commerce Data Security
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Author : Kaur, Gaganpreet
language : en
Publisher: IGI Global
Release Date : 2024-09-13

Strategic Innovations Of Ai And Ml For E Commerce Data Security written by Kaur, Gaganpreet and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Business & Economics categories.


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.



6g Impacts On Natural Habitats And Human Life


6g Impacts On Natural Habitats And Human Life
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Author : Haque, Shameemul
language : en
Publisher: IGI Global
Release Date : 2025-05-01

6g Impacts On Natural Habitats And Human Life written by Haque, Shameemul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.


6G technology promises advancements in energy efficiency and sustainable industrial manufacturing for smart cities. It also has the potential to optimize operations by streamlining processes and managing energy consumption but may come with ecological and social costs. 6G infrastructure encourages higher energy usage and increases the amount of electronic waste and radiation, which may have a negative impact on wildlife and their natural habitats. Additionally, society may also be threatened by automation, taking jobs from humans and subjecting them to health risks from increased radiation exposure. Therefore, 6G must be deployed responsibly, striving towards greater technological, environmental, and economic sustainability. 6G Impacts on Natural Habitats and Human Life highlights the positives of 6G technological advancement and its negative impact on natural habitats. It raises concerns about sustainability in terms of technology use, nature conservation, and humanity. Covering topics such as human life management, eco-intelligence, and climate change mitigation, this book is an excellent resource for technologists, business leaders, sustainability scientists, sociologists, biologists, ecologists, researchers, academicians, and more.



Harnessing Ai Blockchain And Cloud Computing For Enhanced E Government Services


Harnessing Ai Blockchain And Cloud Computing For Enhanced E Government Services
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Author : Lytras, Miltiadis Demetrios
language : en
Publisher: IGI Global
Release Date : 2024-12-26

Harnessing Ai Blockchain And Cloud Computing For Enhanced E Government Services written by Lytras, Miltiadis Demetrios and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Political Science categories.


The integration of artificial intelligence (AI), blockchain, and cloud computing revolutionizes the way governments deliver services to citizens, creating new opportunities for efficient, transparent, and secure e-government solutions. AI can streamline decision-making and automate processes for personalized services, citizen need prediction, and optimized resource allocation. Blockchain technology offers enhanced security and accountability, while cloud computing provides the scalability and flexibility needed to store and process vast amounts of data. By harnessing the power of these technologies, governments can improve service delivery, reduce operational costs, and foster greater citizen engagement, driving the digital transformation of public sector functions and contributing to responsive, inclusive, and efficient governance. Further exploration of these technologies integration in government may provide insights into their role in enhancing public service delivery, citizen engagement, and administrative efficiency. Harnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services delves into the transformative potential of modern technologies in reshaping government services. It explores how AI, blockchain, and cloud computing are driving the evolution of e-government, enabling more efficient, transparent, and value-added services across various public sectors. efficiency. This book covers topics such as political science, cybersecurity, and public sectors, and is a useful resource for data scientists, computer engineers, government officials, policymakers, business owners, researchers, and academicians.



Quantum Computing Cyber Security And Cryptography


Quantum Computing Cyber Security And Cryptography
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Author : S. B. Goyal
language : en
Publisher: Springer Nature
Release Date : 2025-08-20

Quantum Computing Cyber Security And Cryptography written by S. B. Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.


This book examines the fundamentals of quantum computing and its applications in codebreaking and hacking, as well as strategies and technologies for defending systems against quantum attacks. It brings together leading experts from across academia and industry to provide a comprehensive overview of the impacts of quantum computing on cybersecurity and cryptography. As quantum computers become more powerful and practical in the coming years, they pose a serious threat to current encryption and cybersecurity methods which rely on computational difficulty. The book provides readers with a holistic understanding of the quantum computing landscape and its implications on information security. The chapters cover the foundational concepts of quantum mechanics and key quantum algorithms relevant to cryptography and cybersecurity. Detailed discussions on quantum cryptanalysis, post-quantum cryptography, quantum key distribution, and quantum random number generation equip readers with technical knowledge of quantum-safe cryptosystems. Practical topics such as quantum programming, software tools, and implementation of quantum-resistant solutions in different sectors like finance, healthcare, and the Internet of Things provide actionable insights for organizations. The book concludes with an analysis of collaborative strategies, policies and future research directions to foster innovation in quantum-safe cybersecurity. Overall, this book serves as an essential reference for security professionals, researchers, students, and technology leaders interested in preparing systems and data for the quantum computing era.



Ai Methods For Environmental Protection And Resource Conservation


Ai Methods For Environmental Protection And Resource Conservation
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Author : Ben Ltaifa, Monia
language : en
Publisher: IGI Global
Release Date : 2025-05-08

Ai Methods For Environmental Protection And Resource Conservation written by Ben Ltaifa, Monia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Technology & Engineering categories.


AI methods are harnessed for environmental protection and resource conservation, offering innovative solutions to some of the world’s most pressing ecological challenges. From monitoring biodiversity and predicting climate change impacts to optimizing energy consumption and managing waste, AI enables more efficient, data-driven decision-making. Machine learning algorithms analyze large datasets from satellite imagery, sensors, and environmental models to detect deforestation, pollution levels, and the health of ecosystems. AI-powered systems can improve resource management by forecasting demand and consumption patterns, enhancing the sustainability of water, energy, and agricultural systems. By automating processes, identifying trends, and proposing actionable insights, AI may empower governments, organizations, and individuals to implement more effective conservation strategies. AI Methods for Environmental Protection and Resource Conservation explores the role of intelligent technology in environmental science. It examines how artificial intelligence assists in conservation, deforestation monitoring, weather forecasting, CO2 removal, and sustainable transportation. This book covers topics such as big data, energy engineering, and sustainable development, and is a useful resource for engineers, business owners, academicians, researchers, and environmental scientists.



Energy Efficient Algorithms And Green Data Centers For Sustainable Computing


Energy Efficient Algorithms And Green Data Centers For Sustainable Computing
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Author : Beslin Pajila, P.J.
language : en
Publisher: IGI Global
Release Date : 2025-04-16

Energy Efficient Algorithms And Green Data Centers For Sustainable Computing written by Beslin Pajila, P.J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.


As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient Algorithms and Green Data Centers for Sustainable Computing explores sustainable computing, including advancements in energy efficient algorithms and green data center strategies. It addresses the environmental challenges and increasing energy demands of modern computing. This book covers topics such as energy efficient algorithms, green data centers, and sustainability metrics and assessments, and is an excellent resource for researchers, academicians, data scientists, environmental scientists, software developers, and technology entrepreneurs.



Exploiting Machine Learning For Robust Security


Exploiting Machine Learning For Robust Security
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Author : Minakshi
language : en
Publisher: IGI Global
Release Date : 2025-04-16

Exploiting Machine Learning For Robust Security written by Minakshi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.


In the digital world, ensuring robust security is critical as cyber threats become more sophisticated and pervasive. Machine learning can be used to strengthen cybersecurity and offer dynamic solutions that can identify, predict, and mitigate potential risks with unprecedented accuracy. By analyzing vast amounts of data, detecting patterns, and adapting to evolving threats, machine learning enables security systems to autonomously respond to anomalies and protect sensitive information in real-time. As technology advances, the integration of machine learning into security systems represents a critical step towards creating adaptive protection against the complex challenges of modern cybersecurity. Further research into the potential of machine learning in enhancing security protocols may highlight its ability to prevent cyberattacks, detect vulnerabilities, and ensure resilient defenses. Exploiting Machine Learning for Robust Security explores the world of machine learning, discussing the darknet of threat detection and vulnerability assessment, malware analysis, and predictive security analysis. Using case studies, it explores machine learning for threat detection and bolstered online defenses. This book covers topics such as anomaly detection, threat intelligence, and machine learning, and is a useful resource for engineers, security professionals, computer scientists, academicians, and researchers.



Convergence Of Blockchain Internet Of Everything And Federated Learning For Security


Convergence Of Blockchain Internet Of Everything And Federated Learning For Security
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Author : Ullah, Fasee
language : en
Publisher: IGI Global
Release Date : 2025-05-13

Convergence Of Blockchain Internet Of Everything And Federated Learning For Security written by Ullah, Fasee and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.


The convergence of blockchain, the Internet of Everything (IoE), and federated learning paves the way for enhanced security in digital ecosystems. Blockchain offers decentralized, tamper-proof solutions that ensure data integrity, while the IoE connects smart devices, generating large amounts of data that require robust protection. Federated learning allows models to be trained locally on edge devices without transferring sensitive data to centralized servers, minimizing exposure to cyber threats. These technologies strengthen privacy and data security while enabling more efficient, scalable, and resilient systems. Further research into the potential of these technologies may redefine how security is managed, ensuring a safer environment for individuals and organizations. Convergence of Blockchain, Internet of Everything, and Federated Learning for Security explores the convergence of blockchain, IoEs, federated learning, and cybersecurity, highlighting their relevance in the modern digital landscape. It examines the importance of these technologies in addressing security challenges and enhancing data privacy in interconnected systems. This book covers topics such as cryptography, machine learning, and smart grids, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.