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In the rapidly evolving world of cybersecurity, the intersection of hacking and artificial intelligence (AI) has become an arena of immense potential. "Mastering Hacking with AI" by Kris Hermans is your comprehensive guide to harnessing the power of AI for ethical hacking purposes. This groundbreaking book takes you on a transformative journey, equipping you with the knowledge and skills to master the fusion of hacking and AI. Inside this groundbreaking book, you will: Explore the core principles of hacking and AI, including machine learning techniques, natural language processing, anomaly detection, and adversarial attacks, enabling you to develop advanced hacking strategies. Gain hands-on experience through real-world examples, step-by-step tutorials, and AI-driven tools, allowing you to apply AI techniques to identify vulnerabilities, automate penetration testing, and enhance threat intelligence. Understand the ethical implications of AI-driven hacking and learn how to responsibly use AI for cybersecurity purposes, adhering to legal and ethical frameworks. Stay ahead of the curve with discussions on emerging trends in AI and their impact on cybersecurity, such as AI-powered defences, deepfake detection, and autonomous threat hunting.
Mastering Black and White Hat hacking by Cybellium Ltd Pdf
Master the Art of Ethical Hacking with "Black and White Hat Hacking" by Kris Hermans In today's digital landscape, cybersecurity has become paramount. Understanding both the offensive and defensive sides of hacking is crucial for safeguarding digital assets. "Black and White Hat Hacking" by Kris Hermans is your comprehensive guide to mastering the art of ethical hacking and enhancing your cybersecurity skills. Inside this transformative book, you will: Learn the techniques and tools used by both black hat hackers, who exploit vulnerabilities, and white hat hackers, who protect against them. Gain a deep understanding of the various attack vectors, such as network and web application vulnerabilities, social engineering, and wireless security. Develop practical skills through hands-on exercises, real-world scenarios, and step-by-step tutorials to simulate both offensive and defensive hacking techniques. Understand the legal and ethical implications of hacking, and learn how to conduct penetration testing and vulnerability assessments in an ethical and responsible manner. Authored by Kris Hermans, a highly respected cybersecurity expert, "Black and White Hat Hacking" combines extensive practical experience with a passion for educating others. Kris's expertise shines through as they guide readers through the intricacies of ethical hacking, empowering them to defend against cyber threats effectively. Whether you're an aspiring cybersecurity professional, an IT enthusiast, or an ethical hacker looking to expand your skill set, "Black and White Hat Hacking" is your essential resource. Business owners, IT managers, and professionals responsible for safeguarding digital assets will also find valuable insights within these pages. Master the art of ethical hacking. Order your copy of "Black and White Hat Hacking" today and equip yourself with the knowledge and tools to strengthen cybersecurity defences.
In an era shaped by the rapid evolution of artificial intelligence, grappling with the ethical dimensions of AI technologies has become an imperative. "Mastering AI Ethics" is a groundbreaking guide that delves deep into the complexities of AI ethics, equipping readers with the insights required to navigate the ethical challenges posed by AI innovations. About the Book: In this thought-provoking book, readers are invited to explore the intricate web of ethical considerations surrounding AI development, deployment, and societal impact. With real-world examples, case studies, and actionable frameworks, "Mastering AI Ethics" empowers readers to make informed decisions and contribute to a future where AI serves the greater good. Key Features: Foundations of Ethical AI: The book lays a strong foundation by demystifying the core concepts that underpin AI ethics. Readers will develop a clear understanding of how ethical considerations intersect with AI technologies and why these intersections are crucial. Tackling Complex Ethical Dilemmas: Through a series of real-world scenarios, readers will grapple with intricate ethical dilemmas presented by AI. The book guides readers in analyzing and evaluating these scenarios, enabling them to cultivate the critical thinking skills needed to confront ethical challenges head-on. Frameworks for Ethical Decision-Making: "Mastering AI Ethics" introduces readers to practical frameworks and models designed to facilitate ethical decision-making in AI contexts. These frameworks empower readers to weigh conflicting interests, anticipate potential harms, and arrive at ethically sound solutions. Promoting Transparency and Accountability: The book delves into the concepts of transparency and accountability in AI development and deployment. Readers will discover how to foster transparency, hold AI systems accountable, and ensure responsible use of AI technologies. Societal Implications of AI: By examining broader societal implications, the book explores how AI influences areas such as privacy, bias, fairness, and social justice. Readers will gain insights into how AI technologies can amplify existing inequalities and how to design AI systems that mitigate these effects. Collaborative Ethical Practices: "Mastering AI Ethics" underscores the significance of collaborative efforts in shaping AI ethics. Readers will learn how interdisciplinary collaboration involving ethicists, technologists, policymakers, and stakeholders can drive more ethical AI development and deployment. Exploring Future Ethical Challenges: As AI continues to evolve, so do its ethical considerations. The book provides a forward-looking perspective on emerging trends in AI ethics, from the ethical implications of AI in healthcare to the challenges posed by autonomous systems and AI-driven decision-making. Who Should Read This Book: "Mastering AI Ethics" is an indispensable resource for AI practitioners, data scientists, ethicists, policymakers, and anyone concerned with the ethical implications of AI technologies. Whether you're an AI researcher aiming to integrate ethics into your work, a business leader exploring responsible AI implementation, or a curious citizen intrigued by AI's impact on society, this book equips you with the tools to engage in meaningful discussions and drive ethical change in the AI landscape.
Hacker Mindset: Psychological Tactics and Strategies for Mastering Social Engineering by Josh Luberisse Pdf
"Hacker Mindset: Psychological Tactics and Strategies for Mastering Social Engineering" is an authoritative and comprehensive guide that delves deep into the psychology of cyber attackers and equips cybersecurity professionals with the knowledge and tools to defend against social engineering attacks. This essential resource offers a unique blend of psychological insights and practical cybersecurity strategies, making it an invaluable asset for red teamers, ethical hackers, and security professionals seeking to enhance their skills and protect critical systems and assets. With a focus on understanding the hacker mindset, this book provides a thorough exploration of the techniques and methodologies used by social engineers to exploit human vulnerabilities. Gain a deep understanding of the psychological principles behind social engineering, including authority, scarcity, social proof, reciprocity, consistency, and emotional manipulation. Learn how attackers leverage these principles to deceive and manipulate their targets. Discover the latest tools and techniques for conducting advanced reconnaissance, vulnerability scanning, and exploitation, covering essential frameworks and software, such as Metasploit, Cobalt Strike, and OSINT tools like Maltego and Shodan. Explore the unique social engineering threats faced by various sectors, including healthcare, finance, government, and military, and learn how to implement targeted defenses and countermeasures to mitigate these risks effectively. Understand how AI, machine learning, and other advanced technologies are transforming the field of cybersecurity and how to integrate these technologies into your defensive strategies to enhance threat detection, analysis, and response. Discover the importance of realistic training scenarios and continuous education in preparing cybersecurity professionals for real-world threats. Learn how to design and conduct effective red team/blue team exercises and capture-the-flag competitions. Navigate the complex legal and ethical landscape of offensive cybersecurity operations with guidance on adhering to international laws, military ethics, and best practices to ensure your actions are justified, lawful, and morally sound. Benefit from detailed case studies and real-world examples that illustrate the practical application of social engineering tactics and defensive strategies, providing valuable lessons and highlighting best practices for safeguarding against cyber threats. "Hacker Mindset: Psychological Tactics and Strategies for Mastering Social Engineering" is designed to not only enhance your technical skills but also to foster a deeper understanding of the human element in cybersecurity. Whether you are a seasoned cybersecurity professional or new to the field, this book provides the essential knowledge and strategies needed to effectively defend against the growing threat of social engineering attacks. Equip yourself with the insights and tools necessary to stay one step ahead of cyber adversaries and protect your organization's critical assets.
Hacking Artificial Intelligence by Davey Gibian Pdf
Sheds light on the ability to hack AI and the technology industry’s lack of effort to secure vulnerabilities. We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. The ability to hack AI and the technology industry’s lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. Today, very few people—including those in influential business and government positions—are aware of the new risks that accompany automated systems. While society hurdles ahead with AI, we are also rushing towards a security and safety nightmare. This book is the first-ever layman’s guide to the new world of hacking AI and introduces the field to thousands of readers who should be aware of these risks. From a security perspective, AI is today where the internet was 30 years ago. It is wide open and can be exploited. Readers from leaders to AI enthusiasts and practitioners alike are shown how AI hacking is a real risk to organizations and are provided with a framework to assess such risks, before problems arise.
Mastering Machine Learning for Penetration Testing by Chiheb Chebbi Pdf
Become a master at penetration testing using machine learning with Python Key Features Identify ambiguities and breach intelligent security systems Perform unique cyber attacks to breach robust systems Learn to leverage machine learning algorithms Book Description Cyber security is crucial for both businesses and individuals. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, it’s important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes. This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you’ve gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you’ll see how to find loopholes and surpass a self-learning security system. As you make your way through the chapters, you’ll focus on topics such as network intrusion detection and AV and IDS evasion. We’ll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system. By the end of this book, you will be well-versed with identifying loopholes in a self-learning security system and will be able to efficiently breach a machine learning system. What you will learn Take an in-depth look at machine learning Get to know natural language processing (NLP) Understand malware feature engineering Build generative adversarial networks using Python libraries Work on threat hunting with machine learning and the ELK stack Explore the best practices for machine learning Who this book is for This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.
Mini Hacks for Minecrafters: Mastering 1.9 by Megan Miller Pdf
With Minecraft’s latest version, the Combat Update, everything you know and love about your favorite game has changed. Learn how to master Minecraft 1.9 with this all-encompassing guide to using the game’s new features! When you play the latest version of Minecraft, you’ll discover new features including poison-tipped arrows, dual-wielding axes and shields, and a meaner and badder Ender Dragon. From overhauled combat mechanics to a revamped End dimension, this guide covers everything you need to know about exciting new gameplay features, items, blocks, and entities, including: COMBAT TRICKS—like sweep attacks and crushing axe blows! MASTERING MONSTERS—how to summon, find, and beat the Ender Dragon, shulkers, and skeleton horse traps! TREASURE HUNTING AND EXPLORING—how to find treasure in igloos and End ships! And HOW TO FLY AND WALK ON WATER! Written for Minecrafters ages seven to twelve, this book is an unofficial “hacker’s” super guide. All the in-depth knowledge you expect from Megan Miller’s Hacks for Minecrafters series is available here in a smaller, more convenient size—pared down to just the essential tricks and tips you need to become a Combat Update expert!
In an age where cyber threats are ever-present, organizations need skilled professionals who can uncover vulnerabilities and protect their digital assets. In "Mastering Ethical Hacking," cybersecurity expert Kris Hermans presents a comprehensive guide to mastering the art of ethical hacking, empowering readers to strengthen their security defences and stay one step ahead of malicious actors. Hermans demystifies the world of ethical hacking, providing practical insights and hands-on techniques to help readers uncover vulnerabilities and assess the security posture of their systems. With a focus on ethical practices, this book equips readers with the knowledge and skills to identify weaknesses, conduct thorough penetration testing, and fortify their digital environments against cyber threats. Inside "Mastering Ethical Hacking," you will: 1. Understand the ethical hacking landscape: Explore the principles, methodologies, and legal frameworks that govern ethical hacking. Gain insights into the hacker mindset and learn how to adopt it for constructive purposes. 2. Master penetration testing techniques: Learn how to conduct comprehensive penetration tests to identify vulnerabilities in systems, networks, and applications. Discover industry-standard tools and techniques for assessing security and uncovering weaknesses. 3. Exploit vulnerabilities responsibly: Understand the intricacies of ethical exploitation. Learn how to responsibly exploit vulnerabilities, ensuring that systems are patched and secured against potential attacks. 4. Secure web applications: Explore techniques for securing web applications against common vulnerabilities such as cross-site scripting (XSS), SQL injection, and insecure direct object references. Learn how to assess web application security and implement proper defences. 5. Defend against social engineering attacks: Develop an understanding of social engineering techniques used by attackers and learn how to defend against them. Explore strategies for educating employees and raising awareness to create a security-conscious culture. With real-world examples, practical guidance, and actionable insights, "Mastering Ethical Hacking" equips readers with the knowledge and skills to navigate the world of ethical hacking. Kris Hermans' expertise as a cybersecurity expert ensures that readers have the tools and strategies to ethically assess and fortify their systems against cyber threats. Don't settle for reactive security measures. Empower yourself with the knowledge to proactively protect your digital assets. With "Mastering Ethical Hacking" as your guide, unleash the power of ethical hacking to secure your digital world.
Doctorpreneur: Hack Your Growth with AI and Digital Marketing by Dr. Rishi V. Aacharya Pdf
Doctorpreneur: Hack your Growth with AI and Digital Marketing Are you a doctor tired of feeling just like a cog in the healthcare machine? Do you dream of building a thriving practice that reflects your passion and values? This book is your call to action! Stop feeling frustrated and start feeling empowered. This guide, crafted specifically for Indian doctors, equips you with the knowledge and strategies to transform from a doctor to a doctorpreneur using the power of AI & Digital Marketing. Inside, you'll discover: The hidden challenges How to increase patient footfalls in your hospital / clinic Powerful marketing secrets using the power of AI and Digital Marketing Fast Results: Secrets to fuel your marketing journey and get faster results. Examples and Checklists to do self-assessment of your marketing and to know exactly what is to be asked from your digital marketing agency Actionable steps to build a sustainable and fulfilling practice on your own terms. This is more than just a book; it's a roadmap to: Marketing Automation with growth and results. Get the Free time You are always hunting for. ?? The ability to make a scale your healthcare business with 10x speed ?? Don't wait! Start your doctorpreneur journey today and unlock the true potential of your practice and yourself. Buy this book now and: Embrace the future of healthcare marketing. ???? Empower yourself and your marketing team. Become the doctorpreneur you were always meant to be! Remember, the healthcare marketing landscape is changing. Are you ready to change with it?
Bayesian Methods for Hackers by Cameron Davidson-Pilon Pdf
Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.
Bard Ai Prompt Engineering Mastery Playbook by Dwayne Anderson Pdf
Unlock Your Bard AI Mastery with the "Bard AI Prompts Engineering Mastery Playbook"! Are you ready to seize the full potential of Bard AI and elevate your prompt engineering skills to new heights? Look no further! Dive into this indispensable guide that not only reveals the secrets to mastering prompts but empowers you to capitalize on the unparalleled capabilities of Bard AI in every interaction. Understanding Prompts: Master the ins and outs, categories, and anatomy of prompts, laying a rock-solid foundation for your Bard AI journey. Best Practices: Discover writing principles that go beyond the basics, emphasizing clarity, specificity, and the strategic use of keywords for impactful communication. Optimizing Your Prompts: Immerse yourself in the art of crafting prompts with unmatched clarity, precision, and the exhilaration of experimentation, ensuring your messages resonate. Task-Specific Prompting: Tailor your prompts precisely to achieve your desired outcomes by seamlessly incorporating context and keywords that truly matter. Effective Prompt Examples: Gain invaluable insights with real-world examples tailored for various tasks, whether it's crafting poetic prose or developing compelling marketing slogans. Embark on your Bard AI journey with a head start! Receive the 100 Bard AI Compatible Prompts Starter #Giveaway , exclusively included in this handbook. This playbook is your go-to reference, providing a quick yet comprehensive guide to prompt engineering. Perfect for beginners and seasoned users alike, it empowers you to extract maximum value from Bard AI. Navigate the intricacies of prompt design effortlessly!
Machine Learning for Red Team Hackers by Dr Emmanuel Tsukerman Pdf
Everyone knows that AI and machine learning are the future of penetration testing. Large cybersecurity enterprises talk about hackers automating and smartening their tools; The newspapers report on cybercriminals utilizing voice transfer technology to impersonate CEOs; The media warns us about the implications of DeepFakes in politics and beyond...This book finally teaches you how to use Machine Learning for Penetration Testing.This book will be teaching you, in a hands-on and practical manner, how to use the Machine Learning to perform penetration testing attacks, and how to perform penetration testing attacks ON Machine Learning systems. It will teach you techniques that few hackers or security experts know about.You will learn- how to supercharge your vulnerability fuzzing using Machine Learning.- how to evade Machine Learning malware classifiers.- how to perform adversarial attacks on commercially-available Machine Learning as a Service models.- how to bypass CAPTCHAs using Machine Learning.- how to create Deepfakes.- how to poison, backdoor and steal Machine Learning models.And you will solidify your slick new skills in fun hands-on assignments.
Master the world of Python and Machine Learning with this incredible 4-in-1 bundle. Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning, and what it can do for you? Then keep reading. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Machine Learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you'll discover everything you need to know to get started with Python and Machine Learning, and begin your journey to success! In book one, MACHINE LEARNING FOR BEGINNERS, you'll learn: What is Artificial Intelligence Really, and Why is it So Powerful? Choosing the Right Kind of Machine Learning Model for You An Introduction to Statistics Reinforcement Learning and Ensemble Modeling "Random Forests" and Decision Trees And Much More! In book two, MACHINE LEARNING MATHEMATICS, you will: Learn the Fundamental Concepts of Machine Learning Algorithms Understand The Four Fundamental Types of Machine Learning Algorithm Master the Concept of "Statistical Learning" Learn Everything You Need to Know about Neural Networks and Data Pipelines Master the Concept of "General Setting of Learning" And Much More! In book three, LEARNING PYTHON, you'll discover: How to Install, Run, and Understand Python on Any Operating System A Comprehensive Introduction to Python Python Basics and Writing Code Writing Loops, Conditional Statements, Exceptions and More Python Expressions and The Beauty of Inheritances And More! And in book four, PYTHON MACHINE LEARNING, you will: Learn the Fundamentals of Machine Learning Master the Nuances of 12 of the Most Popular and Widely-Used Machine Learning Algorithms Become Familiar with Data Science Technology Dive Into the Functioning of Scikit-Learn Library and Develop Machine Learning Models Uncover the Secrets of the Most Critical Aspect of Developing a Machine Learning Model - Data Pre-Processing and Training/Testing Subsets And So Much More! Whether you're a complete beginner or a programmer looking to improve your skillset, this bundle is your all-in-one solution to mastering the world of Python and Machine Learning. So don't wait - it's never been easier to learn. Buy now to become a master of Python and machine learning today! Scroll Up and Click the BUY NOW Button to Get Your Copy!
