Ai And Machine Learning For Network And Security Management
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Ai And Machine Learning For Network And Security Management
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Author : Yulei Wu
language : en
Publisher: John Wiley & Sons
Release Date : 2022-10-28
Ai And Machine Learning For Network And Security Management written by Yulei Wu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-28 with Computers categories.
AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.
Ai And Machine Learning For Network And Security Management
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Author : Yulei Wu
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-08
Ai And Machine Learning For Network And Security Management written by Yulei Wu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-08 with Computers categories.
AI AND MACHINE LEARNING FOR NETWORK AND SECURITY MANAGEMENT Extensive Resource for Understanding Key Tasks of Network and Security Management AI and Machine Learning for Network and Security Management covers a range of key topics of network automation for network and security management, including resource allocation and scheduling, network planning and routing, encrypted traffic classification, anomaly detection, and security operations. In addition, the authors introduce their large-scale intelligent network management and operation system and elaborate on how the aforementioned areas can be integrated into this system, plus how the network service can benefit. Sample ideas covered in this thought-provoking work include: How cognitive means, e.g., knowledge transfer, can help with network and security management How different advanced AI and machine learning techniques can be useful and helpful to facilitate network automation How the introduced techniques can be applied to many other related network and security management tasks Network engineers, content service providers, and cybersecurity service providers can use AI and Machine Learning for Network and Security Management to make better and more informed decisions in their areas of specialization. Students in a variety of related study programs will also derive value from the work by gaining a base understanding of historical foundational knowledge and seeing the key recent developments that have been made in the field.
Artificial Intelligence And Machine Learning For Enhancing Resilience Concepts Applications And Future Directions
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Author :
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-01
Artificial Intelligence And Machine Learning For Enhancing Resilience Concepts Applications And Future Directions written by 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 2025-07-01 with Computers categories.
As contemporary societies face unprecedented challenges such as mounting mental health issues, environmental crises, and socioeconomic insecurity, the urgency of developing objective, scalable, and dynamic methodologies to study resilience has never been greater. This book arises at the intersection of cutting-edge technology and human insight. It focuses on the possibility for AI and ML to transform resilience assessment, prediction, and interventions across the individual, organizational, and ecological levels. The chapters included in this book represent an organized synthesis of cutting-edge science, pragmatic applications, and prospective potential. With machine learning algorithms to estimate psychological resilience and AI-based models for climate change adaptation and ecosystem management, this book demonstrates the rich innovations that are emerging at the cross-sector of technology and resilience science. Perhaps most importantly, this book does not gloss over the urgent ethical, technical, and regulatory issues that arise when AI is introduced to sensitive topics such as mental health and environmental management. Questions about data privacy, algorithmic bias, model interpretability, and equitable technology deployment are thoroughly investigated, providing lessons learned and suggestions for moving ahead. A significant strength of this work is its global focus. Showcasing work from contributors of various methodologies and regions provides the latest views on new methodologies, strategies for practical implementation, and on what still needs to be invented. This guarantees that the publication engages with the messy socio-cultural and environmental contexts in which these interventions work and that it doesn’t just mirror technological possibilities. For academicians, practitioners, technologists, and policymakers, this book is both a fundamental reference and an outlook resource. It provides: Holistic examination of AI and ML in the context of psychological, organizational, and ecological resilience. In-depth reviews on methodological innovations, such as deep learning, natural language processing, and sensor-based assessments. Unprecedented appraisals of barriers to implementation, with ethical and regulatory considerations. We trust that this book will inspire conversation, fuel innovation, and support a future in which technology supplements, rather than replaces, human ability to adapt, recover, and flourish. We encourage readers to critique the content, to reflect on how AI, ML, and resilience intersect in their particular contexts, and to join us in shaping a future where technological and human resilience evolve together.
Network Security Empowered By Artificial Intelligence
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Author : Yingying Chen
language : en
Publisher: Springer Nature
Release Date : 2024-06-25
Network Security Empowered By Artificial Intelligence written by Yingying Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-25 with Computers categories.
This book introduces cutting-edge methods on security in spectrum management, mobile networks and next-generation wireless networks in the era of artificial intelligence (AI) and machine learning (ML). This book includes four parts: (a) Architecture Innovations and Security in 5G Networks, (b) Security in Artificial Intelligence-enabled Intrusion Detection Systems. (c) Attack and Defense in Artificial Intelligence-enabled Wireless Systems, (d) Security in Network-enabled Applications. The first part discusses the architectural innovations and security challenges of 5G networks, highlighting novel network structures and strategies to counter vulnerabilities. The second part provides a comprehensive analysis of intrusion detection systems and the pivotal role of AI and machine learning in defense and vulnerability assessment. The third part focuses on wireless systems, where deep learning is explored to enhance wireless communication security. The final part broadens the scope, examining the applications of these emerging technologies in network-enabled fields. The advancement of AI/ML has led to new opportunities for efficient tactical communication and network systems, but also new vulnerabilities. Along this direction, innovative AI-driven solutions, such as game-theoretic frameworks and zero-trust architectures are developed to strengthen defenses against sophisticated cyber threats. Adversarial training methods are adopted to augment this security further. Simultaneously, deep learning techniques are emerging as effective tools for securing wireless communications and improving intrusion detection systems. Additionally, distributed machine learning, exemplified by federated learning, is revolutionizing security model training. Moreover, the integration of AI into network security, especially in cyber-physical systems, demands careful consideration to ensure it aligns with the dynamics of these systems. This book is valuable for academics, researchers, and students in AI/ML, network security, and related fields. It serves as a resource for those in computer networks, AI, ML, and data science, and can be used as a reference or secondary textbook.
The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John Macintyre
language : en
Publisher: Springer Nature
Release Date : 2021-10-27
The 2021 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John Macintyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-27 with Computers categories.
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
Artificial Intelligence And Cybersecurity
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Author : Tuomo Sipola
language : en
Publisher: Springer Nature
Release Date : 2022-12-07
Artificial Intelligence And Cybersecurity written by Tuomo Sipola and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-07 with Computers categories.
This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence. The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity. During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies. Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.
Sustainable Information Security In The Age Of Ai And Green Computing
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. 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 artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.
Networking Technologies For The 21st Century Advancing Connectivity And Communication
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-08
Networking Technologies For The 21st Century Advancing Connectivity And Communication written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Technology & Engineering categories.
In the ever-evolving realm of networking technologies, this book provides a comprehensive exploration of the advancements that have transformed the way we communicate and connect in the 21st century. Delving into the intricacies of fiber optics, wireless technologies, cloud computing, artificial intelligence, and more, this book offers a profound understanding of the underlying principles, applications, and future prospects of these groundbreaking innovations. The journey begins with an exploration of fiber optics, a revolutionary technology that has redefined data transmission with its unparalleled speed and boundless bandwidth. Discover the advantages of fiber optics, its diverse applications across industries, and the ongoing developments that promise even greater connectivity. Next, delve into the realm of wireless technologies, encompassing cellular networks, Wi-Fi, and emerging frontiers like 5G and LTE. Witness how these technologies have woven a seamless web of connectivity, enabling constant communication and empowering the Internet of Things (IoT) revolution. Comprehend the challenges and opportunities associated with wireless connectivity and its transformative impact on the way we live, work, and interact. Embrace the transformative power of cloud computing, a paradigm shift that has reshaped the storage, management, and access of data and applications. Uncover the fundamental concepts and benefits of cloud computing, exploring the different service models (IaaS, PaaS, SaaS) and their applications across various industries. Learn about the security considerations and challenges associated with cloud adoption, ensuring a secure and reliable cloud experience. In an increasingly digitalized world, cybersecurity has become a paramount concern. This book delves into the importance of cybersecurity, shedding light on common threats such as malware, phishing, and hacking. Explore the various cybersecurity measures organizations and individuals can implement to protect their data and systems, including encryption, firewalls, and access control. Discover the role of artificial intelligence in enhancing cybersecurity detection and response, paving the way for a more secure and resilient digital landscape. Witness the rise of the Internet of Things (IoT), a transformative technology that is connecting devices and objects to the internet, enabling them to communicate and exchange data. Understand the concepts, applications, and challenges associated with IoT, examining its impact on industries and society as a whole. Learn about the security and privacy concerns that accompany the proliferation of IoT devices and the necessary measures to mitigate these risks, ensuring a secure and responsible IoT ecosystem. Explore the convergence of artificial intelligence (AI) and machine learning (ML) with networking technologies, a fusion that is revolutionizing network management, optimization, security, and analytics. Discover how AI and ML are enhancing network performance, efficiency, and reliability, empowering networks with self-healing and self-optimizing capabilities. Delve into the potential of AI-driven networks, paving the way for a future of autonomous and intelligent network infrastructures. If you like this book, write a review!
Ai For Large Scale Communication Networks
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Author : Kanthavel, R.
language : en
Publisher: IGI Global
Release Date : 2024-10-25
Ai For Large Scale Communication Networks written by Kanthavel, R. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-25 with Computers categories.
Artificial Intelligence (AI) is rapidly becoming essential to large-scale communication networks. Driven by the need for greater efficiency, security, and optimization, AI has evolved into a powerful tool that processes vast data and delivers insights through real-time processing, predictive analysis, and adaptive learning. Because these advancements transform how we interact with data and services, applying AI to complex networks has never been more essential. AI for Large Scale Communication Networks explores how AI can enhance network performance, scalability, and security. With contributions from experts, this book covers topics such as algorithm optimization, machine learning improvements, and neural network applications. It also addresses critical challenges like fault tolerance and distributed computing, emphasizing the need for interdisciplinary collaboration. Designed for academics, practitioners, and students, this resource provides actionable insights and strategies to optimize communication networks using AI.
Mastering Network Infrastructure Implementing Managing And Maintaining A Robust And Secure Network Environment
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-11
Mastering Network Infrastructure Implementing Managing And Maintaining A Robust And Secure Network Environment written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Technology & Engineering categories.
In a world increasingly reliant on digital connectivity, the significance of a robust and secure network infrastructure cannot be overstated. Mastering Network Infrastructure: Implementing, Managing, and Maintaining a Robust and Secure Network Environment serves as an invaluable guide for network professionals, system administrators, and IT enthusiasts seeking to excel in the field of network engineering. This comprehensive book covers a wide range of topics, providing readers with a thorough understanding of the principles and best practices of network infrastructure management. From the fundamentals of networking to the intricacies of network security, no stone is left unturned. Readers will embark on a journey through the world of network design, implementation, and troubleshooting, gaining insights into the core concepts that underpin modern networking. They will delve into the intricacies of IP addressing, routing, and switching, acquiring a solid foundation in the essential building blocks of network connectivity. Furthermore, the book delves into the realm of network security, providing expert guidance on safeguarding networks from unauthorized access, malicious attacks, and data breaches. Readers will learn about the latest security technologies and best practices, enabling them to protect their networks from a wide range of threats. Particular emphasis is placed on network performance and scalability, addressing techniques for optimizing network throughput, reducing latency, and ensuring reliable connectivity. Readers will discover how to implement network automation and management solutions, leveraging cutting-edge technologies to streamline network operations and enhance efficiency. Mastering Network Infrastructure: Implementing, Managing, and Maintaining a Robust and Secure Network Environment is more than just a technical manual; it is a comprehensive guidebook for navigating the ever-changing landscape of networking technologies. With its in-depth explanations, real-world case studies, and hands-on exercises, this book empowers readers to design, implement, and maintain robust and secure network infrastructures that meet the demands of modern businesses and organizations. Whether you are a seasoned network professional looking to expand your knowledge or an IT enthusiast seeking to master the art of network engineering, this book is an indispensable resource. Its comprehensive coverage and practical guidance will equip you with the skills and expertise necessary to succeed in today's interconnected world. If you like this book, write a review on google books!