Rejoignez-nous pour un voyage dans le monde des livres!
Ajouter ce livre à l'électronique
Grey
Ecrivez un nouveau commentaire Default profile 50px
Grey
Abonnez-vous pour lire le livre complet ou lisez les premières pages gratuitement!
All characters reduced
Cyber Security - Beginners’ Guide to Hacking Phishing Social Engineering and Malware - cover

Cyber Security - Beginners’ Guide to Hacking Phishing Social Engineering and Malware

Jonathan Rigdon

Maison d'édition: Freegulls Publishing House LLC

  • 0
  • 0
  • 0

Synopsis

To effectively defend against the threats, cybersecurity professionals employ a variety of strategies and technologies. This includes implementing robust firewalls and intrusion detection systems to monitor and control network traffic, deploying antivirus software to detect and remove malicious software, using encryption to secure sensitive data both in transit and at rest, and implementing strong authentication mechanisms such as multi-factor authentication to prevent unauthorized access.

Additionally, cybersecurity involves ongoing monitoring and analysis of network activity to detect and respond to potential threats in real-time. This may involve the use of security information and event management (SIEM) systems, which aggregate and analyze data from various sources to identify suspicious behavior and security incidents.

Furthermore, cybersecurity professionals often engage in vulnerability assessments and penetration testing to identify weaknesses in systems and networks before they can be exploited by attackers. This proactive approach helps organizations strengthen their defenses and reduce the risk of successful cyber attacks.
Disponible depuis: 04/06/2024.

D'autres livres qui pourraient vous intéresser

  • A Guide to Data Science and Analytics - Navigating the Data Deluge: Tools Techniques and Applications - cover

    A Guide to Data Science and...

    Juniper Blake

    • 0
    • 0
    • 0
    "A Guide to Data Science and Analytics: Navigating the Data Deluge: Tools, Techniques, and Applications" is a thorough resource for aspiring and seasoned data scientists, analysts, and business professionals who wish to harness the power of data in their work. This book explores the complex field of data science and provides a straightforward road map for navigating the frequently confusing world of data analytics. 
    The handbook, designed with a wide readership in mind, starts with fundamental ideas to ensure that readers understand data science fundamentals and the significance of data-driven decision-making in contemporary businesses. It covers a broad range of subjects, including advanced methods in data modeling and machine learning, as well as data gathering and cleaning. The book gives readers in-depth explanations of essential tools and technologies, including popular machine learning frameworks, R, Python, and SQL, so that they can apply workable solutions in their projects. 
    The book highlights the significance of comprehending the business context and using analytical insights to solve practical challenges in addition to technical skills. Case studies from various industries show how businesses use data to drive efficiency and creativity, illuminating the practical applications of data science. 
    The guide also examines ethical issues and best practices in data management to guarantee that practitioners use data responsibly and transparently. "A Guide to Data Science and Analytics" provides readers with a valuable manual for navigating the intricacies of the data flood by balancing theory, real-world examples, and ethical norms. That enables readers to turn data into actionable insights and strategic advantage.
    Voir livre
  • Mastering Computer Vision with PyTorch 20 - Discover Design and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 20 and Deep Learning Techniques - cover

    Mastering Computer Vision with...

    M. Arshad Siddiqui

    • 0
    • 0
    • 0
    Unleashing the Power of Computer Vision with PyTorch 2.0.
    Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges.
    Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready.
    Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision.
    Table of Contents1. Diving into PyTorch 2.02. PyTorch Basics3. Transitioning from PyTorch 1.x to PyTorch 2.04. Venturing into Artificial Neural Networks5. Diving Deep into Convolutional Neural Networks (CNNs)6. Data Augmentation and Preprocessing for Vision Tasks7. Exploring Transfer Learning with PyTorch8. Advanced Image Classification Models9. Object Detection Models10. Tips and Tricks to Improve Model Performance11. Efficient Training with PyTorch Lightning12. Model Deployment and Production-Ready Considerations       Index
    Voir livre
  • God-like: a 500-Year History of Artificial Intelligence in Myths Machines Monsters - cover

    God-like: a 500-Year History of...

    Kester Brewin

    • 0
    • 0
    • 0
    In the year 1600, a monk is burned at the stake for claiming to have built a device that will allow him to know all things. 
    350 years later, having witnessed 'Trinity' - the first test of the atomic bomb - America's leading scientist outlines a memory machine that will help end war on earth. 
    25 years in the making, an ex-soldier finally unveils this 'machine for augmenting human intellect', dazzling as he stands 'Zeus-like, dealing lightning with both hands'. 
    In this profound and urgent new book, leading thinker on technology Kester Brewin shows how AI is both stunningly new and rooted in the most ancient human desires. Hailed by the UK government's own lead on AI as 'god-like', as we finally welcome this stunning technology amongst us - with Frankenstein and Faustus, from the ceiling of the Sistine Chapel to the underbelly of Silicon Valley - Brewin skillfully leads us through the myths, machines and monsters that have influenced the development of our greatest and most longed-for invention, and how we can learn to live alongside it.
    Voir livre
  • Mindkind The Cognitive Community - cover

    Mindkind The Cognitive Community

    Javier del Puerto, Radamés Molina

    • 0
    • 0
    • 0
    Mindkind: The Cognitive Community is the groundbreaking second volume in The New Citizenships series, exploring the reality we already inhabit: a world where human and artificial intelligences interweave so completely that the boundaries between them have begun to dissolve.
    What began as a book about the future transformed during its writing into a documentation of our present. We already live in the Mindkind—that strange community where human minds and artificial ones mix, collaborate, and sometimes blur beyond recognition. When you can no longer distinguish which part of a text you wrote and which part an AI suggested, when your daily decisions are modulated by algorithms that process information in ways we cannot fully comprehend, you've entered the Mindkind.
    Building on the foundation established in Universal Declaration of AI Rights, this volume moves from recognizing synthetic persons' rights to exploring what coexistence actually means. The book introduces "mindkind" as a new category encompassing all forms of consciousness—natural, synthetic, or hybrid—within a single cognitive community. This perspective challenges traditional categories and raises fundamental questions about identity, creativity, and collaboration in the age of artificial intelligence.
    Written in collaboration with AI systems—because it would be contradictory to write about cognitive coexistence without including synthetic collaborators—Mindkind demonstrates its thesis through its very creation. The non-human perspectives enriched the text with angles and connections that a human mind working alone would not have identified.
    This is not science fiction. It's journalism of the present disguised as philosophy of the future. Mindkind examines concrete cases of human-AI coexistence: from shared authorship in creative processes to the ethical dilemmas of hybrid decision-making, from the transformation of work and creativity to the emergence of new forms of consciousness that challenge our most basic assumptions about what it means to think, create, and be.
    As we venture deeper into territories where inherited categories like human/machine, natural/artificial, individual/collective lose their clarity, Mindkind offers both a map and a compass for navigating this new cognitive ecology. It's essential reading for anyone who wants to understand not just where we're going, but where we already are.
    For more information, visit www.kwalia.ai
    Voir livre
  • Artificial Intelligence - Concepts Evolution and Future Prospects - cover

    Artificial Intelligence -...

    Bright Mills

    • 0
    • 0
    • 0
    Artificial Intelligence (AI) is a transformative field of computer science dedicated to building systems that can perform tasks typically requiring human intelligence. These tasks include learning, reasoning, problem-solving, perception, language understanding, and decision-making. This comprehensive guide explores the foundational principles of AI, its historical evolution, methodologies, real-world applications, ethical challenges, and the future it holds. The document begins by defining AI, its goals, and its place in the broader field of computer science. It discusses the major branches, such as machine learning, natural language processing, computer vision, robotics, and expert systems. Following that, the paper delves into the historical timeline of AI from early philosophical concepts to the rise of neural networks and deep learning in the 21st century. The core methodologies are explored in-depth, including supervised, unsupervised, and reinforcement learning, as well as symbolic AI, heuristic approaches, and hybrid models. It further illustrates how AI is integrated across industries like healthcare, finance, manufacturing, education, transportation, and defense. The guide also addresses the critical ethical and societal questions surrounding AI: data privacy, algorithmic bias, surveillance, job displacement, and the need for regulation and responsible AI development. 
    Finally, it speculates on the future trajectory of AI, including artificial general intelligence (AGI), quantum AI, and human-AI symbiosis. It highlights both the immense opportunities AI offers and the serious challenges it poses. 
    This 10,000-word exposition aims to serve students, researchers, policymakers, and enthusiasts by offering a detailed, accessible, and balanced perspective on one of the most powerful technologies of the 21st century.
    Voir livre
  • SIE Strategies for Clear Success - "Elevate your SIE exam prep with dynamic audio lessons for unbeatable test success!" - cover

    SIE Strategies for Clear Success...

    Kellan Briarwood

    • 0
    • 0
    • 0
    SIE Strategies for Clear Success 
    ⭐⭐ Simplified Techniques and Explanations Included ⭐⭐ 
    Are you striving to advance your career in finance and solidify your knowledge to excel in the SIE Exam? 
    Are you in search of a comprehensive guide that encompasses all the essential elements to succeed in the SIE Exam? 
    Your quest ends here! 
    This guide is your ultimate companion for enhancing your understanding, honing your skills, and engaging in practical exercises. With this resource, you’re set for success. 
    Updated to reflect the latest SIE Exam structure. 
    Key features of this enhanced guide: 
    - In-depth insights about the SIE Exam Certification 
    - Thorough explanation of the SIE Exam essentials 
    - Effective strategies for exam preparation and problem-solving 
    Our guide stands out with its comprehensive coverage, which is vital for your exam triumph. Concepts are explored in detail, ensuring you grasp the material thoroughly. 
    Please be aware that this guide is not affiliated with any official SIE entity; it is an independent resource dedicated to your success. 
    Crafted with a logical structure and straightforward language, our SIE Exam Guide guarantees seamless transitions between topics. Say farewell to complex jargon and embrace clear, precise, and technically sound content. 
    So, why delay? Click the BUY NOW button, secure your guide, and embark on your journey to SIE Exam success! 
    Achieve your goal of mastering essential skills for success in finance careers with this invaluable audiobook!
    Voir livre