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Big Data Forensics Learning Hadoop Investigations
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Book Synopsis Big Data Forensics – Learning Hadoop Investigations by : Joe Sremack
Download or read book Big Data Forensics – Learning Hadoop Investigations written by Joe Sremack and published by Packt Publishing Ltd. This book was released on 2015-09-24 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques About This Book Identify, collect, and analyze Hadoop evidence forensically Learn about Hadoop's internals and Big Data file storage concepts A step-by-step guide to help you perform forensic analysis using freely available tools Who This Book Is For This book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language. What You Will Learn Understand Hadoop internals and file storage Collect and analyze Hadoop forensic evidence Perform complex forensic analysis for fraud and other investigations Use state-of-the-art forensic tools Conduct interviews to identify Hadoop evidence Create compelling presentations of your forensic findings Understand how Big Data clusters operate Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, and more In Detail Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop's operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation. Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience. Style and approach This book is a complete guide that follows every step of the forensic analysis process in detail. You will be guided through each key topic and step necessary to perform an investigation. Hands-on exercises are presented throughout the book, and technical reference guides and sample documents are included for real-world use.
Book Synopsis Big Data Forensics - Learning Hadoop Investigations by : Joe Sremack
Download or read book Big Data Forensics - Learning Hadoop Investigations written by Joe Sremack and published by . This book was released on 2015-08-25 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniquesAbout This Book• Identify, collect, and analyze Hadoop evidence forensically• Learn about Hadoop's internals and Big Data file storage concepts• A step-by-step guide to help you perform forensic analysis using freely available toolsWho This Book Is ForThis book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language.What You Will Learn• Understand Hadoop internals and file storage• Collect and analyze Hadoop forensic evidence• Perform complex forensic analysis for fraud and other investigations• Use state-of-the-art forensic tools• Conduct interviews to identify Hadoop evidence• Create compelling presentations of your forensic findings• Understand how Big Data clusters operate• Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, and moreIn DetailBig Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop's operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation.Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.Style and approachThis book is a complete guide that follows every step of the forensic analysis process in detail. You will be guided through each key topic and step necessary to perform an investigation. Hands-on exercises are presented throughout the book, and technical reference guides and sample documents are included for real-world use.
Book Synopsis Big Data Analytics and Computing for Digital Forensic Investigations by : Suneeta Satpathy
Download or read book Big Data Analytics and Computing for Digital Forensic Investigations written by Suneeta Satpathy and published by CRC Press. This book was released on 2020-03-17 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain–computer interface, cognition and computational intelligence.
Book Synopsis Mastering Python Forensics by : Dr. Michael Spreitzenbarth
Download or read book Mastering Python Forensics written by Dr. Michael Spreitzenbarth and published by Packt Publishing Ltd. This book was released on 2015-10-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of digital forensics and analysis with Python About This Book Learn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworks Analyze Python scripts to extract metadata and investigate forensic artifacts The writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigations Who This Book Is For If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you. Some Python experience would be helpful. What You Will Learn Explore the forensic analysis of different platforms such as Windows, Android, and vSphere Semi-automatically reconstruct major parts of the system activity and time-line Leverage Python ctypes for protocol decoding Examine artifacts from mobile, Skype, and browsers Discover how to utilize Python to improve the focus of your analysis Investigate in volatile memory with the help of volatility on the Android and Linux platforms In Detail Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we'll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox. Moving on, you'll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python scripts and tools. You'll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you'll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android. Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules. Style and approach This easy-to-follow guide will demonstrate forensic analysis techniques by showing you how to solve real-word-scenarios step by step.
Book Synopsis Digital Forensics in the Era of Artificial Intelligence by : Nour Moustafa
Download or read book Digital Forensics in the Era of Artificial Intelligence written by Nour Moustafa and published by CRC Press. This book was released on 2022-07-18 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics plays a crucial role in identifying, analysing, and presenting cyber threats as evidence in a court of law. Artificial intelligence, particularly machine learning and deep learning, enables automation of the digital investigation process. This book provides an in-depth look at the fundamental and advanced methods in digital forensics. It also discusses how machine learning and deep learning algorithms can be used to detect and investigate cybercrimes. This book demonstrates digital forensics and cyber-investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record and GUID Partition Table as part of the investigative process. It also covers cyberattack analysis in Windows, Linux, and network systems using virtual machines in real-world scenarios. Digital Forensics in the Era of Artificial Intelligence will be helpful for those interested in digital forensics and using machine learning techniques in the investigation of cyberattacks and the detection of evidence in cybercrimes.
Book Synopsis Network Security Strategies by : Aditya Mukherjee
Download or read book Network Security Strategies written by Aditya Mukherjee and published by Packt Publishing Ltd. This book was released on 2020-11-06 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a resilient network and prevent advanced cyber attacks and breaches Key Features Explore modern cybersecurity techniques to protect your networks from ever-evolving cyber threats Prevent cyber attacks by using robust cybersecurity strategies Unlock the secrets of network security Book Description With advanced cyber attacks severely impacting industry giants and the constantly evolving threat landscape, organizations are adopting complex systems to maintain robust and secure environments. Network Security Strategies will help you get well-versed with the tools and techniques required to protect any network environment against modern cyber threats. You'll understand how to identify security vulnerabilities across the network and how to effectively use a variety of network security techniques and platforms. Next, the book will show you how to design a robust network that provides top-notch security to protect against traditional and new evolving attacks. With the help of detailed solutions and explanations, you'll be able to monitor networks skillfully and identify potential risks. Finally, the book will cover topics relating to thought leadership and the management aspects of network security. By the end of this network security book, you'll be well-versed in defending your network from threats and be able to consistently maintain operational efficiency, security, and privacy in your environment. What you will learn Understand network security essentials, including concepts, mechanisms, and solutions to implement secure networks Get to grips with setting up and threat monitoring cloud and wireless networks Defend your network against emerging cyber threats in 2020 Discover tools, frameworks, and best practices for network penetration testing Understand digital forensics to enhance your network security skills Adopt a proactive approach to stay ahead in network security Who this book is for This book is for anyone looking to explore information security, privacy, malware, and cyber threats. Security experts who want to enhance their skill set will also find this book useful. A prior understanding of cyber threats and information security will help you understand the key concepts covered in the book more effectively.
Book Synopsis Big Digital Forensic Data by : Darren Quick
Download or read book Big Digital Forensic Data written by Darren Quick and published by Springer. This book was released on 2018-04-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big data reduction, and evidence and intelligence extraction methods. Further, it includes the experimental results on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.
Book Synopsis Cyber and Digital Forensic Investigations by : Nhien-An Le-Khac
Download or read book Cyber and Digital Forensic Investigations written by Nhien-An Le-Khac and published by Springer Nature. This book was released on 2020-07-25 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the latest capabilities in the cyber threat landscape as well as the cyber forensic challenges and approaches is the best way users and organizations can prepare for potential negative events. Adopting an experiential learning approach, this book describes how cyber forensics researchers, educators and practitioners can keep pace with technological advances, and acquire the essential knowledge and skills, ranging from IoT forensics, malware analysis, and CCTV and cloud forensics to network forensics and financial investigations. Given the growing importance of incident response and cyber forensics in our digitalized society, this book will be of interest and relevance to researchers, educators and practitioners in the field, as well as students wanting to learn about cyber forensics.
Book Synopsis Big Digital Forensic Data by : Darren Quick
Download or read book Big Digital Forensic Data written by Darren Quick and published by Springer. This book was released on 2018-06-12 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big digital forensic data analysis for evidence and intelligence. It includes the results of experiments on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.
Book Synopsis Securing IoT and Big Data by : Vijayalakshmi Saravanan
Download or read book Securing IoT and Big Data written by Vijayalakshmi Saravanan and published by CRC Press. This book was released on 2020-12-16 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems. It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies. The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.
Book Synopsis A Practical Hands-on Approach to Database Forensics by : Nhien-An Le-Khac
Download or read book A Practical Hands-on Approach to Database Forensics written by Nhien-An Le-Khac and published by Springer Nature. This book was released on 2022-10-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adopting an experimental learning approach, this book describes a practical forensic process to acquire and analyze databases from a given device and/or application. Databases hold important, sensitive, and/or confidential information and are a crucial source of evidence in any digital investigation. This also reinforces the importance of keeping up to date on the cyber-threat landscape as well as any associated database forensic challenges and approaches. The book also guides cyber-forensic researchers, educators, and practitioners through the process of conducting database forensics and investigations on mobile devices, Internet of Things (IoT) devices, web browsers, and end-to-end encrypted instant messaging applications. Given the fast-changing database forensics landscape, this book will be of interest to researchers, educators, and practitioners in the field, as well as students who want to learn about the database investigation.
Book Synopsis Learning Python for Forensics by : Preston Miller
Download or read book Learning Python for Forensics written by Preston Miller and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, develop, and deploy innovative forensic solutions using Python Key FeaturesDiscover how to develop Python scripts for effective digital forensic analysisMaster the skills of parsing complex data structures with Python librariesSolve forensic challenges through the development of practical Python scriptsBook Description Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data. The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator. What you will learnLearn how to develop Python scripts to solve complex forensic problemsBuild scripts using an iterative designDesign code to accommodate present and future hurdlesLeverage built-in and community-sourced librariesUnderstand the best practices in forensic programmingLearn how to transform raw data into customized reports and visualizationsCreate forensic frameworks to automate analysis of multiple forensic artifactsConduct effective and efficient investigations through programmatic processingWho this book is for If you are a forensics student, hobbyist, or professional seeking to increase your understanding in forensics through the use of a programming language, then Learning Python for Forensics is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding for examiners who wish to learn programming.
Book Synopsis Machine Learning Forensics for Law Enforcement, Security, and Intelligence by : Jesus Mena
Download or read book Machine Learning Forensics for Law Enforcement, Security, and Intelligence written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive
Book Synopsis A Practical Hands-on Approach to Database Forensics by : Nhien-An Le-Khac
Download or read book A Practical Hands-on Approach to Database Forensics written by Nhien-An Le-Khac and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adopting an experimental learning approach, this book describes a practical forensic process to acquire and analyze databases from a given device and/or application. Databases hold important, sensitive, and/or confidential information and are a crucial source of evidence in any digital investigation. This also reinforces the importance of keeping up to date on the cyber-threat landscape as well as any associated database forensic challenges and approaches. The book also guides cyber-forensic researchers, educators, and practitioners through the process of conducting database forensics and investigations on mobile devices, Internet of Things (IoT) devices, web browsers, and end-to-end encrypted instant messaging applications. Given the fast-changing database forensics landscape, this book will be of interest to researchers, educators, and practitioners in the field, as well as students who want to learn about the database investigation. .
Book Synopsis GUIDE TO COMPUTER FORENSICS AND INVESTIGATIONS. by : CHRISTOPHER. PHILLIPS STEUART (AMELIA. NELSON, BILL.)
Download or read book GUIDE TO COMPUTER FORENSICS AND INVESTIGATIONS. written by CHRISTOPHER. PHILLIPS STEUART (AMELIA. NELSON, BILL.) and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis ISSE 2013 Securing Electronic Business Processes by : Helmut Reimer
Download or read book ISSE 2013 Securing Electronic Business Processes written by Helmut Reimer and published by Springer Science & Business Media. This book was released on 2013-10-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the most interesting talks given at ISSE 2013 – the forum for the inter-disciplinary discussion of how to adequately secure electronic business processes. The topics include: - Cloud Security, Trust Services, eId & Access Management - Human Factors, Awareness & Privacy, Regulations and Policies - Security Management - Cyber Security, Cybercrime, Critical Infrastructures - Mobile Security & Applications Adequate information security is one of the basic requirements of all electronic business processes. It is crucial for effective solutions that the possibilities offered by security technology can be integrated with the commercial requirements of the applications. The reader may expect state-of-the-art: best papers of the Conference ISSE 2013.
Book Synopsis Cyber Crime Investigations by : James Steele
Download or read book Cyber Crime Investigations written by James Steele and published by Elsevier. This book was released on 2011-04-18 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by a former NYPD cyber cop, this is the only book available that discusses the hard questions cyber crime investigators are asking. The book begins with the chapter “What is Cyber Crime? This introductory chapter describes the most common challenges faced by cyber investigators today. The following chapters discuss the methodologies behind cyber investigations; and frequently encountered pitfalls. Issues relating to cyber crime definitions, the electronic crime scene, computer forensics, and preparing and presenting a cyber crime investigation in court will be examined. Not only will these topics be generally be discussed and explained for the novice, but the hard questions —the questions that have the power to divide this community— will also be examined in a comprehensive and thoughtful manner. This book will serve as a foundational text for the cyber crime community to begin to move past current difficulties into its next evolution. This book has been written by a retired NYPD cyber cop, who has worked many high-profile computer crime cases Discusses the complex relationship between the public and private sector with regards to cyber crime Provides essential information for IT security professionals and first responders on maintaining chain of evidence
