Machine Learning For Computer And Cyber Security

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Cyber Security Meets Machine Learning

Xiaofeng Chen,Willy Susilo,Elisa Bertino
Cyber Security Meets Machine Learning Book PDF

Author : Xiaofeng Chen,Willy Susilo,Elisa Bertino
Publisher : Springer Nature
Page : 168 pages
File Size : 43,9 Mb
Release : 2021-07-02
Category : Computers
ISBN : 9789813367265

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Cyber Security Meets Machine Learning by Xiaofeng Chen,Willy Susilo,Elisa Bertino Pdf

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 Computer and Cyber Security

Brij B. Gupta,Quan Z. Sheng
Machine Learning for Computer and Cyber Security Book PDF

Author : Brij B. Gupta,Quan Z. Sheng
Publisher : CRC Press
Page : 333 pages
File Size : 49,5 Mb
Release : 2019-02-05
Category : Computers
ISBN : 9780429995712

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Machine Learning for Computer and Cyber Security by Brij B. Gupta,Quan Z. Sheng Pdf

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.

Hands-On Machine Learning for Cybersecurity

Soma Halder,Sinan Ozdemir
Hands On Machine Learning for Cybersecurity Book PDF

Author : Soma Halder,Sinan Ozdemir
Publisher : Packt Publishing Ltd
Page : 306 pages
File Size : 49,7 Mb
Release : 2018-12-31
Category : Computers
ISBN : 9781788990967

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Hands-On Machine Learning for Cybersecurity by Soma Halder,Sinan Ozdemir Pdf

Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book

Machine Learning for Cyber Security

Preeti Malik,Lata Nautiyal,Mangey Ram
Machine Learning for Cyber Security Book PDF

Author : Preeti Malik,Lata Nautiyal,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 170 pages
File Size : 47,8 Mb
Release : 2022-12-05
Category : Business & Economics
ISBN : 9783110766769

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Machine Learning for Cyber Security by Preeti Malik,Lata Nautiyal,Mangey Ram Pdf

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and security systems. Filling an important gap between ML and cyber security communities, it discusses topics covering a wide range of modern and practical ML techniques, frameworks and tools.

Machine Learning for Computer and Cyber Security

Brij B. Gupta,Quan Z. Sheng
Machine Learning for Computer and Cyber Security Book PDF

Author : Brij B. Gupta,Quan Z. Sheng
Publisher : CRC Press
Page : 352 pages
File Size : 43,6 Mb
Release : 2019-02-05
Category : Computers
ISBN : 9780429995729

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Machine Learning for Computer and Cyber Security by Brij B. Gupta,Quan Z. Sheng Pdf

While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.

Deep Learning Applications for Cyber Security

Mamoun Alazab,MingJian Tang
Deep Learning Applications for Cyber Security Book PDF

Author : Mamoun Alazab,MingJian Tang
Publisher : Springer
Page : 246 pages
File Size : 44,7 Mb
Release : 2019-08-14
Category : Computers
ISBN : 9783030130572

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Deep Learning Applications for Cyber Security by Mamoun Alazab,MingJian Tang Pdf

Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.

Machine Learning and Security

Clarence Chio,David Freeman
Machine Learning and Security Book PDF

Author : Clarence Chio,David Freeman
Publisher : "O'Reilly Media, Inc."
Page : 386 pages
File Size : 52,7 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781491979853

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Machine Learning and Security by Clarence Chio,David Freeman Pdf

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Machine Learning and Security

Clarence Chio,David Freeman
Machine Learning and Security Book PDF

Author : Clarence Chio,David Freeman
Publisher : "O'Reilly Media, Inc."
Page : 385 pages
File Size : 40,6 Mb
Release : 2018-01-26
Category : Computers
ISBN : 9781491979877

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Machine Learning and Security by Clarence Chio,David Freeman Pdf

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Game Theory and Machine Learning for Cyber Security

Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Game Theory and Machine Learning for Cyber Security Book PDF

Author : Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 43,9 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781119723943

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Game Theory and Machine Learning for Cyber Security by Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu Pdf

GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Data Mining and Machine Learning in Cybersecurity

Sumeet Dua,Xian Du
Data Mining and Machine Learning in Cybersecurity Book PDF

Author : Sumeet Dua,Xian Du
Publisher : CRC Press
Page : 256 pages
File Size : 54,6 Mb
Release : 2016-04-19
Category : Computers
ISBN : 9781439839430

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Data Mining and Machine Learning in Cybersecurity by Sumeet Dua,Xian Du Pdf

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible

AI, Machine Learning and Deep Learning

Fei Hu,Xiali Hei
AI Machine Learning and Deep Learning Book PDF

Author : Fei Hu,Xiali Hei
Publisher : CRC Press
Page : 420 pages
File Size : 53,6 Mb
Release : 2023-06-05
Category : Computers
ISBN : 9781000878899

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AI, Machine Learning and Deep Learning by Fei Hu,Xiali Hei Pdf

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

Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Ganapathi, Padmavathi,Shanmugapriya, D.
Handbook of Research on Machine and Deep Learning Applications for Cyber Security Book PDF

Author : Ganapathi, Padmavathi,Shanmugapriya, D.
Publisher : IGI Global
Page : 482 pages
File Size : 49,8 Mb
Release : 2019-07-26
Category : Computers
ISBN : 9781522596134

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Handbook of Research on Machine and Deep Learning Applications for Cyber Security by Ganapathi, Padmavathi,Shanmugapriya, D. Pdf

As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Machine Learning and Data Mining for Computer Security

Marcus A. Maloof
Machine Learning and Data Mining for Computer Security Book PDF

Author : Marcus A. Maloof
Publisher : Springer Science & Business Media
Page : 218 pages
File Size : 50,8 Mb
Release : 2006-02-27
Category : Computers
ISBN : 9781846282539

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Machine Learning and Data Mining for Computer Security by Marcus A. Maloof Pdf

"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables. This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Sarvesh Tanwar,Sumit Badotra,Ajay Rana
Machine Learning Blockchain and Cyber Security in Smart Environments Book PDF

Author : Sarvesh Tanwar,Sumit Badotra,Ajay Rana
Publisher : CRC Press
Page : 313 pages
File Size : 42,8 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781000623918

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Machine Learning, Blockchain, and Cyber Security in Smart Environments by Sarvesh Tanwar,Sumit Badotra,Ajay Rana Pdf

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.

Machine Learning for Cyber Agents

Stanislav Abaimov,Maurizio Martellini
Machine Learning for Cyber Agents Book PDF

Author : Stanislav Abaimov,Maurizio Martellini
Publisher : Springer Nature
Page : 235 pages
File Size : 53,7 Mb
Release : 2022-01-27
Category : Computers
ISBN : 9783030915858

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Machine Learning for Cyber Agents by Stanislav Abaimov,Maurizio Martellini Pdf

The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter. With the abundance of often-confusing information and lack of trust in the diverse applications of AI-based technologies, it is essential to have a book that can explain, from a cyber security standpoint, why and at what stage the emerging, powerful technology of machine learning can and should be mistrusted, and how to benefit from it while avoiding potentially disastrous consequences. In addition, this book sheds light on another highly sensitive area – the application of machine learning for offensive purposes, an aspect that is widely misunderstood, under-represented in the academic literature and requires immediate expert attention.