Machine Learning Security Principles
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Machine Learning Security Principles
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Author : John Paul Mueller
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-12-30
Machine Learning Security Principles written by John Paul Mueller and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Computers categories.
Thwart hackers by preventing, detecting, and misdirecting access before they can plant malware, obtain credentials, engage in fraud, modify data, poison models, corrupt users, eavesdrop, and otherwise ruin your day Key Features Discover how hackers rely on misdirection and deep fakes to fool even the best security systems Retain the usefulness of your data by detecting unwanted and invalid modifications Develop application code to meet the security requirements related to machine learning Book DescriptionBusinesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this book will explore these processes in more depth, which will help you in understanding the role security plays in machine learning. As you progress to the second part, you’ll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references. The next part of the book will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary’s reputation. Once you’ve understood hacker goals and detection techniques, you’ll learn about the ramifications of deep fakes, followed by mitigation strategies. This book also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You’ll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks. By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively.What you will learn Explore methods to detect and prevent illegal access to your system Implement detection techniques when access does occur Employ machine learning techniques to determine motivations Mitigate hacker access once security is breached Perform statistical measurement and behavior analysis Repair damage to your data and applications Use ethical data collection methods to reduce security risks Who this book is forWhether you’re a data scientist, researcher, or manager working with machine learning techniques in any aspect, this security book is a must-have. While most resources available on this topic are written in a language more suitable for experts, this guide presents security in an easy-to-understand way, employing a host of diagrams to explain concepts to visual learners. While familiarity with machine learning concepts is assumed, knowledge of Python and programming in general will be useful.
Machine Learning For Computer And Cyber Security
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Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2019-02-05
Machine Learning For Computer And Cyber Security written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-05 with Computers categories.
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.
Agentic Assurance Identity First Devops Ai Security And Digital Transformation In Insurance Finance
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Author : PALLAV KUMAR KAULWAR
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Agentic Assurance Identity First Devops Ai Security And Digital Transformation In Insurance Finance written by PALLAV KUMAR KAULWAR and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Electronics Communications And Networks
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Author : Antonio J. Tallón-Ballesteros
language : en
Publisher: SAGE Publications Limited
Release Date : 2024-01-15
Electronics Communications And Networks written by Antonio J. Tallón-Ballesteros and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-15 with Computers categories.
It is hard to imagine a world without electronic communication networks, so dependent have we all become on the networks which now exist and have become part of the fabric of our daily lives. This book presents papers from CECNet 2023, the 13th International Conference on Electronics, Communications and Networks, held as a hybrid event, in person in Macau, China and online via Microsoft Teams, from 17-20 November 2023. This annual conference provides a comprehensive, global forum for experts and participants from academia to exchange ideas and present the results of ongoing research in state-of-the-art areas of electronics technology, communications engineering and technology, wireless communications engineering and technology, and computer engineering and technology. A total of 324 submissions were received for the conference, and those which qualified by virtue of falling under the scope of the conference topics were exhaustively reviewed by program committee members and peer-reviewers, taking into account the breadth and depth of the relevant research topics. The 101 selected contributions included in this book present innovative, original ideas or results of general significance, supported by clear and rigorous reasoning and compelling new light in both evidence and method. Subjects covered divide broadly into 3 categories: electronics technology and VLSI, internet technology and signal processing, and information communication and communication networks. Providing an overview of current research and developments in these rapidly evolving fields, the book will be of interest to all those working with digital communications networks.
Cyber Security And Intelligent Systems
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Author : Vikrant Bhateja
language : en
Publisher: Springer Nature
Release Date : 2024-12-26
Cyber Security And Intelligent Systems written by Vikrant Bhateja and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book presents a collection of high-quality, peer-reviewed research papers from the 8th International Conference on Information System Design and Intelligent Applications (ISDIA 2024), held in Dubai, UAE, from 3-4 January 2024. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.
Ai Native Llm Security
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Author : Vaibhav Malik
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-12-12
Ai Native Llm Security written by Vaibhav Malik and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-12 with Computers categories.
Unlock the secrets to safeguarding AI by exploring the top risks, essential frameworks, and cutting-edge strategies—featuring the OWASP Top 10 for LLM Applications and Generative AI DRM-free PDF version + access to Packt's next-gen Reader* Key Features Understand adversarial AI attacks to strengthen your AI security posture effectively Leverage insights from LLM security experts to navigate emerging threats and challenges Implement secure-by-design strategies and MLSecOps practices for robust AI system protection Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAdversarial AI attacks present a unique set of security challenges, exploiting the very foundation of how AI learns. This book explores these threats in depth, equipping cybersecurity professionals with the tools needed to secure generative AI and LLM applications. Rather than skimming the surface of emerging risks, it focuses on practical strategies, industry standards, and recent research to build a robust defense framework. Structured around actionable insights, the chapters introduce a secure-by-design methodology, integrating threat modeling and MLSecOps practices to fortify AI systems. You’ll discover how to leverage established taxonomies from OWASP, NIST, and MITRE to identify and mitigate vulnerabilities. Through real-world examples, the book highlights best practices for incorporating security controls into AI development life cycles, covering key areas such as CI/CD, MLOps, and open-access LLMs. Built on the expertise of its co-authors—pioneers in the OWASP Top 10 for LLM applications—this guide also addresses the ethical implications of AI security, contributing to the broader conversation on trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI technologies with confidence and clarity. *Email sign-up and proof of purchase required What you will learn Understand unique security risks posed by LLMs Identify vulnerabilities and attack vectors using threat modeling Detect and respond to security incidents in operational LLM deployments Navigate the complex legal and ethical landscape of LLM security Develop strategies for ongoing governance and continuous improvement Mitigate risks across the LLM life cycle, from data curation to operations Design secure LLM architectures with isolation and access controls Who this book is for This book is essential for cybersecurity professionals, AI practitioners, and leaders responsible for developing and securing AI systems powered by large language models. Ideal for CISOs, security architects, ML engineers, data scientists, and DevOps professionals, it provides insights on securing AI applications. Managers and executives overseeing AI initiatives will also benefit from understanding the risks and best practices outlined in this guide to ensure the integrity of their AI projects. A basic understanding of security concepts and AI fundamentals is assumed.
Artificial Intelligence Security And Safety
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Author : Binxing Fang
language : en
Publisher: Springer Nature
Release Date : 2025-07-29
Artificial Intelligence Security And Safety written by Binxing Fang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Computers categories.
This book proposes the architecture of artificial intelligence (AI) security and safety, discusses the topics about AI for security, AI security and AI safety, and makes an in-depth study on the ethical code of AI security and safety. Meanwhile, this book makes a detailed analysis of “artificial intelligence actant” (AIA) concept and its possible security problems, proposes the solutions for the AIA safely hoop, and provides the assessment and detection methods for AIA. Finally, this book discusses the AI cutting-edge technologies, as well as the future development trend of AI security and safety. This book is suitable for researchers, practitioners, regulators and enthusiasts in the field of AI, cyberspace security, etc.
Principles Of Computer Security Comptia Security And Beyond Sixth Edition Exam Sy0 601
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Author : Wm. Arthur Conklin
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-07-29
Principles Of Computer Security Comptia Security And Beyond Sixth Edition Exam Sy0 601 written by Wm. Arthur Conklin and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-29 with Computers categories.
Fully updated computer security essentials—mapped to the CompTIA Security+ SY0-601 exam Save 10% on any CompTIA exam voucher! Coupon code inside. Learn IT security fundamentals while getting complete coverage of the objectives for the latest release of CompTIA Security+ certification exam SY0-601. This thoroughly revised, full-color textbook covers how to secure hardware, systems, and software. It addresses new threats and cloud environments, and provides additional coverage of governance, risk, compliance, and much more. Written by a team of highly respected security educators, Principles of Computer Security: CompTIA Security+TM and Beyond, Sixth Edition (Exam SY0-601) will help you become a CompTIA-certified computer security expert while also preparing you for a successful career. Find out how to: Ensure operational, organizational, and physical security Use cryptography and public key infrastructures (PKIs) Secure remote access, wireless networks, and virtual private networks (VPNs) Authenticate users and lock down mobile devices Harden network devices, operating systems, and applications Prevent network attacks, such as denial of service, spoofing, hijacking, and password guessing Combat viruses, worms, Trojan horses, and rootkits Manage e-mail, instant messaging, and web security Explore secure software development requirements Implement disaster recovery and business continuity measures Handle computer forensics and incident response Understand legal, ethical, and privacy issues Online content features: Test engine that provides full-length practice exams and customized quizzes by chapter or exam objective Each chapter includes: Learning objectives Real-world examples Try This! and Cross Check exercises Tech Tips, Notes, and Warnings Exam Tips End-of-chapter quizzes and lab projects
Ai Strategy And Security
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Author : Donnie W. Wendt
language : en
Publisher: Springer Nature
Release Date : 2025-09-26
Ai Strategy And Security written by Donnie W. Wendt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Computers categories.
AI will fundamentally change the way business is conducted across most industries. Organizations that excel at leveraging secure, responsible AI to advance their strategic objectives will have a distinct advantage. Those that do not may see their market share erode. This book provides a guide for organizations to integrate AI in alignment with the organization's strategic goals. The framework provides a roadmap for adopting secure, responsible, and resilient AI, from initial strategy development to ongoing operations that will help advance market leadership. Part one of the book discusses laying a solid foundation to ensure successful AI integration, beginning with developing an AI strategy aligned with strategic business objectives, such as product and service differentiation, market expansion, and process optimization. Part Two takes a deep dive into ensuring secure and safe AI adoption. It proposes a secure-by-design approach to AI development that considers AI-specific attack vectors and associated security practices throughout the AI lifecycle. Developing and deploying secure, responsible, and resilient AI is not a one-time effort. Therefore, Part Three discusses operationalizing AI and integrating it throughout the enterprise to ensure continued success. This section focuses on scaling AI applications and continuous improvement, including establishing metrics and conducting a post-deployment ROI evaluation. Finally, it discusses how to foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business. What You Will Learn: Develop an AI integration strategy aligned with the organization's strategic goals and objectives. Incorporate a secure-by-design approach to AI integration that considers AI-specific attack vectors and applies traditional and AI-specific defense methods, such as adversarial development, model behavior monitoring, drift analysis, input validation and filtering, and output filtering. Establish an AI governance and risk management framework to ensure ongoing compliance with applicable legislation, industry standards, organizational policies, and responsible AI principles. Operationalize and scale AI applications to ensure resilient production usage and facilitate continuous improvement. Foster a culture of AI innovation and excellence, ensuring that AI becomes a way of doing business. Who This Book is for: The primary audience includes business leaders, AI practitioners, AI executives, AI governance professionals, and cybersecurity leaders looking to integrate AI as a strategic differentiator and to enhance business operations. Higher education would be a secondary audience.
Adversarial Machine Learning
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Author : Anthony D. Joseph
language : en
Publisher: Cambridge University Press
Release Date : 2019-02-21
Adversarial Machine Learning written by Anthony D. Joseph and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Computers categories.
This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.