Cyber Security Meets Machine Learning
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Cyber Security Meets Machine Learning
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Author : Xiaofeng Chen
language : en
Publisher: Springer Nature
Release Date : 2021-07-02
Cyber Security Meets Machine Learning written by Xiaofeng 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 2021-07-02 with Computers categories.
Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.
Machine Learning For Cybersecurity Threat Detection And Mitigation
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Author : Dr. Araddhana Arvind Deshmukh
language : en
Publisher: Xoffencer international book publication house
Release Date : 2024-07-05
Machine Learning For Cybersecurity Threat Detection And Mitigation written by Dr. Araddhana Arvind Deshmukh and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-05 with Computers categories.
As a result of the increasingly complex structure of today's information systems, there is a growing agreement that Artificial Intelligence (AI) is required in order to keep up with the exponential expansion of big data. Techniques from the field of machine learning (ML), in particular deep learning, are already being used to address a broad range of issues that are encountered in the real world. There are a number of intriguing examples of machine learning's practical triumphs, including machine translation, recommendations for vacations and travel, item identification and monitoring, and even various applications in the healthcare industry. Furthermore, machine learning has shown a great deal of promise in the area of autonomous driving and communication systems, which is why it is rightly considered to be a technical enabler. On the other hand, the civilization of today is more reliant than ever before on information technology systems, even autonomous ones, which are itself abused by malicious actors. In actuality, cybercriminals are always inventing new threats, and, they will have the ability to do significant harm or even kill people due to their capabilities. In order for defensive mechanisms to be able to prevent such events and limit the multiplicity of hazards that might potentially harm both current and future information technology systems, they need to be able to quickly adapt to (i) settings that are continually changing and (ii) threat landscapes that are always developing. It is hard to ignore the use of machine learning in the field of cybersecurity since it is manifestly impossible to address such a dual demand using methodologies that are static and human-defined. It is not surprising that a number of surveys and technical studies have been conducted on the subject of machine learning integration in the field of cybersecurity. Even though there have been a lot of accomplishments in research settings, there has been only a little amount of progress made in creating and integrating machine learning in industrial systems. The vast majority of these solutions are still using 'unsupervised' techniques, mostly for 'anomaly detection,' according to a recent report. This is despite the fact that more than ninety percent of enterprises are presently incorporating AI and ML into their defensive systems.
Ai Machine Learning And Deep Learning
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Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2023-06-05
Ai Machine Learning And Deep Learning written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security). Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered
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.
Proceedings Of The International Conference On Artificial Intelligence And Computer Vision Aicv2020
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Author : Aboul-Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2020-03-23
Proceedings Of The International Conference On Artificial Intelligence And Computer Vision Aicv2020 written by Aboul-Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Technology & Engineering categories.
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
Robotics And Ai For Cybersecurity And Critical Infrastructure In Smart Cities
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Author : Nadia Nedjah
language : en
Publisher: Springer Nature
Release Date : 2022-03-28
Robotics And Ai For Cybersecurity And Critical Infrastructure In Smart Cities written by Nadia Nedjah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-28 with Technology & Engineering categories.
This book bridges principles and real-world applications, while also providing thorough theory and technology for the development of artificial intelligence and robots. A lack of cross-pollination between AI and robotics research has led to a lack of progress in both fields. Now that both technologies have made significant strides, there is increased interest in combining the two domains in order to create a new integrated AI and robotics trend. In order to achieve wiser urbanization and more sustainable development, AI in smart cities will play a significant part in equipping the cities with advanced features that will allow residents to safely move about, stroll, shop, and enjoy a more comfortable way of life. If you are a student, researcher, engineer, or professional working in this field, or if you are just curious in the newest advancements in robotics and artificial intelligence for cybersecurity, this book is for you!
Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions
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Author : Pethuru Raj
language : en
Publisher: CRC Press
Release Date : 2024-11-22
Leveraging Artificial Intelligence Ai Competencies For Next Generation Cybersecurity Solutions written by Pethuru Raj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-22 with Computers categories.
Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including big data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, machine learning approaches, deep learning, blockchain technology, convolutional neural networks, and more. Some unique features of this book include: Detailed overview of various security analytics techniques and tools Comprehensive descriptions of the emerging and evolving aspects of artificial intelligence (AI) technologies Industry case studies for practical comprehension and application This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning
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Author : Ul Rehman, Shafiq
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning written by Ul Rehman, Shafiq and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
Adversarial machine learning poses a threat to cybersecurity by exploiting vulnerabilities in AI models through manipulated inputs. These attacks can cause systems in healthcare, finance, and autonomous vehicles to make dangerous or misleading decisions. A major challenge lies in detecting these small issues and defending learning models and organizational data without sacrificing performance. Ongoing research and cross-sector collaboration are essential to develop robust, ethical, and secure machine learning systems. Further research may reveal better solutions to converge cyber technology, security, and machine learning tools. Challenges and Solutions for Cybersecurity and Adversarial Machine Learning explores adversarial machine learning and deep learning within cybersecurity. It examines foundational knowledge, highlights vulnerabilities and threats, and proposes cutting-edge solutions to counteract adversarial attacks on AI systems. This book covers topics such as data privacy, federated learning, and threat detection, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and data scientists.
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.
Proceedings Of 3rd International Conference On Smart Computing And Cyber Security
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2024-07-27
Proceedings Of 3rd International Conference On Smart Computing And Cyber Security written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Computers categories.
This book presents high-quality research papers presented at the Third International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2023) held during December 5–6, 2023, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the fields of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security.