Ai Applications In Cyber Security And Communication Networks
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Ai Applications In Cyber Security And Communication Networks
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Author : Chaminda Hewage
language : en
Publisher: Springer Nature
Release Date : 2024-09-17
Ai Applications In Cyber Security And Communication Networks written by Chaminda Hewage and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Computers categories.
This book is a collection of high-quality peer-reviewed research papers presented at the Ninth International Conference on Cyber-Security, Privacy in Communication Networks (ICCS 2023) held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, UK, during 11–12 December 2023. This book presents recent innovations in the field of cyber-security and privacy in communication networks in addition to cutting edge research in the field of next-generation communication networks.
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.
Ai In Cybersecurity
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Author : Leslie F. Sikos
language : en
Publisher: Springer
Release Date : 2018-09-17
Ai In Cybersecurity written by Leslie F. Sikos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-17 with Technology & Engineering categories.
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
Next Generation Cybersecurity
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Author : Keshav Kaushik
language : en
Publisher: Springer Nature
Release Date : 2024-05-18
Next Generation Cybersecurity written by Keshav Kaushik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-18 with Science categories.
This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.
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.
Advanced Techniques And Applications Of Cybersecurity And Forensics
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Author : Keshav Kaushik
language : en
Publisher: CRC Press
Release Date : 2024-07-22
Advanced Techniques And Applications Of Cybersecurity And Forensics written by Keshav Kaushik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Computers categories.
The book showcases how advanced cybersecurity and forensic techniques can be applied to various computational issues. It further covers the advanced exploitation tools that are used in the domain of ethical hacking and penetration testing. • Focuses on tools used in performing mobile and SIM forensics, static and dynamic memory analysis, and deep web forensics • Covers advanced tools in the domain of data hiding and steganalysis • Discusses the role and application of artificial intelligence and big data in cybersecurity • Elaborates on the use of advanced cybersecurity and forensics techniques in computational issues • Includes numerous open-source tools such as NMAP, Autopsy, and Wireshark used in the domain of digital forensics The text is primarily written for senior undergraduates, graduate students, and academic researchers, in the fields of computer science, electrical engineering, cybersecurity, and forensics.
Applications Of Artificial Intelligence In Pharmaceuticals
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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-11
Applications Of Artificial Intelligence In Pharmaceuticals written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Medical categories.
Artificial intelligence (AI) is transforming the pharmaceutical industry by accelerating drug discovery, improving clinical trial design, and optimizing manufacturing processes. Its integration into areas such as polymers science, omics, and hospital administration enhances precision, efficiency, and patient outcomes. The use of advanced technologies is not only streamlining operations but also opening new frontiers for innovation. As AI reshapes the healthcare landscape, it raises important questions about ethics, data integrity, and equitable access, prompting the need for thoughtful implementation and governance. Applications of Artificial Intelligence in Pharmaceuticals offers a comprehensive exploration of how AI is revolutionizing every facet of the pharmaceutical industry, from drug discovery to hospital administration. With a focus on practical implementation, ethical considerations, and future innovations, this book serves as a roadmap to navigating the challenges and opportunities of AI in pharmaceuticals. Covering topics such as data-driven modelling, patient feedback, and smart manufacturing, this book is an excellent resource for pharmaceutical industry professionals, AI and data science practitioners, academicians, researchers, healthcare professionals, regulators, policymakers, entrepreneurs, innovators, and more.
Artificial Intelligence And Optimization Techniques For Smart Information System Generations
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Author : Aleem Ali
language : en
Publisher: CRC Press
Release Date : 2025-03-28
Artificial Intelligence And Optimization Techniques For Smart Information System Generations written by Aleem Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.
The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems. • Focuses on extracting information from blockchain repository using artificial intelligence and machine learning algorithms. • Presents deep learning models to identify and locate objects within images and videos, making it possible for machines to perform tasks such as self-driving cars, surveillance, and robotics. • Discusses artificial intelligence and optimization techniques for geographic information system (GIS) generation such as spatial data processing. • Covers artificial intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, and linear regression. • Illustrates topics such as image recognition, natural language processing, fraud detection, information system security, and intrusion detection system
Machine Intelligence Applications In Cyber Risk Management
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Author : Almaiah, Mohammed Amin
language : en
Publisher: IGI Global
Release Date : 2024-11-29
Machine Intelligence Applications In Cyber Risk Management 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 2024-11-29 with Computers categories.
In an era where cyber threats are increasingly sophisticated and persistent, the intersection of machine intelligence and cyber-risk management represents a pivotal frontier in the defense against malicious actors. The rapid advancements of artificial intelligence (AI) and machine learning (ML) technologies offer unprecedented capabilities for identifying, analyzing, and mitigating cyber risks. These technologies not only improve the speed and accuracy of identifying potential threats but also enable proactive and adaptive security measures. Machine Intelligence Applications in Cyber-Risk Management explores the diverse applications of machine intelligence in cyber-risk management, providing a comprehensive overview of how AI and ML algorithms are utilized for automated incident response, threat intelligence gathering, and dynamic security postures. It addresses the pressing need for innovative solutions to combat cyber threats and offer insights into the future of cybersecurity, where machine intelligence plays a crucial role in creating resilient and adaptive defense mechanisms. Covering topics such as anomy detection algorithms, malware detection, and wireless sensor networks (WSNs), this book is an excellent resource for cybersecurity professionals, researchers, academicians, security analysts, threat intelligence experts, IT managers, and more.
Understanding Ai In Cybersecurity And Secure Ai
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Author : Dilli Prasad Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Understanding Ai In Cybersecurity And Secure Ai written by Dilli Prasad Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Business & Economics categories.
This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity and addresses the latest AI models that could be potentially applied to a range of cybersecurity areas. Furthermore, it provides different techniques of how to make the AI algorithms secure from adversarial attacks. The book presents the cyber threat landscape and explains the various spectrums of AI and the applications and limitations of AI in cybersecurity. Moreover, it explores the applications and limitations of secure AI. The authors discuss the three categories of machine learning (ML) models and reviews cutting-edge recent Deep Learning (DL) models. Furthermore, the book provides a general AI framework in security as well as different modules of the framework; similarly, chapter four proposes a general framework for secure AI. It explains different aspects of network security including malware and attacks. The book also includes a comprehensive study of various scopes of application security; categorised into three groups of smartphone, web application, and desktop application and delves into the concepts of cloud security. The authors discuss state-of-the-art Internet of Things (IoT) security and describe various challenges of AI for cybersecurity, such as data diversity, model customising, explainability, and time complexity and includes some future work. They provide a comprehensive understanding of adversarial machine learning including the up-to-date adversarial attacks and defences. The book finishes off with a discussion of the challenges and future work in secure AI. Overall, this book covers applications of AI models to various fields of cybersecurity and appeals not only to an scholarly audience but also to professionals wanting to learn more about the new developments in these areas.