Adversarial Ai Attacks Mitigations And Defense Strategies

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Adversarial Ai Attacks Mitigations And Defense Strategies

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Author : John Sotiropoulos
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-26

Adversarial Ai Attacks Mitigations And Defense Strategies written by John Sotiropoulos 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 2024-07-26 with Computers categories.

“The book not only explains how adversarial attacks work but also shows you how to build your own test environment and run attacks to see how they can corrupt ML models. It's a comprehensive guide that walks you through the technical details and then flips to show you how to defend against these very same attacks.” – Elaine Doyle, VP and Cybersecurity Architect, Salesforce Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Understand the unique security challenges presented by predictive and generative AI Explore common adversarial attack strategies as well as emerging threats such as prompt injection Mitigate the risks of attack on your AI system with threat modeling and secure-by-design methods Book DescriptionAdversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies, moving beyond research hype or business-as-usual activities. Learn how to defend AI and LLM systems against manipulation and intrusion through adversarial attacks such as poisoning, trojan horses, and model extraction, leveraging DevSecOps, MLOps, and other methods to secure systems. This strategy-based book is a comprehensive guide to AI security, combining structured frameworks with practical examples to help you identify and counter adversarial attacks. Part 1 introduces the foundations of AI and adversarial attacks. Parts 2, 3, and 4 cover key attack types, showing how each is performed and how to defend against them. Part 5 presents secure-by-design AI strategies, including threat modeling, MLSecOps, and guidance aligned with OWASP and NIST. The book concludes with a blueprint for maturing enterprise AI security based on NIST pillars, addressing ethics and safety under Trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively.What you will learn Set up a playground to explore how adversarial attacks work Discover how AI models can be poisoned and what you can do to prevent this Learn about the use of trojan horses to tamper with and reprogram models Understand supply chain risks Examine how your models or data can be stolen in privacy attacks See how GANs are weaponized for Deepfake creation and cyberattacks Explore emerging LLM-specific attacks, such as prompt injection Leverage DevSecOps, MLOps and MLSecOps to secure your AI system Who this book is for This book tackles AI security from both angles - offense and defence. AI developers and engineers will learn how to create secure systems, while cybersecurity professionals, such as security architects, analysts, engineers, ethical hackers, penetration testers, and incident responders will discover methods to combat threats to AI and mitigate the risks posed by attackers. The book also provides a secure-by-design approach for leaders to build AI with security in mind. To get the most out of this book, you’ll need a basic understanding of security, ML concepts, and Python.

Cyber Security Kill Chain Tactics And Strategies

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Author : Gourav Nagar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-30

Cyber Security Kill Chain Tactics And Strategies written by Gourav Nagar 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 2025-05-30 with Computers categories.

Understand the cyber kill chain framework and discover essential tactics and strategies to effectively prevent cyberattacks Key Features Explore each stage of the cyberattack process using the cyber kill chain and track threat actor movements Learn key components of threat intelligence and how they enhance the cyber kill chain Apply practical examples and case studies for effective, real-time responses to cyber threats Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGain a strategic edge in cybersecurity by mastering the systematic approach to identifying and responding to cyber threats through a detailed exploration of the cyber kill chain framework. This guide walks you through each stage of the attack, from reconnaissance and weaponization to exploitation, command and control (C2), and actions on objectives. Written by cybersecurity leaders Gourav Nagar, Director of Information Security at BILL Holdings, with prior experience at Uber and Apple, and Shreyas Kumar, Professor of Practice at Texas A&M, and former expert at Adobe and Oracle, this book helps enhance your cybersecurity posture. You’ll gain insight into the role of threat intelligence in boosting the cyber kill chain, explore the practical applications of the framework in real-world scenarios, and see how AI and machine learning are revolutionizing threat detection. You’ll also learn future-proofing strategies and get ready to counter sophisticated threats like supply chain attacks and living-off-the-land attacks, and the implications of quantum computing on cybersecurity. By the end of this book, you’ll have gained the strategic understanding and skills needed to protect your organization's digital infrastructure in the ever-evolving landscape of cybersecurity.What you will learn Discover methods, tools, and best practices to counteract attackers at every stage Leverage the latest defensive measures to thwart command-and-control activities Understand weaponization and delivery techniques to improve threat recognition Implement strategies to prevent unauthorized installations and strengthen security Enhance threat prediction, detection, and automated response with AI and ML Convert threat intelligence into actionable strategies for enhancing cybersecurity defenses Who this book is for This book is for cybersecurity professionals, IT administrators, network engineers, students, and business leaders who want to understand modern cyber threats and defense strategies. It’s also a valuable resource for decision-makers seeking insight into cybersecurity investments and strategic planning. With clear explanation of cybersecurity concepts suited to all levels of expertise, this book equips you to apply the cyber kill chain framework in real-world scenarios, covering key topics such as threat actors, social engineering, and infrastructure security.

The Cybersecurity Control Playbook

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Author : Jason Edwards
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-20

The Cybersecurity Control Playbook written by Jason Edwards and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Computers categories.

Implement effective cybersecurity measures for all organizations Cybersecurity is one of the central concerns of our digital age. In an increasingly connected world, protecting sensitive data, maintaining system integrity, and ensuring privacy have never been more important. The Cybersecurity Control Playbook offers a step-by-step guide for implementing cybersecurity controls that will protect businesses and prepare them to compete in an overwhelmingly networked landscape. With balanced coverage of both foundational and advanced topics, and concrete examples throughout, this is a must-own resource for professionals looking to keep their businesses safe and secure. Readers will also find: Clear, jargon-free language that makes it accessible to a wide range of readers An introduction to developing, deploying, monitoring, testing, and retiring controls and control frameworks across large, medium, and small enterprises A system for identifying, prioritizing, and managing cyber risks based on the MITRE ATT&CK framework, with additional coverage of other key cybersecurity frameworks The Cybersecurity Control Playbook is ideal for cybersecurity practitioners, IT professionals, and security managers who are responsible for implementing and managing cybersecurity strategies in their organizations.

Intelligent Security Paradigms Leveraging Big Data Ai And Ml To Build Autonomous Cyber Defense Ecosystems

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Author : Laxmana Murthy Karaka
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :

Intelligent Security Paradigms Leveraging Big Data Ai And Ml To Build Autonomous Cyber Defense Ecosystems written by Laxmana Murthy Karaka and has been published by SADGURU 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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Proceedings Of International Conference On Information Technology And Applications

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Author : Abrar Ullah
language : en
Publisher: Springer Nature
Release Date : 2025-06-14

Proceedings Of International Conference On Information Technology And Applications written by Abrar Ullah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.

This book includes high-quality papers presented at 18th International Conference on Information Technology and Applications (ICITA 2024), held in Sydney, Australia, during October 17–19, 2024. The book presents original research work of academics and industry professionals to exchange their knowledge of the state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modeling, human computer interaction, online learning /e-learning, computer networks, and web engineering.

Safe And Trustworthy Machine Learning

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Author : Bhavya Kailkhura
language : en
Publisher: Frontiers Media SA
Release Date : 2021-10-29

Safe And Trustworthy Machine Learning written by Bhavya Kailkhura and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Science categories.

Hands On Artificial Intelligence For Cybersecurity

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Author : Alessandro Parisi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-08-02

Hands On Artificial Intelligence For Cybersecurity written by Alessandro Parisi 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 2019-08-02 with Computers categories.

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

Ai Driven Security Systems And Intelligent Threat Response Using Autonomous Cyber Defense

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Author : Alauthman, Mohammad
language : en
Publisher: IGI Global
Release Date : 2025-04-23

Ai Driven Security Systems And Intelligent Threat Response Using Autonomous Cyber Defense written by Alauthman, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Computers categories.

AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists.

Machine Learning And Security

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Author : Clarence Chio
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-01-26

Machine Learning And Security written by Clarence Chio and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-26 with Computers categories.

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

Hands On Machine Learning For Cybersecurity

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Author : Soma Halder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31

Hands On Machine Learning For Cybersecurity written by Soma Halder 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 2018-12-31 with Computers categories.

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