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Readers will learn how to determine what evidence exists and how to find it on a device, as well as what story it tells about the activities on the device. Over 100 images and tables are included to aid in reader comprehension, and case studies are included at the end of the book to elucidate core concepts throughout the text. To get the most value from this book, readers should be familiar with how a computer operates (e.g., CPU, RAM, and disk), be comfortable interacting with both Windows and Linux operating systems as well as Bash and PowerShell commands and have a basic understanding of Python and how to execute Python scripts. 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Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53652083573015,"sku":null,"price":10857.32,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/1423550.webp?v=1784034649"},{"product_id":"agile-software-development-9781119896814","title":"Agile Software Development","description":"\u003cp\u003eAGILE SOFTWARE DEVELOPMENT A unique title that introduces the whole range of agile software development processes from the fundamental concepts to the highest levels of applications such as requirement analysis, software testing, quality assurance, and risk management. 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With the use of diverse techniques, guiding principles, artificial intelligence, soft computing, and machine learning, this book seeks to study theoretical and technological research findings on all facets of ASD. Also, it sheds light on the latest trends, challenges, and applications in the area of ASD. This book explores the theoretical as well as the technical research outcomes on all the aspects of Agile Software Development by using various methods, principles, artificial intelligence, soft computing, and machine learning. Audience The book is designed for computer scientists and software engineers both in research and industry. 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The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. 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The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. 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Effective Vulnerability Management takes a fresh look at a core component of cybersecurity, revealing the practices, processes, and tools that can enable today's organizations to mitigate risk efficiently and expediently in the era of Cloud, DevSecOps and Zero Trust. Every organization now relies on third-party software and services, ever-changing cloud technologies, and business practices that introduce tremendous potential for risk, requiring constant vigilance. It's more crucial than ever for organizations to successfully minimize the risk to the rest of the organization's success. This book describes the assessment, planning, monitoring, and resource allocation tasks each company must undertake for successful vulnerability management. And it enables readers to do away with unnecessary steps, streamlining the process of securing organizational data and operations. It also covers key emerging domains such as software supply chain security and human factors in cybersecurity. Learn the important difference between asset management, patch management, and vulnerability management and how they need to function cohesively Build a real-time understanding of risk through secure configuration and continuous monitoring Implement best practices like vulnerability scoring, prioritization and design interactions to reduce risks from human psychology and behaviors Discover new types of attacks like vulnerability chaining, and find out how to secure your assets against them Effective Vulnerability Management is a new and essential volume for executives, risk program leaders, engineers, systems administrators, and anyone involved in managing systems and software in our modern digitally-driven society.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53681703682327,"sku":null,"price":3532.71,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9781394221219_289e33ce-850a-4a0d-b670-132399a00c30.jpg?v=1783946971"},{"product_id":"scaling-responsible-ai-9781394289653","title":"Scaling Responsible AI","description":"\u003cp\u003eImplement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails Much like a baby tiger in the wild, artificial intelligence is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky. In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI. In this groundbreaking book, Noelle Russell reveals an executable framework to: Harness AI's full potential while safeguarding your firm's reputation Mitigate bias, accuracy, privacy, and cybersecurity risks from the start Make informed choices by seeing through the hype and identifying true AI value Develop an ethical AI culture across teams and leadership Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver. 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As we stand on the brink of a new technological frontier, the convergence of artificial intelligence, machine learning, and network infrastructure promises to revolutionize the way we harness the power of digital ecosystems. The vision of a hyper-intelligent network transcends conventional notions of connectivity and represents a paradigm shift where networks evolve from mere conduits of data to dynamic entities with cognitive capabilities, adaptability, and autonomous decision-making abilities. This book delves into the emerging field of hyper-intelligent networks, exploring how these networks are poised to revolutionize various sectors, including telecommunications, healthcare, finance, and transportation. It provides a comprehensive overview of the theoretical foundations, practical applications, and future implications of hyper-intelligent networks, offering a deeper understanding of this cutting-edge technology. Written by leading experts in the fields of artificial intelligence and networking, the book has a multidisciplinary approach that combines theoretical insights with real-world case studies and practical examples. It is suitable for both technical professionals seeking to deepen their understanding of hyper-intelligent networks and non-technical readers interested in the potential impact of these technologies on society. Readers will find the book: Discusses different applications of hyper-intelligent networks in various industries;Introduces the innovative potential of hyper-intelligent networks;Presents state-of-the-art analyses and real-world case studies demonstrating hyper-intelligent networks;Provides a comprehensive look at applications of hyper-intelligent networks across a number of industries. 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Edited by Aynur Sarisakaloglu and Martin L ffelholz, this foundational volume brings together 37 leading scholars from six continents to examine how AI is redefining the structures, practices, and epistemologies of journalism. Organized around key thematic areas, the Handbook investigates the driving forces propelling the algorithmic transformation and unveils emerging trends in journalistic practice and journalism research, moving beyond Western-centric perspectives to incorporate diverse global experiences and knowledge production. Twenty-eight original chapters address systemic shifts such as evolving structures of media organizations, changing roles of actors, transformations in news production routines, and shifting patterns of news consumption. By integrating theoretical, empirical, and practical perspectives, the Handbook sets the stage for a new research agenda for understanding AI-driven journalism on a global scale. Containing rigorous interdisciplinary scholarship and broad geographical coverage, The Handbook of Artificial Intelligence and Journalism: Integrates theoretical foundations, empirical studies, and practical applications in a cohesive structure Offers insights into journalism practices across a wide range of geographical contexts and engages with approaches that transcends Western-dominated paradigms, incorporating perspectives from the Global South Employs interdisciplinary frameworks to enhance the understanding of AI-driven journalism Examines the sociotechnical dynamics of AI, including its potential benefits and challenges for journalism Presents forward-looking reflections on the future of journalism research in the AI era The Handbook of Artificial Intelligence and Journalism is ideal for undergraduate, graduate, and doctoral students in journalism, communication, and media studies programs. 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In an age defined by technological breakthroughs and environmental challenges, this book delves into the transformative intersection of sustainability, logistics, and supply chain management. It offers a comprehensive exploration of how cutting-edge technologies like artificial intelligence, machine learning, and big data analytics are revolutionizing logistics operations. By optimizing routes, reducing emissions, and enhancing resource utilization, these tools empower businesses to embrace smarter, greener practices that align with today s sustainability goals. Beyond technology, the book addresses critical challenges, such as navigating the complexities of implementing sustainable solutions, overcoming operational resistance, and ensuring economic viability. It offers actionable strategies to foster resilience in supply chains, especially in the face of global disruptions such as pandemics and disruption to global trade. With a strong focus on circular economy principles, it provides practical frameworks for integrating reuse, recycling, and efficient waste management into supply chains, all while balancing environmental consciousness with economic imperatives. Rich in insights and real-world applications, this book is an essential resource for supply chain professionals, sustainability advocates, policymakers, and researchers. Whether you re looking to innovate your operations, enhance resilience, or contribute to a sustainable future, this book equips you with the knowledge and tools to lead the way in modern logistics. Readers will find the book: Offers a comprehensive analysis of how sustainability, artificial intelligence, and the circular economy are reshaping modern logistics and supply chain management; Provides actionable strategies to overcome challenges such as high implementation costs and operational resistance in adopting green logistics practices; Explores resilience strategies to mitigate supply chain vulnerabilities exposed by global disruptions, including pandemics; Highlights cutting-edge applications of AI, big data, and machine learning to optimize logistics operations for efficiency and reduced environmental impact; Delivers practical insights into integrating circular economy principles and fostering collaboration between industry, policymakers, and researchers. Audience Academics, researchers, supply chain and logistics professionals, sustainability advocates, technology specialists, and policymakers focused on sustainability and efficiency in the supply chain.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53681805689111,"sku":null,"price":22905.72,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9781394238521.jpg?v=1783946986"},{"product_id":"x86-software-reverse-engineering-cracking-and-counter-measures-9781394199891","title":"x86 Software Reverse-Engineering, Cracking, and Counter-Measures","description":"\u003cp\u003eA crystal-clear and practical blueprint to software disassembly x86 Software Reverse-Engineering, Cracking, and Counter-Measures is centered around the world of disassembling software. It will start with the basics of the x86 assembly language, and progress to how that knowledge empowers you to reverse-engineer and circumvent software protections. No knowledge of assembly, reverse engineering, or software cracking is required. The book begins with a bootcamp on x86, learning how to read, write, and build in the assembly that powers a massive amount of the world s computers. Then the book will shift to reverse engineering applications using a handful of industry favorites such as IDA, Ghidra, Olly, and more. Next, we move to cracking with techniques such as patching and key generation, all harnessing the power of assembly and reverse engineering. Lastly, we ll examine cracking from a defensive perspective. Providing learners with techniques to be a better defender of their own software, or knowledge to crack these techniques more effectively. 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