Big Data Analytics And Computing For Digital Forensic Investigations

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Big Data Analytics and Computing for Digital Forensic Investigations

Author : Suneeta Satpathy
Publisher : CRC Press
ISBN 13 : 1000045056
Total Pages : 199 pages
Book Rating : 4.0/5 ( download)

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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.

Big Data Analytics and Computing for Digital Forensic Investigations

Author : Suneeta Satpathy
Publisher : CRC Press
ISBN 13 : 100004503X
Total Pages : 235 pages
Book Rating : 4.0/5 ( download)

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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 235 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.

Big Digital Forensic Data

Author : Darren Quick
Publisher : Springer
ISBN 13 : 9811077630
Total Pages : 96 pages
Book Rating : 4.8/5 (11 download)

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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 96 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.

Cyber and Digital Forensic Investigations

Author : Nhien-An Le-Khac
Publisher : Springer Nature
ISBN 13 : 3030471314
Total Pages : 287 pages
Book Rating : 4.0/5 (34 download)

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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.

Big Data Forensics – Learning Hadoop Investigations

Author : Joe Sremack
Publisher : Packt Publishing Ltd
ISBN 13 : 1785281216
Total Pages : 264 pages
Book Rating : 4.7/5 (852 download)

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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.

Big Digital Forensic Data

Author : Darren Quick
Publisher : Springer
ISBN 13 : 9811302634
Total Pages : 86 pages
Book Rating : 4.8/5 (113 download)

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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 86 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.

Digital Forensics and Investigations

Author : Jason Sachowski
Publisher : CRC Press
ISBN 13 : 1351762206
Total Pages : 331 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Digital Forensics and Investigations by : Jason Sachowski

Download or read book Digital Forensics and Investigations written by Jason Sachowski and published by CRC Press. This book was released on 2018-05-16 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics has been a discipline of Information Security for decades now. Its principles, methodologies, and techniques have remained consistent despite the evolution of technology, and, ultimately, it and can be applied to any form of digital data. However, within a corporate environment, digital forensic professionals are particularly challenged. They must maintain the legal admissibility and forensic viability of digital evidence in support of a broad range of different business functions that include incident response, electronic discovery (ediscovery), and ensuring the controls and accountability of such information across networks. Digital Forensics and Investigations: People, Process, and Technologies to Defend the Enterprise provides the methodologies and strategies necessary for these key business functions to seamlessly integrate digital forensic capabilities to guarantee the admissibility and integrity of digital evidence. In many books, the focus on digital evidence is primarily in the technical, software, and investigative elements, of which there are numerous publications. What tends to get overlooked are the people and process elements within the organization. Taking a step back, the book outlines the importance of integrating and accounting for the people, process, and technology components of digital forensics. In essence, to establish a holistic paradigm—and best-practice procedure and policy approach—to defending the enterprise. This book serves as a roadmap for professionals to successfully integrate an organization’s people, process, and technology with other key business functions in an enterprise’s digital forensic capabilities.

Handbook of Research on Network Forensics and Analysis Techniques

Author : Shrivastava, Gulshan
Publisher : IGI Global
ISBN 13 : 1522541012
Total Pages : 509 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Network Forensics and Analysis Techniques by : Shrivastava, Gulshan

Download or read book Handbook of Research on Network Forensics and Analysis Techniques written by Shrivastava, Gulshan and published by IGI Global. This book was released on 2018-04-06 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid advancement in technology, myriad new threats have emerged in online environments. The broad spectrum of these digital risks requires new and innovative methods for protection against cybercrimes. The Handbook of Research on Network Forensics and Analysis Techniques is a current research publication that examines the advancements and growth of forensic research from a relatively obscure tradecraft to an important part of many investigations. Featuring coverage on a broad range of topics including cryptocurrency, hand-based biometrics, and cyberterrorism, this publication is geared toward professionals, computer forensics practitioners, engineers, researchers, and academics seeking relevant research on the development of forensic tools.

Contemporary Digital Forensic Investigations of Cloud and Mobile Applications

Author : Kim-Kwang Raymond Choo
Publisher : Syngress
ISBN 13 : 0128054484
Total Pages : 326 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Contemporary Digital Forensic Investigations of Cloud and Mobile Applications by : Kim-Kwang Raymond Choo

Download or read book Contemporary Digital Forensic Investigations of Cloud and Mobile Applications written by Kim-Kwang Raymond Choo and published by Syngress. This book was released on 2016-10-12 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary Digital Forensic Investigations of Cloud and Mobile Applications comprehensively discusses the implications of cloud (storage) services and mobile applications on digital forensic investigations. The book provides both digital forensic practitioners and researchers with an up-to-date and advanced knowledge of collecting and preserving electronic evidence from different types of cloud services, such as digital remnants of cloud applications accessed through mobile devices. This is the first book that covers the investigation of a wide range of cloud services. Dr. Kim-Kwang Raymond Choo and Dr. Ali Dehghantanha are leading researchers in cloud and mobile security and forensics, having organized research, led research, and been published widely in the field. Users will gain a deep overview of seminal research in the field while also identifying prospective future research topics and open challenges. Presents the most current, leading edge research on cloud and mobile application forensics, featuring a panel of top experts in the field Introduces the first book to provide an in-depth overview of the issues surrounding digital forensic investigations in cloud and associated mobile apps Covers key technical topics and provides readers with a complete understanding of the most current research findings Includes discussions on future research directions and challenges

Manual of Crime Scene Investigation

Author : Anna Barbaro
Publisher : CRC Press
ISBN 13 : 1000647994
Total Pages : 500 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Manual of Crime Scene Investigation by : Anna Barbaro

Download or read book Manual of Crime Scene Investigation written by Anna Barbaro and published by CRC Press. This book was released on 2022-10-28 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past several years, myriad manuals on crime scene investigations have been published with each focusing on select, or partial, aspects of the investigation. Crime scene investigation, done right, is a multi-faceted process that requires various forms of evidence to be collected, examined, and analyzed. No book available has addressed procedures to present global best practices by assembling a collection of international experts to address such topics. Manual of Crime Scene Investigation is a comprehensive collaboration of experts writing on their particular areas of expertise as relates to crime scenes, evidence, and crime scene investigation. The book outlines best practices in the field, incorporating the latest technology to collect, preserve, and enhance evidence for appropriate analysis. Various types of forensic evidence are addressed, covering chain of custody, collection, and utility of such evidence in casework, investigations, and for use in court. The approach, and use of international contributor experts, will appeal to a broad audience and be of use to forensic practitioners, and the forensic science community worldwide. Key features: • Assembles an international team of contributing author experts to present the latest developments in their crime scene field of specialty • Examines global best practices and what are consistently the most reliable tactics and approach to crime scene evidence collection, preservation, and investigation • Provides numerous photographs and diagrams to clearly illustrate chapter concepts Manual of Crime Scene Investigation serves as a vital resource to professionals in police science and crime scene investigations, private forensic institutions, and academics researching how better real-world application of techniques can improve the reliability and utility of evidence upon forensic and laboratory analysis.

Cyber Crime Investigations

Author : Anthony Reyes
Publisher : Elsevier
ISBN 13 : 9780080553634
Total Pages : 432 pages
Book Rating : 4.5/5 (536 download)

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Book Synopsis Cyber Crime Investigations by : Anthony Reyes

Download or read book Cyber Crime Investigations written by Anthony Reyes and published by Elsevier. This book was released on 2011-04-18 with total page 432 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

Strategic Engineering for Cloud Computing and Big Data Analytics

Author : Amin Hosseinian-Far
Publisher : Springer
ISBN 13 : 3319524917
Total Pages : 226 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Strategic Engineering for Cloud Computing and Big Data Analytics by : Amin Hosseinian-Far

Download or read book Strategic Engineering for Cloud Computing and Big Data Analytics written by Amin Hosseinian-Far and published by Springer. This book was released on 2017-02-13 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Author : Yassine Maleh
Publisher : Springer Nature
ISBN 13 : 303057024X
Total Pages : 539 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Machine Intelligence and Big Data Analytics for Cybersecurity Applications by : Yassine Maleh

Download or read book Machine Intelligence and Big Data Analytics for Cybersecurity Applications written by Yassine Maleh and published by Springer Nature. This book was released on 2020-12-14 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security

Author : Chang-Tsun Li
Publisher : IGI Global
ISBN 13 : 1466640073
Total Pages : 306 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security by : Chang-Tsun Li

Download or read book Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security written by Chang-Tsun Li and published by IGI Global. This book was released on 2013-01-01 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The revolutionary way in which modern technologies have enabled us to exchange information with ease has led to the emergence of interdisciplinary research in digital forensics and investigations, which aims to combat the abuses of computer technologies. Emerging Digital Forensics Applications for Crime Detection, Prevention, and Security presents various digital crime and forensic disciplines that use electronic devices and software for crime prevention and detection. This book provides theoretical and empirical research articles and case studies for a broad range of academic readers as well as professionals, industry consultants, and practitioners involved in the use, design, and development of techniques related to digital forensics and investigation.

ISSE 2013 Securing Electronic Business Processes

Author : Helmut Reimer
Publisher : Springer Science & Business Media
ISBN 13 : 3658033711
Total Pages : 282 pages
Book Rating : 4.6/5 (58 download)

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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 282 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.

Big Data Forensics - Learning Hadoop Investigations

Author : Joe Sremack
Publisher :
ISBN 13 : 9781785288104
Total Pages : 264 pages
Book Rating : 4.2/5 (881 download)

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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 . 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.

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799804151
Total Pages : 1671 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-10-11 with total page 1671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.