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Deep Reinforcement Learning: Fundamentals, Research and Applications
by Hao Dong Zihan Ding Shanghang ZhangDeep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.
Deep Sciences for Computing and Communications: First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers (Communications in Computer and Information Science #1719)
by Utku Kose Ali Kashif Bashir Kottilingam Kottursamy Annie UthraThis book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022.The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.
Deep Sciences for Computing and Communications: Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part I (Communications in Computer and Information Science #2176)
by Utku Kose Ali Kashif Bashir Kottilingam Kottursamy Annie Uthra R. Gunasekaran Raja Revathi Appavoo Vimaladevi MadhivananThis two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.
Deep Sciences for Computing and Communications: Second International Conference, IconDeepCom 2023, Chennai, India, April 20–22, 2023, Proceedings, Part II (Communications in Computer and Information Science #2177)
by Utku Kose Ali Kashif Bashir Kottilingam Kottursamy Annie Uthra R. Gunasekaran Raja Revathi Appavoo Vimaladevi MadhivananThis two-volume set, CCIS 2176-2177, constitutes the proceedings from the Second International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2023, held in Chennai, India, in April 2023. The 74 full papers and 8 short papers presented here were thoroughly reviewed and selected from 252 submissions. The papers presented in these two volumes are organized in the following topical sections: Part I: Applications of Block chain for Digital Landscape; Deep Learning approaches for Multipotent Application; Machine Learning Techniques for Intelligent Applications; Industrial use cases of IOT; NLP for Linguistic Support; Convolution Neural Network for Vision Applications. Part II: Optimized Wireless Sensor Network Protocols; Cryptography Applications for Enhanced Security; Implications of Networking on Society; Deep Learning Model for Health informatics; Web Application for Connected Communities; Intelligent Insights using Image Processing; Precision Flood Prediction Models.
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms (Natural Computing Series)
by Peter Korošec Tome EftimovFocusing on comprehensive comparisons of the performance of stochastic optimization algorithms, this book provides an overview of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios.The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches. The book is divided into three parts:Part I: Introduction to optimization, benchmarking, and statistical analysis – Chapters 2-4.Part II: Deep Statistical Comparison of meta-heuristic stochastic optimization algorithms – Chapters 5-7.Part III: Implementation and application of Deep Statistical Comparison – Chapter 8.
Deep Swarm and Evolution for Generative Artificial Intelligence
by Hitoshi IbaThis book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the “emergence” concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of “emergence” and to explain the feasibility of AI. To this end, it focuses on human perceptions of “utility.” It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.The book describes the intelligent behaviour of living organisms. This is to clarify how to achieve AI in the direction of artificial life. It describes sexual selection, which is a well-known natural phenomenon that troubled Darwin, i.e., why evolutionarily useless items evolved such as peacock feathers and moose antlers etc. The book shows how sexual selection is extended as “novelty search” for the application of generative AI, i.e., the image generation with diffusion model. Real-world applications are emphasised. Empirical examples from real-world data show how the concept of deep swarm and evolution is successfully applied when addressing tasks from such recent fields as robotics, e-commerce Web Shop and image generation etc.
Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
by Garry Kasparov Mig GreengardGarry Kasparov's 1997 chess match against the IBM supercomputer Deep Blue was a watershed moment in the history of technology. It was the dawn of a new era in artificial intelligence: a machine capable of beating the reigning human champion at this most cerebral game. That moment was more than a century in the making, and in this breakthrough book, Kasparov reveals his astonishing side of the story for the first time. He describes how it felt to strategize against an implacable, untiring opponent with the whole world watching, and recounts the history of machine intelligence through the microcosm of chess, considered by generations of scientific pioneers to be a key to unlocking the secrets of human and machine cognition. Kasparov uses his unrivaled experience to look into the future of intelligent machines and sees it bright with possibility. As many critics decry artificial intelligence as a menace, particularly to human jobs, Kasparov shows how humanity can rise to new heights with the help of our most extraordinary creations, rather than fear them. Deep Thinking is a tightly argued case for technological progress, from the man who stood at its precipice with his own career at stake.
Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
by Garry KasparovIn May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology: machine intelligence had arrived at the point where it could best human intellect.It wasn't a coincidence that Kasparov became the symbol of man's fight against the machines. Chess has long been the fulcrum in development of machine intelligence; the hoax automaton 'The Turk' in the 18th century and Alan Turing's first chess program in 1952 were two early examples of the quest for machines to think like humans -- a talent we measured by their ability to beat their creators at chess. As the pre-eminent chessmaster of the 80s and 90s, it was Kasparov's blessing and his curse to play against each generation's strongest computer champions, contributing to their development and advancing the field. Like all passionate competitors, Kasparov has taken his defeat and learned from it. He has devoted much energy to devising ways in which humans can partner with machines in order to produce results better than either can achieve alone. During the twenty years since playing Deep Blue, he's played both with and against machines, learning a great deal about our vital relationship with our most remarkable creations. Ultimately, he's become convinced that by embracing the competition between human and machine intelligence, we can spend less time worrying about being replaced and more thinking of new challenges to conquer.In this breakthrough book, Kasparov tells his side of the story of Deep Blue for the first time -- what it was like to strategize against an implacable, untiring opponent -- the mistakes he made and the reasons the odds were against him. But more than that, he tells his story of AI more generally, and how he's evolved to embrace it, taking part in an urgent debate with philosophers worried about human values, programmers creating self-learning neural networks, and engineers of cutting edge robotics.
Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins
by Garry KasparovGarry Kasparov gives his first public account of his landmark 1997 chess match with the IBM supercomputer Deep Blue, and explains why, twenty years later, he's become convinced that artificial intelligence is good for humans.In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology: machine intelligence had arrived at the point where it could best human intellect.It wasn't a coincidence that Kasparov became the symbol of man's fight against the machines. Chess has long been the fulcrum in development of machine intelligence; the hoax automaton 'The Turk' in the 18th century and Alan Turing's first chess program in 1952 were two early examples of the quest for machines to think like humans - a talent we measured by their ability to beat their creators at chess. As the pre-eminent chessmaster of the 80s and 90s, it was Kasparov's blessing and his curse to play against each generation's strongest computer champions, contributing to their development and advancing the field. Like all passionate competitors, Kasparov has taken his defeat and learned from it. He has devoted much energy to devising ways in which humans can partner with machines in order to produce results better than either can achieve alone. During the twenty years since playing Deep Blue, he's played both with and against machines, learning a great deal about our vital relationship with our most remarkable creations. Ultimately, he's become convinced that by embracing the competition between human and machine intelligence, we can spend less time worrying about being replaced and more thinking of new challenges to conquer.In this breakthrough book, Kasparov tells his side of the story of Deep Blue for the first time - what it was like to strategize against an implacable, untiring opponent - the mistakes he made and the reasons the odds were against him. But more than that, he tells his story of AI more generally, and how he's evolved to embrace it, taking part in an urgent debate with philosophers worried about human values, programmers creating self-learning neural networks, and engineers of cutting edge robotics.(P)2017 Hachette Audio
Deep and Shallow: Machine Learning in Music and Audio
by Shlomo Dubnov Ross GreerProviding an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarize readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state-of-the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music, and AI.
Deep-Dive Terraform on Azure: Automated Delivery and Deployment of Azure Solutions
by Ritesh ModiGet started with the foundations of Infrastructure as Code and learn how Terraform can automate the deployment and management of resources on Azure. This book covers all of the software engineering practices related to Terraform and Infrastructure as Code with Azure as a cloud provider.The book starts with an introduction to Infrastructure as Code and covers basic concepts, principles, and tools, followed by an overview of Azure and Terraform that shows you how Terraform can be used to provision and manage Azure resources. You will get started writing multiple Terraform scripts and explore its various concepts. Author Ritesh Modi takes a deep dive into Terraform and teaches you about deployment and multiple resource creation using loops. Writing a reusable script using modules is discussed as well as management and administration of secrets, sensitive data, and passwords within Terraform code. You will learn to store and version Terraform scripts and know how Terraform is used in Azure DevOps pipelines. And you will write unit and integration tests for Terraform and learn its best practices. The book also highlights and walks through the Terraform Azure Provider and shows you a simple way to create a new Terraform provider.After reading this book, you will be able to write quality Terraform scripts that are secure by design, modular, and reusable in Azure.What Will You LearnUnderstand implementation within infrastructure and application deploymentsProvision resources in Azure using TerraformUse unit and integration testingExplore concepts such as local vs remote, importing state, workspaces, and backends Who This Book Is ForSoftware engineers, DevOps professionals, and technology architects
Deep-Level Gold and Platinum Mining: The Application of Geophysics in South Africa
by Michael van Schoor Zamaswazi Nkosi Fleckson Magweregwede Thabang KgarumeThis book provides the basic know-how and guidance to effectively exploit non-destructive geophysical technologies and apply them in the underground mining environment to optimise mineral extraction and to contribute to safer mining. The effective application of these technologies can enable a better understanding of the unseen orebody and the surrounding rock mass ahead of the mining face; the potential benefits of applying in-mine geophysics is demonstrated through a selection of case studies conducted in deep-level hard rock mines in South Africa. This book also offers valuable insight and training material for students in a variety of relevant mining disciplines like geology, rock engineering, mining engineering, mine planning and mineral resource management.
DeepFakes: Creation, Detection, and Impact
by Loveleen GaurDeepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth. Provides a technical introduction to DeepFakes, its benefits, and the potential harms Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications Discusses future research directions with emergence of DeepFakes technology This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.
Deeper Learning Through Technology: Using the Cloud to Individualize Instruction
by Kenneth P. HallaUse the Cloud to Individualize Your Instruction and Watch Your Students Thrive! The advent of cloud-stored data that can be entered, changed, and accessed anywhere is a development full of potential for today’s classroom. This book is the all-in-one resource you need to be sure your students reap the fullest rewards from cloud-based developments. Teacher and top ed-blogger Ken Halla explains: Strategies for leveraging the cloud to create a self-paced, learner-centered classroom How to take advantage of tech tools to facilitate learning Real-life case studies and activities to ensure an enjoyable implementation experience. Stay ahead of the curve with Ken Halla’s strategies, which you can implement the next morning. "Halla′s book, written from practitioner experience, provides practical and simple integration techniques that will assist both novice and experienced teachers incorporate technology to enhance student learning." —Eric Sheninger, author of Digital Leadership, Changing Paradigms for Changing Times "This is a must read--a detailed nuts and bolts guide to classroom tools in the cloud." —Michael B. Horn, Co-Founder and Director, Christensen Institute Author of Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. "Whether you are an ed tech veteran or just getting started, Halla′s book will help you tailor learning to meet the needs of your students. This book will help you create the learner-focused classroom you want to build! A must-have resource for today′s teachers!" —Jaime Casap, Global Education Evangelist Google
Deeper Learning Through Technology: Using the Cloud to Individualize Instruction
by Kenneth P. HallaUse the Cloud to Individualize Your Instruction and Watch Your Students Thrive! The advent of cloud-stored data that can be entered, changed, and accessed anywhere is a development full of potential for today’s classroom. This book is the all-in-one resource you need to be sure your students reap the fullest rewards from cloud-based developments. Teacher and top ed-blogger Ken Halla explains: Strategies for leveraging the cloud to create a self-paced, learner-centered classroom How to take advantage of tech tools to facilitate learning Real-life case studies and activities to ensure an enjoyable implementation experience. Stay ahead of the curve with Ken Halla’s strategies, which you can implement the next morning. "Halla′s book, written from practitioner experience, provides practical and simple integration techniques that will assist both novice and experienced teachers incorporate technology to enhance student learning." —Eric Sheninger, author of Digital Leadership, Changing Paradigms for Changing Times "This is a must read--a detailed nuts and bolts guide to classroom tools in the cloud." —Michael B. Horn, Co-Founder and Director, Christensen Institute Author of Disrupting Class: How Disruptive Innovation Will Change the Way the World Learns. "Whether you are an ed tech veteran or just getting started, Halla′s book will help you tailor learning to meet the needs of your students. This book will help you create the learner-focused classroom you want to build! A must-have resource for today′s teachers!" —Jaime Casap, Global Education Evangelist Google
Deeper Learning With QR Codes and Augmented Reality: A Scannable Solution for Your Classroom (Corwin Teaching Essentials)
by Monica BurnsEngaging, interactive learning—right in your students’ hands! What if your students’ mobile devices became an instructional asset rather than a distraction? Discover how free, scannable technology can enrich learning, while captivating students. Best of all, these technologies are easy to quickly implement within your classroom. Learn about QR codes and Augmented Reality (AR) Reach each student with new, hands-on learning opportunities Embrace the ACES Framework for teaching with scannable technologies: Access, Curate, Engage, and Share Promote self-directed learning and showcase students’ creations Leverage technology to connect classroom activities with students’ families and the broader community
Deeper Learning With QR Codes and Augmented Reality: A Scannable Solution for Your Classroom (Corwin Teaching Essentials)
by Monica BurnsEngaging, interactive learning—right in your students’ hands! What if your students’ mobile devices became an instructional asset rather than a distraction? Discover how free, scannable technology can enrich learning, while captivating students. Best of all, these technologies are easy to quickly implement within your classroom. Learn about QR codes and Augmented Reality (AR) Reach each student with new, hands-on learning opportunities Embrace the ACES Framework for teaching with scannable technologies: Access, Curate, Engage, and Share Promote self-directed learning and showcase students’ creations Leverage technology to connect classroom activities with students’ families and the broader community
Deeper Learning: A Voice from Laboratory to Classroom (China Perspectives)
by Hang HuIntegrating brain science, cognitive psychology, education and information technology, the books studies how technology promoted deeper learning on mathematics in Chinese primary schools. After introducing the theoretical basis, connotation and mechanism of deeper learning, the author fully explains its practice, including the composition of deeper learning teaching content, the development of digital resources, classroom teaching technology and teachers' professional development of deeper learning. He especially adopts multiple and interdisciplinary research methods, such as deeper learning "triangle evidence" paradigm, learning brain observation, education big data analysis, artificial intelligence education analysis, education action, qualitative and quantitative research. On one hand, the book will give researchers of learning theory and pedagogy an in-depth understanding of what deeper learning is and why it provides a systematic theoretical system; on the other hand, it will also provide school practitioners with operational methods and cases to learn from.
Deepfake
by Sarah Darer LittmanWhat happens when anyone can make a video of you saying anything?Dara Simons and Will Halpern have everything they've ever wanted. They are the rulers of Greenpoint High's geekdom, overachieving in every way, and it's an intense competition to see who will be valedictorian. One the entire school is invested in. That is, until Rumor Has It, the anonymous gossip site, posts a video of Dara accusing Will of paying someone to take the SAT for him.When the video goes viral, suddenly Will's being investigated, and everyone's wondering how he pulled off cheating on the SAT. But Dara swears that she didn't say any of those things, which seems a little hard to believe since it's her in the video.Did Will cheat?Is it Dara saying he did?Who's lying, and who's telling the truth?The answer is more shocking than anyone realizes...
Deepfakes und Recht: Einführung in den deutschen Rechtsrahmen für synthetische Medien (essentials)
by Martina BlockWelche Möglichkeiten gibt es, sich vor den Gefahren von Deepfakes – also künstlich erstellten oder manipulierten Inhalten – zu schützen? In diesem Buch werden Anwendungsbereiche von Deepfakes dargestellt und die technischen Grundlagen zur Erstellung und Aufdeckung von Deepfakes vorgestellt.Es wird eine Einordnung in die verschiedenen Bereiche des deutschen Rechts (allgemeines Zivilrecht, Urheberrecht und Strafrecht) vorgenommen. Hierbei liegt ein besonderes Augenmerk darauf, welche Rechtsschutzmöglichkeiten Betroffenen – also Personen, die gegen ihren Willen abgebildet werden – zustehen und welche Hindernisse bei der Durchsetzung dieser Ansprüche bestehen können. Anschließend wird der Entwurf für eine europäische Verordnung über Künstliche Intelligenz (AI Act) – mit einem Fokus auf die für Deepfakes geltenden Offenlegungsvorschriften – vorgestellt.
Deepfakes: A Realistic Assessment of Potentials, Risks, and Policy Regulation (SpringerBriefs in Political Science)
by Ignas Kalpokas Julija KalpokieneThis book examines the use and potential impact of deepfakes, a type of synthetic computer-generated media, primarily images and videos, capable of both creating artificial representations of non-existent individuals and showing actual individuals doing things they did not do. As such, deepfakes pose an obvious threat of manipulation and, unsurprisingly, have been the subject of a great deal of alarmism in both the news media and academic articles. Hence, this book sets out to critically evaluate potential threats by analyzing human susceptibility to manipulation and using that as a backdrop for a discussion of actual and likely uses of deepfakes. In contrast to the usual threat narrative, this book will put forward a multi-sided picture of deepfakes, exploring their potential and that of adjacent technologies for creative use in domains ranging from film and advertisement to painting. The challenges posed by deepfakes are further evaluated with regard to present or forthcoming legislation and other regulatory measures. Finally, deepfakes are placed within a broader cultural and philosophical context, focusing primarily on posthumanist thought. Therefore, this book is a must-read for researchers, students, and practitioners of political science and other disciplines, interested in a better understanding of deepfakes.
Deer Hunter 2014 Guia de Jogo
by Joshua Abbott Gerlon de Jesus Magalhães SantosCom o "Deer Hunter 2014 - Guia de Jogo" você vai aprender exatamente o que você precisa saber para se tornar um jogador experiente e baixar tudo de graça! Meu guia abrange os seguintes tópicos: - Visão geral e Informações Básicas. - Como jogar o jogo. - Ter energia imilitada e gratuitamente. - Visão geral das armas - Estratégias de caça. - Dicas profissionais e Estratégias. - Estratégias para todas as missões! - Segredos, dicas e truques usados pelos jogadores profissionais! - Detalhes de Instruções passo a passo! - Jogo Geral e Estratégias Geral. - Como vencer o jogo. - E muito mais! Compre agora e nunca mais fique preso em nível, tentando bate-lo! Torne-se ainda hoje um Jogador de alto nível! Aviso Legal: Este produto não está associado, afiliado, endossado ou patrocinado pela Glu Mobile Inc, nem foram revistos e testados ou certificado por Glu Mobile Inc. Este guia é para ser usado como uma referência. Isso não modificar ou alterar o jogo de qualquer maneira. Este é um guia e não escrito um programa de software. Tipo: Jogos / Videogames
Defending Cyber Systems through Reverse Engineering of Criminal Malware (SpringerBriefs in Computer Science)
by Marwan OmarThis SpringerBrief discusses underlying principles of malware reverse engineering and introduces the major techniques and tools needed to effectively analyze malware that targets business organizations. It also covers the examination of real-world malware samples, which illustrates the knowledge and skills necessary to take control of cyberattacks.This SpringerBrief explores key tools and techniques to learn the main elements of malware analysis from the inside out. It also presents malware reverse engineering using several methodical phases, in order to gain a window into the mind set of hackers. Furthermore, this brief examines malicious program’s behavior and views its code-level patterns. Real world malware specimens are used to demonstrate the emerging behavioral patterns of battlefield malware as well.This SpringerBrief is unique, because it demonstrates the capabilities of emerging malware by conducting reverse-code engineering on real malware samples and conducting behavioral analysis in isolated lab system. Specifically, the author focuses on analyzing malicious Windows executables. This type of malware poses a large threat to modern enterprises. Attackers often deploy malicious documents and browser-based exploits to attack Windows enterprise environment. Readers learn how to take malware inside-out using static properties analysis, behavioral analysis and code-level analysis techniques.The primary audience for this SpringerBrief is undergraduate students studying cybersecurity and researchers working in this field. Cyber security professionals that desire to learn more about malware analysis tools and techniques will also want to purchase this SpringerBrief.
Defending IoT Infrastructures with the Raspberry Pi: Monitoring And Detecting Nefarious Behavior In Real Time
by Chet HosmerApply a methodology and practical solutions for monitoring the behavior of the Internet of Things (IoT), industrial control systems (ICS), and other critical network devices with the inexpensive Raspberry Pi. With this book, you will master passive monitoring and detection of aberrant behavior, and learn how to generate early indications and warning of attacks targeting IoT, ICS, and other critical network resources. Defending IoT Infrastructures with the Raspberry Pi provides techniques and scripts for the discovery of dangerous data leakage events emanating from IoT devices. Using Raspbian Linux and specialized Python scripts, the book walks through the steps necessary to monitor, detect, and respond to attacks targeting IoT devices. There are several books that cover IoT, IoT security, Raspberry Pi, and Python separately, but this book is the first of its kind to put them all together. It takes a practical approach, providing an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate. What You’ll Learn Create a secure, operational Raspberry Pi IoT sensorConfigure and train the sensor using “normal” IoT behaviorEstablish analytics for detecting aberrant activitiesGenerate real-time alerts to preempt attacksIdentify and report data-leakage events originating from IoT devicesDevelop custom Python applications for cybersecurity Who This Book Is For Cybersecurity specialists, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, software developers and engineers developing new cybersecurity defenses, incident response teams, software developers and engineers in general, and hobbyists wanting to expand the application of Raspberry Pi into both IoT and cybersecurity
Defending the Metaverse: Cybersecurity Strategies for the Next Generation Internet (Advances in Cybersecurity Management)
by Ravi ShethThis book is aimed at a diverse audience including students, researchers, academicians, cybersecurity professionals, IT managers, Metaverse developers, business leaders, policymakers, and tech enthusiasts. This book is for everyone—from beginners to experts, researchers, and students. It offers insights and tools suitable for people with different levels of knowledge, making it accessible to a wide range of readers. The book fits alongside other published books by addressing the rapidly evolving intersection of cybersecurity and the Metaverse, a niche yet increasingly critical area.Unlike traditional cybersecurity books that focus on current internet and IT infrastructures, this book uniquely targets the virtual environments of the Metaverse. It combines advanced technological insights with practical strategies, providing a specialized resource that bridges the gap between conventional cybersecurity literature and the futuristic needs of Metaverse security. This positions it as an essential read for those looking to stay ahead in the field of cybersecurity within the context of next-generation internet platforms.