Integrating Artificial Intelligence And Machine Learning With Blockchain Security

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Integrating Artificial Intelligence And Machine Learning With Blockchain Security
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Author : D. Jeya Mala
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2023-09-13
Integrating Artificial Intelligence And Machine Learning With Blockchain Security written by D. Jeya Mala and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Computers categories.
Due to its transparency and dependability in secure online transactions, blockchain technology has grown in prominence in recent years. Several industries, including those of finance, healthcare, energy and utilities, manufacturing, retail marketing, entertainment and media, supply chains, e-commerce, and e-business, among others, use blockchain technology. In order to enable intelligent decision-making to prevent security assaults, particularly in permission-less blockchain platforms, artificial intelligence (AI) techniques and machine learning (ML) algorithms are used. By exploring the numerous use cases and security methods used in each of them, this book offers insight on the application of AI and ML in blockchain security principles. The book argues that it is crucial to include artificial intelligence and machine learning techniques in blockchain technology in order to increase security.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Integrating Blockchain And Artificial Intelligence For Industry 4 0 Innovations
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Author : Sam Goundar
language : en
Publisher: Springer Nature
Release Date : 2023-10-03
Integrating Blockchain And Artificial Intelligence For Industry 4 0 Innovations written by Sam Goundar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-03 with Technology & Engineering categories.
This book discusses the convergence of artificial intelligence (AI) and Blockchain and how they can work together to help reach the goals of Industry 4.0. The authors first discuss how AI and Blockchain can help increase performance in business. The authors go on to discuss how the technologies can integrate to provide a competitive edge for businesses through improvements in big data, which has allowed firms to organize huge datasets into structured components that computers can process quickly. The authors also cover security implications and how AI and Blockchain can act as a double-edged sword against cyber-attacks. Impacts in programming, calculations, robotization, robots, and equipment are also discussed. This book caters to an extensive cross-sectional and multi-disciplinary readership. Academics, researchers and their students in topics such as artificial intelligence, cyber-physical systems, ethics, robotics, safety engineering, and safety-critical systems should find the book of value.
Artificial Intelligence
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Author : Marco Antonio Aceves-Fernandez
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-06-27
Artificial Intelligence written by Marco Antonio Aceves-Fernandez and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Computers categories.
Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.
Proceedings Of The 6th International Conference On Deep Learning Artificial Intelligence And Robotics Icdlair 2024
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Author : Priyanka Ahlawat
language : en
Publisher: Springer Nature
Release Date : 2025-07-26
Proceedings Of The 6th International Conference On Deep Learning Artificial Intelligence And Robotics Icdlair 2024 written by Priyanka Ahlawat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Computers categories.
This is an open access book. The proposed conference ICDLAIR 2024 represents key ingredients for the 5G. The extensive application of AI and DL is dramatically changing products and services, with a large impact on labour, economy and society at all. ICDLAIR 2024, organized by NIT Kurukshetra, India in collaboration with International Association of Academicians (IAASSE), Emlyon Business School France and CSUSB USA, aims at collecting scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations. Through sharing and networking, ICDLAIR 2024 will provide an opportunity for researchers, practitioners and educators to exchange research evidence, practical experiences and innovative ideas on issues related to the Conference theme. ICDLAIR 2024 intends to publish the post-conference work in order to give authors the opportunity to collect feedback during the presentation.
Artificial Intelligence And Blockchain For Future Cybersecurity Applications
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Author : Yassine Maleh
language : en
Publisher: Springer
Release Date : 2022-05-02
Artificial Intelligence And Blockchain For Future Cybersecurity Applications written by Yassine Maleh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-02 with Computers categories.
This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0
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Author : Nitin Liladhar Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2024-10-14
Artificial Intelligence Machine Learning And Deep Learning For Sustainable Industry 5 0 written by Nitin Liladhar Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Computers categories.
This book offers an insight into the applications of Artificial Intelligence (AI)- Machine Learning Algorithms and Deep Learning (DL) in Bigdata Analytics to Industry 4.0/5.0 and Society 5.0 with transformative power responsibly. It has delved into how these technologies are disrupting industries, fostering innovation, and solving age-old social problems-so that readers have an understanding of where the digital world is headed. These chapters cover the big picture subjects of using AI with Big data analytics aimed mostly at increasing industrial efficiency, healthcare optimization, retail transformation, construction industry transformation, autonomous vehicles development and environmental sustainability improvement. The book covers each of these technologies extensively applied to full chapters devoted to detail studies, methodologies and practical usages. One of the central concepts in the book is how we evolve from industry 4.0 to industry 5.0. Therefore, Industry 4.0 relies on the automation and data exchange in manufacturing technologies using cyber-physical systems, the Internet of Things and cloud computing route to intelligent factories. During this phase, it improves operational efficiency, predictive maintenance and real-time monitoring which lowers down time and other operating costs by considerable amount. As industries move towards Industry 5.0, a lot has been noted-human-oriented solutions that combine human creativity and intelligence with highly automated and distributed technological tools. More cooperation between humans and machines during such times will, therefore, result in more customized production aimed at sustainable processes. The book details how, thanks to digital twins-that is, innumerable virtual replicas of physical systems-the further step is taken, allowing for real-time data analysis and, consequently innovative ways of manufacturing where the interests of the workers and customers come first. The present book discusses how AI and big data analytics transcend industrial applications to meet more societal ends as society ushers in its fifth revolution. Society 5.0 postulates that a super-smart digital society will drive transformation in all aspects of life, ranging from health and education to planning urban resources and infrastructure and ensuring public safety. The combination of AI with Big Data makes personalized healthcare services possible, competent resource planning in cities, and environmental sustainability in place via predictive analytics or simulation models. One such industry in which significant changes are coming, according to AI and Big Data analytics, is healthcare. This book shows how these technologies improve diagnostic accuracy, enable personalized treatment plans, and optimize resource allocations. Predictive insights can predict outbreaks and admissions, which helps better preparedness against diseases and also optimizes health resource utilization. AI in medical imaging and anomaly detection strengthens the efficiency of professional health experts, thus delivering better patient outcomes. AI and big data analytics have further remodelled the retail industry by providing retailers profound insights into consumer behaviour and preferences. With this information, retailers can adopt person-segmented marketing techniques and optimize inventory levels while enabling high levels of customer service using AI-fuelled chatbots and virtual assistants. These technologies help retailers stay competitive in an ever-developing market environment by offering solutions structured based on individual needs expressed by customers. AI and big data analytics combine to form one synergy connected with autonomous vehicles. It further goes on to discuss the huge amount of data needed for training these AI models and big data analytics in refining the accuracy and safety of autonomous driving systems. Another critical area in which AI and Big Data Analytics make a considerable impact is environmental sustainability. By applying these analyses to large data sets relating to climatic changes, energy consumption, and natural resources, AI models can establish trends and recognize patterns indicating future changes. This predictive ability equips organizations and governments with tools to develop lower environmental footprints and promote sustainable practices proactively. It further explains AI-enabled energy management systems that drive optimized energy use in buildings to reduce carbon emissions and save on associated costs. This certainly looks like something for a vast readership: it speaks more to academics, professionals working in the industry, and decision-makers-but, really, to anybody who seeks to grasp the transformative powerfulness of AI and big data analytics. This source will provide information on overall guidance and a rich source of inspiration in using these technologies to enable innovation and sustainable development across different sectors. Actual case examples and practical applications are given to convey the knowledge and elements that readers need to know as they go about using AI and big data analytics. This book also includes discussions concerning the dynamic policy and regulatory scenes of AI, pointing out that it is necessary to have standard policies that should be implemented to have ethical deployment of AI that reduces risks. This book also focuses on challenges in implementing AI for intelligent and sustainable industries, meaning technical, ethical, and operational barriers. It outlines high costs, low-quality data, and the need for skilled professionals; ethical concerns and robust cybersecurity measures become necessary. As such, this book will engross an audience ranging from academics to industry professionals and policymakers working toward understanding and using AI and big data for sustainable development and technological advancement.
Revolutionizing Cybersecurity With Deep Learning And Large Language Models
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Revolutionizing Cybersecurity With Deep Learning And Large Language Models written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.
Ai And Blockchain Applications For Privacy And Security In Smart Medical Systems
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Author : Ahad, Abdul
language : en
Publisher: IGI Global
Release Date : 2025-04-30
Ai And Blockchain Applications For Privacy And Security In Smart Medical Systems written by Ahad, Abdul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Medical categories.
Medical systems have evolved over time to enhance healthcare efficiency and patient outcomes. To revolutionize privacy and security organizations must integrate AI and blockchain technologies. AI analytics optimize diagnostics, treatment planning, and real-time monitoring, while blockchain ensures tamper-proof data integrity, secures patient records, and ensures transparent transactions. With both technologies working together, it addresses critical challenges like data breaches, unauthorized personnel, and inoperability issues in healthcare networks. Applying AI and blockchain applications to security frameworks and medical systems can offer efficient privacy and trustworthy digital systems. AI and Blockchain Applications for Privacy and Security in Smart Medical Systems explores the integration of AI, blockchain, smart technologies, and communication systems in modern healthcare. It examines how these applications can enhance security, privacy, data integrity, and operational efficiency in healthcare systems. This book covers topics such as smart AI, blockchain, and healthcare technologies, and is an excellent resource for academic professionals, healthcare technologists, and medical practitioners.