Forensic Analytics
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Forensic Analytics
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Author : Mark J. Nigrini
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-20
Forensic Analytics written by Mark J. Nigrini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-20 with Business & Economics categories.
Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students.
Forensic Analytics
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Author : Mark J. Nigrini
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-07
Forensic Analytics written by Mark J. Nigrini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-07 with Business & Economics categories.
Discover how to detect fraud, biases, or errors in your data using Access or Excel With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related. Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors Discusses the detection of financial statement fraud using various statistical approaches Explains how to score locations, agents, customers, or employees for fraud risk Shows you how to become the data analytics expert in your organization Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.
Big Data Analytics And Computing For Digital Forensic Investigations
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Author : Suneeta Satpathy
language : en
Publisher: CRC Press
Release Date : 2020-03-17
Big Data Analytics And Computing For Digital Forensic Investigations written by Suneeta Satpathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-17 with Computers categories.
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.
Using Analytics To Detect Possible Fraud
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Author : Pamela S. Mantone
language : en
Publisher: John Wiley & Sons
Release Date : 2013-07-16
Using Analytics To Detect Possible Fraud written by Pamela S. Mantone and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-16 with Business & Economics categories.
Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.
Forensic Radio Survey Techniques For Cell Site Analysis
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Author : Joseph Hoy
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-06
Forensic Radio Survey Techniques For Cell Site Analysis written by Joseph Hoy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-06 with Technology & Engineering categories.
FORENSIC RADIO SURVEY TECHNIQUES FOR CELL SITE ANALYSIS Overview of the end-to-end process of planning, undertaking, and reporting of forensic radio surveying to support cell site analysis The newly updated and revised Second Edition of Forensic Radio Survey Techniques for Cell Site Analysis provides an overview of the end-to-end process of planning, undertaking, and reporting of forensic radio surveying to support the forensic discipline of cell site analysis. It starts by recapping and explaining, in an accessible way, the theory, structure, and operation of cellular communications networks, then moves on to describe the techniques and devices employed to undertake forensic radio surveys. Worked examples are used throughout to demonstrate the practical steps required to plan and undertake forensic radio surveys, including the methods used to analyze radio survey data and compile it into a court report. A summary section condenses the technical and practical elements of the book into a handy reference resource for busy practitioners. The Second Edition contains 25% brand new material covering 5G New Radio networks and ‘6G and beyond,’ critical communications, mobile satellite communications, IoT networks, Cell Site Analysis Tools, and much more. Other sample topics covered in Forensic Radio Survey Techniques for Cell Site Analysis include: Radio theory, covering RF propagation, basic terminology, propagation modes, multipath transmission, and carrying information on a radio signal Core networks, including 2G, 3G, 4G, and 5G, subscriber and device identifiers, and international and temporary mobile subscriber identities Cell access control, covering cell barring, forbidden LAC/TAC, location updating, inter- and intra-carrier handovers, and 3GPP network types Forensic radio surveys objectives, terminology, and types, along with location, static spot, and indoor surveys The Second Edition of Forensic Radio Survey Techniques for Cell Site Analysis is an essential reference on the subject for police analysts, practitioners, technicians, investigators, and cell site experts, along with legal professionals and students/trainees in digital forensics.
Data Management Analytics And Innovation
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Author : Valentina Emilia Balas
language : en
Publisher: Springer
Release Date : 2018-09-07
Data Management Analytics And Innovation written by Valentina Emilia Balas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Technology & Engineering categories.
The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art topics and provides challenges and solutions for future development. Original, unpublished research work highlighting specific research domains from all viewpoints are contributed from scientists throughout the globe. This volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry.
Ios Forensic Analysis
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Author : Sean Morrissey
language : en
Publisher: Apress
Release Date : 2011-09-22
Ios Forensic Analysis written by Sean Morrissey and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-22 with Computers categories.
iOS Forensic Analysis provides an in-depth look at investigative processes for the iPhone, iPod Touch, and iPad devices. The methods and procedures outlined in the book can be taken into any courtroom. With never-before-published iOS information and data sets that are new and evolving, this book gives the examiner and investigator the knowledge to complete a full device examination that will be credible and accepted in the forensic community.
Introduction To Data Analysis With R For Forensic Scientists
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Author : JAMES MICHAEL. CURRAN
language : en
Publisher: CRC Press
Release Date : 2019-05-31
Introduction To Data Analysis With R For Forensic Scientists written by JAMES MICHAEL. CURRAN and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with categories.
Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers with the dexterity necessary to systematically analyze data discovered from the fruits of their research. Using traditional techniques and employing examples and tutorials with real data collected from experiments, this book presents the following critical information necessary for researchers: A refresher on basic statistics and an introduction to R Considerations and techniques for the visual display of data through graphics An overview of statistical hypothesis tests and the reasoning behind them A comprehensive guide to the use of the linear model, the foundation of most statistics encountered An introduction to extensions to the linear model for commonly encountered scenarios, including logistic and Poisson regression Instruction on how to plan and design experiments in a way that minimizes cost and maximizes the chances of finding differences that may exist Focusing on forensic examples but useful for anyone working in a laboratory, this volume enables researchers to get the most out of their experiments by allowing them to cogently analyze the data they have collected, saving valuable time and effort.
Forensic Analytics
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Author : Mark J. Nigrini
language : en
Publisher: John Wiley & Sons
Release Date : 2020-05-12
Forensic Analytics written by Mark J. Nigrini and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Business & Economics categories.
Become the forensic analytics expert in your organization using effective and efficient data analysis tests to find anomalies, biases, and potential fraud—the updated new edition Forensic Analytics reviews the methods and techniques that forensic accountants can use to detect intentional and unintentional errors, fraud, and biases. This updated second edition shows accountants and auditors how analyzing their corporate or public sector data can highlight transactions, balances, or subsets of transactions or balances in need of attention. These tests are made up of a set of initial high-level overview tests followed by a series of more focused tests. These focused tests use a variety of quantitative methods including Benford’s Law, outlier detection, the detection of duplicates, a comparison to benchmarks, time-series methods, risk-scoring, and sometimes simply statistical logic. The tests in the new edition include the newly developed vector variation score that quantifies the change in an array of data from one period to the next. The goals of the tests are to either produce a small sample of suspicious transactions, a small set of transaction groups, or a risk score related to individual transactions or a group of items. The new edition includes over two hundred figures. Each chapter, where applicable, includes one or more cases showing how the tests under discussion could have detected the fraud or anomalies. The new edition also includes two chapters each describing multi-million-dollar fraud schemes and the insights that can be learned from those examples. These interesting real-world examples help to make the text accessible and understandable for accounting professionals and accounting students without rigorous backgrounds in mathematics and statistics. Emphasizing practical applications, the new edition shows how to use either Excel or Access to run these analytics tests. The book also has some coverage on using Minitab, IDEA, R, and Tableau to run forensic-focused tests. The use of SAS and Power BI rounds out the software coverage. The software screenshots use the latest versions of the software available at the time of writing. This authoritative book: Describes the use of statistically-based techniques including Benford’s Law, descriptive statistics, and the vector variation score to detect errors and anomalies Shows how to run most of the tests in Access and Excel, and other data analysis software packages for a small sample of the tests Applies the tests under review in each chapter to the same purchasing card data from a government entity Includes interesting cases studies throughout that are linked to the tests being reviewed. Includes two comprehensive case studies where data analytics could have detected the frauds before they reached multi-million-dollar levels Includes a continually-updated companion website with the data sets used in the chapters, the queries used in the chapters, extra coverage of some topics or cases, end of chapter questions, and end of chapter cases. Written by a prominent educator and researcher in forensic accounting and auditing, the new edition of Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations is an essential resource for forensic accountants, auditors, comptrollers, fraud investigators, and graduate students.
Study Guide 300 215 Cbrfir Conducting Forensic Analysis And Incident Response Using Cisco Technologies For Cybersecurity Exam
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Study Guide 300 215 Cbrfir Conducting Forensic Analysis And Incident Response Using Cisco Technologies For Cybersecurity Exam written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The 300-215 CBRFIR exam focuses on conducting forensic analysis and incident response using Cisco technologies to effectively detect, investigate, and respond to cybersecurity incidents. This certification covers a comprehensive range of topics, beginning with foundational concepts of digital forensics and incident response, including the principles and phases of incident handling such as preparation, identification, containment, eradication, recovery, and lessons learned. Legal considerations and maintaining the chain of custody for digital evidence are emphasized to ensure integrity and compliance. The guide delves into forensic techniques and procedures encompassing data collection, memory and disk forensics, network forensics, and log and artifact analysis, supported by hashing and imaging techniques for preserving evidence. Endpoint-based analysis teaches how to identify host-based indicators, analyze registries, file systems, running processes, and use Cisco Secure Endpoint (AMP) for malware detection and behavioral analysis. Network-based analysis focuses on packet capture, protocol analysis, anomaly detection, and leveraging Cisco Secure Network Analytics (Stealthwatch) and NetFlow telemetry for threat detection. The importance of analyzing alert data and logs through normalization, correlation, and utilizing tools like Cisco SecureX and SIEMs is highlighted. Threat hunting and intelligence integration explain methodologies for IOC enrichment, using threat intelligence platforms, open-source intelligence, and Cisco’s Threat Grid and Talos. The use of Cisco tools such as AMP, Threat Grid, Stealthwatch, and SecureX for forensics and incident response is covered thoroughly. Finally, the guide outlines incident response playbooks, automation, best practices, compliance standards, and post-incident activities to ensure efficient and effective cybersecurity operations, supported by real-world scenarios and practice questions to reinforce learning.