Malware Analysis Using Artificial Intelligence And Deep Learning
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Malware Analysis Using Artificial Intelligence And Deep Learning
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2020-12-20
Malware Analysis Using Artificial Intelligence And Deep Learning written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-20 with Computers categories.
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
Machine Learning Deep Learning And Ai For Cybersecurity
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2025-05-09
Machine Learning Deep Learning And Ai For Cybersecurity written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Mathematics categories.
This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and deep learning algorithms to inherently difficult problems in the security domain, such as malware detection and analysis, intrusion detection, spam detection, and various other subfields of cybersecurity. The book places particular attention on data driven approaches, where minimal expert domain knowledge is required. This book bridges some of the gaps that exist between deep learning/AI research and practical problems in cybersecurity. The proposed topics cover a wide range of deep learning and AI techniques, including novel frameworks and development tools enabling the audience to innovate with these cutting-edge research advancements in various security-related use cases. The book is timely since it is not common to find clearly elucidated research that applies the latest developments in AI to problems in cybersecurity.
Machine Learning Under Malware Attack
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Author : Raphael Labaca-Castro
language : en
Publisher: Springer Nature
Release Date : 2023-01-31
Machine Learning Under Malware Attack written by Raphael Labaca-Castro and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-31 with Computers categories.
Machine learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return preferred predictions. Therefore, carefully crafted adversarial objects may impact the trust of machine learning systems compromising the reliability of their predictions, irrespective of the field in which they are deployed. The goal of this book is to improve the understanding of adversarial attacks, particularly in the malware context, and leverage the knowledge to explore defenses against adaptive adversaries. Furthermore, to study systemic weaknesses that can improve the resilience of machine learning models.
Security And Management And Wireless Networks
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Author : Kevin Daimi
language : en
Publisher: Springer Nature
Release Date : 2025-04-26
Security And Management And Wireless Networks written by Kevin Daimi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Computers categories.
This book constitutes the proceedings of the 23rd International Conference on Security and Management, SAM 2024, and the 23rd International Conference on Wireless Networks, ICWN 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024. For SAM 2024, 255 submissions have been received and 40 papers have been accepted for publication in these proceedings; the 12 papers included from IWCN 2024 have been carefully reviewed and selected from 66 submissions. They have been organized in topical sections as follows: Intrusion and attack detection: malware, malicious URL, phishing; security assessment and management + blockchain + use of artificial intelligence; cybersecurity and communications systems + cryptography and privacy; security and management + new methodologies and applications; wireless networks and mobile computing.
Advances In Artificial Intelligence And Machine Learning In Big Data Processing
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Author : R. Geetha
language : en
Publisher: Springer Nature
Release Date : 2024-09-30
Advances In Artificial Intelligence And Machine Learning In Big Data Processing written by R. Geetha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.
Artificial Intelligence Machine Learning And Blockchain In Quantum Satellite Drone And Network
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Author : Thiruselvan Subramanian
language : en
Publisher: CRC Press
Release Date : 2022-10-14
Artificial Intelligence Machine Learning And Blockchain In Quantum Satellite Drone And Network written by Thiruselvan Subramanian and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-14 with Technology & Engineering categories.
Quantum computing is a field in which advanced technologies like quantum communication, artificial intelligence and machine learning can be used to secure and speed up connectivity using quantum computers, quantum drones or quantum satellites. This book serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet and climate change mitigation, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. Key features: Provides a clear insight into the Internet of Drones for academicians, postdoc fellows, research scholars, graduate and postgraduate students, industry fellows and software engineers Useful to professionals who seek information about the Internet of Drones, including experts in quantum computing and physics and post-quantum cryptography, as well as data scientists and data analysts Covers quantum computing and security for Unmanned Aerial Vehicles (UAV) or drones which are widely useful for applications such as military, government, and non-government systems Explores futuristic aspects of the Intenet of Drones to improve everyday living for ordinary people
Intelligent Approaches To Cyber Security
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Author : Narendra M Shekokar
language : en
Publisher: CRC Press
Release Date : 2023-10-11
Intelligent Approaches To Cyber Security written by Narendra M Shekokar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Computers categories.
Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security. Features: Role of Deep Learning and Machine Learning in the Field of Cyber Security Using ML to defend against cyber-attacks Using DL to defend against cyber-attacks Using blockchain to defend against cyber-attacks This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.
Micro Electronics And Telecommunication Engineering
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Author : Devendra Kumar Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-02-28
Micro Electronics And Telecommunication Engineering written by Devendra Kumar 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 2022-02-28 with Technology & Engineering categories.
The book presents high-quality papers from the Fourth International Conference on Microelectronics and Telecommunication Engineering (ICMETE 2021). It discusses the latest technological trends and advances in major research areas such as microelectronics, wireless communications, optical communication, signal processing, image processing, big data, cloud computing, artificial intelligence and sensor network applications. This book includes the contributions of national and international scientists, researchers, and engineers from both academia and the industry. The contents of this volume will be useful to researchers, professionals, and students alike.
Advances And Applications Of Artificial Intelligence Machine Learning
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Author : Bhuvan Unhelkar
language : en
Publisher: Springer Nature
Release Date : 2023-11-14
Advances And Applications Of Artificial Intelligence Machine Learning written by Bhuvan Unhelkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-14 with Technology & Engineering categories.
This volume comprises the select peer-reviewed proceedings of the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning 2022 (ICAAAIML 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in the areas of artificial intelligence, machine learning, deep learning, and their advanced applications in computer vision and blockchain. It also covers research in core concepts of computers, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, software engineering, image processing, and cloud computing. This volume will provide a valuable resource for those in academia and industry.
Artificial Intelligence For Cybersecurity
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2022-07-15
Artificial Intelligence For Cybersecurity written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.
This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.