Chuck Easttom - Böcker

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Get complete coverage of all six CCFP exam domains developed by the International Information Systems Security Certification Consortium (ISC)2. Written by a leading computer security expert, this authoritative guidefully addresses cyber forensics techniques, standards, technologies, and legal and ethical principles. You'll find learning objectives at the beginning of each chapter, exam tips, practice exam questions, and in-depth explanations. Designed to help you pass the exam with ease,this definitive volume also serves as an essential on-the-job reference.

COVERS ALL SIX EXAM DOMAINS:Legal and ethical principlesInvestigationsForensic scienceDigital forensicsApplication forensicsHybrid and emerging technologies

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250 practice exam questionsTest engine that provides full-length practice examsand customized quizzes by chapter or by exam domainPDF copy of the book

Mobile devices are ubiquitous; therefore, mobile device forensics is absolutely critical. Whether for civil or criminal investigations, being able to extract evidence from a mobile device is essential. This book covers the technical details of mobile devices and transmissions, as well as forensic methods for extracting evidence. There are books on specific issues like Android forensics or iOS forensics, but there is not currently a book that covers all the topics covered in this book. Furthermore, it is such a critical skill that mobile device forensics is the most common topic the Author is asked to teach to law enforcement. This is a niche that is not being adequately filled with current titles. An In-Depth Guide to Mobile Device Forensics is aimed towards undergraduates and graduate students studying cybersecurity or digital forensics. It covers both technical and legal issues, and includes exercises, tests/quizzes, case studies, and slides to aid comprehension.

Mobile devices are ubiquitous; therefore, mobile device forensics is absolutely critical. Whether for civil or criminal investigations, being able to extract evidence from a mobile device is essential. This book covers the technical details of mobile devices and transmissions, as well as forensic methods for extracting evidence. There are books on specific issues like Android forensics or iOS forensics, but there is not currently a book that covers all the topics covered in this book. Furthermore, it is such a critical skill that mobile device forensics is the most common topic the Author is asked to teach to law enforcement. This is a niche that is not being adequately filled with current titles. An In-Depth Guide to Mobile Device Forensics is aimed towards undergraduates and graduate students studying cybersecurity or digital forensics. It covers both technical and legal issues, and includes exercises, tests/quizzes, case studies, and slides to aid comprehension.

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.

This book addresses the growing need for machine learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, machine learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working machine learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to machine learning. The first section of the book provides an overview of necessary topics in order to delve into machine learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the computer science oriented readers. The section covers neuroanatomy and physiology, cellular neuroscience, neurological disorders and computational neuroscience. The third section of the book then delves into how to apply machine learning and data mining to neuroscience and provides coverage of artificial neural networks (ANN), clustering, and anomaly detection. The book contains fully working code examples with downloadable working code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook. The primary audience is neuroscience researchers who need to delve into machine learning, programmers assigned neuroscience related machine learning projects and students studying methods in computational neuroscience.

PART OF THE NEW JONES & BARTLETT LEARNING INFORMATION SYSTEMS SECURITY & ASSURANCE SERIESSecurity Policies and Implementation Issues, Third Edition offers a comprehensive, end-to-end view of information security policies and frameworks from the raw organizational mechanics of building to the psychology of implementation. Written by industry experts, the new Third Edition presents an effective balance between technical knowledge and soft skills, while introducing many different concepts of information security in clear simple terms such as governance, regulator mandates, business drivers, legal considerations, and much more. With step-by-step examples and real-world exercises, this book is a must-have resource for students, security officers, auditors, and risk leaders looking to fully understand the process of implementing successful sets of security policies and frameworks.Instructor Materials for Security Policies and Implementation Issues include: PowerPoint Lecture Slides Instructor's Guide Sample Course Syllabus Quiz & Exam Questions Case Scenarios/Handouts About the Series.This book is part of the Information Systems Security and Assurance Series from Jones & Bartlett Learning. Designed for courses and curriculums in IT Security, Cybersecurity, Information Assurance, and Information Systems Security, this series features a comprehensive, consistent treatment of the most current thinking and trends in this critical subject area. These titles deliver fundamental information-security principles packed with real-world applications and examples. Authored by Certified Information Systems Security Professionals (CISSPs), they deliver comprehensive information on all aspects of information security. Reviewed word for word by leading technical experts in the field, these books are not just current, but forward-thinking - putting you in the position to solve the cybersecurity challenges not just of today, but of tomorrow, as well.

Digital Forensics, Investigation, and Response, Fourth Edition begins by examining the fundamentals of system forensics: what forensics is, an overview of computer crime, the challenges of system forensics, and forensics methods and labs. The second part of this book addresses the tools, techniques, and methods used to perform computer forensics and investigation. These include collecting evidence, investigating information hiding, recovering data, and scrutinizing email. It also discusses how to perform forensics in Windows, Linux, Macintosh operating systems, mobile devices, and networks. Finally, the third part explores incident and intrusion response, emerging technologies and future directions of this field, and additional system forensics resources.Each new print copy includes Navigate eBook Access enabling you to read your digital textbook online or offline from your computer, tablet, or mobile device.

Paperback Navigate eBook Access (Includes Claire AI)Digital Forensics, Investigation, and Response, Fifth Edition, delivers a structured, practice-oriented introduction to modern digital investigations. The text integrates forensic procedures, legal considerations, and technical analysis across core and emerging forensic disciplines, helping students understand how investigations unfold from evidence collection through reporting and response.The Fifth Edition introduces a new chapter on memory forensics, expands coverage of cloud computing and IoT investigations, and updates content sequencing to reflect current instructional and professional practice. Scenario-driven labs reinforce concepts through realistic investigative challenges, while expanded depth in key chapters strengthens student readiness for real-world forensic and incident response roles. Well-suited for undergraduate, graduate, and career-training programs, this edition supports rigorous, defensible forensic instruction.Introducing Claire AI™ — Students' AI-Powered MentorNew to this edition is an AI‑powered study tool that provides students with around‑the‑clock academic support and personalized guidance. Built on Jones & Bartlett Learning–authored content, Claire AI helps students clarify concepts, reinforce understanding, and engage more confidently as they read, providing consistent, course‑aligned support throughout the learning experience.Learn more about Claire AI™Features and Benefits- End-to-end investigative coverage connects evidence handling, analysis, reporting, and response into a cohesive digital forensics workflow.- Integrated legal, procedural, and technical instruction helps students understand how real digital investigations operate in practice.- Expanded coverage of cloud, IoT, and memory forensics prepares students for modern investigations across emerging technologies.- Scenario-driven labs reinforce concepts through realistic, multi-stage investigative challenges that mirror professional practice.- Updated terminology, sequencing, and screenshots reflect current teaching standards and real-world forensic environments.- Balanced depth supports undergraduate, graduate, and certificate programs without overwhelming early or career-focused learners.- Emphasis on documentation, evidence integrity, and expert testimony builds student confidence and job-ready investigative skills.

This textbook covers security controls and management. It is for courses in cyber security education that follow National Initiative for Cybersecurity Education (NICE) work roles and framework that adopt the Competency-Based Education (CBE) method. The book follows the CBE general framework, meaning each chapter contains three sections, knowledge and questions, and skills/labs for skills and sbilities. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills. The book is divided into several parts, including: Information Assurance / Encryption; Information Systems Security Management; Information Systems / Network Security; Information Technology Management; IT Management; and IT Risk Management.

This textbook covers security controls and management. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills.

This book covers extensively the physical implementation of qubits and quantum architecture. The book shows how, ultimately, the physical implementation of the qubit is the foundation of quantum computing, and that the choice of physical qubit will impact such things as decoherence times, computational efficiency, and even error rate.