Data Mining for Intelligence Fraud Criminal Detection

Author: Christopher Westphal
Publisher: CRC Press
ISBN: 9781420067248
Format: PDF, ePub, Docs
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In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn’t worth much unless we can determine that these systems are being effectively and responsibly employed. Written by one of the most respected consultants in the area of data mining and security, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced by these systems and evaluates their effectiveness. While CSI-type shows may depict information sharing and analysis that are accomplished with the push of a button, this sort of proficiency is more fiction than reality. Going beyond a discussion of the various technologies, the author outlines the issues of information sharing and the effective interpretation of results, which are critical to any integrated homeland security effort. Organized into three main sections, the book fully examines and outlines the future of this field with an insider’s perspective and a visionary’s insight. Section 1 provides a fundamental understanding of the types of data that can be used in current systems. It covers approaches to analyzing data and clearly delineates how to connect the dots among different data elements Section 2 provides real-world examples derived from actual operational systems to show how data is used, manipulated, and interpreted in domains involving human smuggling, money laundering, narcotics trafficking, and corporate fraud Section 3 provides an overview of the many information-sharing systems, organizations, and task forces as well as data interchange formats. It also discusses optimal information-sharing and analytical architectures Currently, there is very little published literature that truly defines real-world systems. Although politics and other factors all play into how much one agency is willing to support the sharing of its resources, many now embrace the wisdom of that path. This book will provide those individuals with an understanding of what approaches are currently available and how they can be most effectively employed.

Investigative Data Mining for Security and Criminal Detection

Author: Jesus Mena
Publisher: Butterworth-Heinemann
ISBN: 9780750676137
Format: PDF, ePub
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Data mining has traditionally been used to predict consumer behaviour, but in the wake of 9/11, the same tools and techniques can also be used to detect and validate the identity of threatening and criminal entities for security purposes.

Fraud Analytics

Author: Delena D. Spann
Publisher: John Wiley & Sons
ISBN: 1118282736
Format: PDF
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Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.

Machine Learning Forensics for Law Enforcement Security and Intelligence

Author: Jesus Mena
Publisher: CRC Press
ISBN: 143986070X
Format: PDF, ePub
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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 and instructive tools, techniques, and technologies to arm professionals with the tools they need to be prepared and stay ahead of the game. Step-by-step instructions The book is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to "interrogate the evidence." This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and litigation investigations. The book also provides step-by-step instructions on how to construct adaptive criminal and fraud detection systems for organizations. Prediction is the key Internet activity, email, and wireless communications can be captured, modeled, and deployed in order to anticipate potential cyber attacks and other types of crimes. The successful prediction of human reactions and server actions by quantifying their behaviors is invaluable for pre-empting criminal activity. This volume assists chief information officers, law enforcement personnel, legal and IT professionals, investigators, and competitive intelligence analysts in the strategic planning needed to recognize the patterns of criminal activities in order to predict when and where crimes and intrusions are likely to take place.

Data Mining and Predictive Analysis

Author: Colleen McCue
Publisher: Butterworth-Heinemann
ISBN: 0128004088
Format: PDF, ePub
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Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive, security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings. This revised text highlights new and emerging technology, discusses the importance of analytic context for ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics in intelligence and security analysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment. Discusses new and emerging technologies and techniques, including up-to-date information on predictive policing, a key capability in law enforcement and security Demonstrates the importance of analytic context beyond software Covers new models for effective delivery of advanced analytics to the operational environment, which have increased access to even the most powerful capabilities Includes terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis

Bank Fraud

Author: Revathi Subramanian
Publisher: John Wiley & Sons
ISBN: 0470494395
Format: PDF, Docs
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"Capitalize on technology to halt bank fraudExamining the technology that is needed to combat bank fraud, Bank Fraud: Using Technology to Combat Losses equips corporate security and loss prevention managers with the necessary tools to determine an organization's unique technology needs. Looks at the technology needed to handle data intelligence Provides guidance to assess the technology necessary to battle fraud Features unique coverage of the history of fraud detection and prevention in banking Explores the challenges of fraud detection in a financial services environment; understanding corporate risk exposure; losses per assets; trending over time; benefits of technology Focusing on the financial crimes and insider frauds in operation nationally and internationally, Bank Fraud: Using Technology to Combat Losses arms fraud prevention professionals with authoritative guidance to detect and prevent such crimes in future"--

Solving Modern Crime in Financial Markets

Author: Marius-Cristian Frunza
Publisher: Academic Press
ISBN: 0128045329
Format: PDF, Mobi
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This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics used in investigating modern crime in financial markets and uses R for its statistical examples. It focuses on crime in financial markets as opposed to the financial industry, and it highlights technical aspects of crime detection and prevention as opposed to their qualitative aspects. For those with strong analytic skills, this book unleashes the usefulness of powerful predictive and prescriptive analytics in predicting and preventing modern crime in financial markets. Interviews and case studies provide context and depth to examples Case studies use R, the powerful statistical freeware tool Useful in classroom and professional contexts

Managing Intelligence

Author: John Buckley
Publisher: CRC Press
ISBN: 1466586443
Format: PDF, Mobi
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Intelligence is used daily by law enforcement personnel across the world in operations to combat terrorism and drugs and to assist in investigating serious and organized crime. Managing Intelligence: A Guide for Law Enforcement Professionals is designed to assist practitioners and agencies build an efficient system to gather and manage intelligence effectively and lawfully in line with the principles of intelligence-led policing. Research for this book draws from discussions with hundreds of officers in different agencies, roles, and ranks from the UK, United States, Australia, New Zealand, and Canada. Highlighting common misunderstandings in law enforcement about intelligence, the book discusses the origins of these misunderstandings and puts intelligence in context with other policing models. It looks at human rights and ethical considerations as well as some of the psychological factors that inhibit effective intelligence management. With practical tips about problems likely to be encountered and their solutions, the book describes the "how to" of building an intelligence management system. It discusses analysis and the various methods of collecting information for intelligence purposes and concludes with a discussion of future issues for intelligence in law enforcement. Written by a practitioner with more than 30 years experience working in intelligence and law enforcement, the book helps professionals determine if what they are doing is working and gives them practical tips on how to improve. Based upon real-world empirical research, the book addresses gaps in current law enforcement procedures and integrates theory with practice to provide an optimum learning experience exploring the benefits of intelligence-led policing.

Profiling The Fraudster

Author: Simon Padgett
Publisher: John Wiley & Sons
ISBN: 1118871049
Format: PDF, ePub, Docs
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Detect and combat corporate fraud with new profiling techniques Profiling the Fraudster: Removing the Mask to Prevent and Detect Fraud takes a step-by-step approach beyond the Fraud Triangle to identify characteristics in potential fraudsters, employees and new hires that will sound alarm bells before they get their hands on your organization's assets. The typical organization loses a staggering 5% of its annual revenue to fraud. Traditional fraud investigations focus on the breakdown of internal controls but what happens when the human beings forming a key component of that chain of control are inherently dishonest? This book shows you how to recognize the characteristics and behavioral patterns of potential fraudsters who are entrusted with safeguarding corporate assets. The book includes: An in-depth look at fraud investigation techniques and how these can be enhanced by using the characteristics of fraudulent behavior, A detailed look at profiling potential perpetrators of fraud, A detailed breakdown of how to compile a fraud profile, A discussion of a wide range of organizational fraud, including abuse of power, embezzlement, computer fraud, expense abuse, and more, Tables, illustrations, and diagrams to enhance the narrative If you're a corporate fraud investigator, auditor, forensic accountant, law enforcement professional, or anyone challenged with safeguarding your organizations assets—Profiling the Fraudster shows you how to remove the mask and prevent and detect fraud.

Fraud Detection in White Collar Crime

Author: Rohan Ahmed
Publisher: GRIN Verlag
ISBN: 3668738343
Format: PDF
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Bachelor Thesis from the year 2017 in the subject Computer Science - Commercial Information Technology, grade: 1.3, Heilbronn University, language: English, abstract: White-collar crime is and has always been an urgent issue for the society. In recent years, white-collar crime has increased dramatically by technological advances. The studies show that companies are affected annually by corruption, balance-sheet manipulation, embezzlement, criminal insolvency and other economic crimes. The companies are usually unable to identify the damage caused by fraudulent activities. To prevent fraud, companies have the opportunity to use intelligent IT approaches. The data analyst or the investigator can use the data which is stored digitally in today’s world to detect fraud. In the age of Big Data, digital information is increasing enormously. Storage is cheap today and no longer a limited medium. The estimates assume that today up to 80 percent of all operational information is stored in the form of unstructured text documents. This bachelor thesis examines Data Mining and Text Mining as intelligent IT approaches for fraud detection in white-collar crime. Text Mining is related to Data Mining. For a differentiation, the source of the information and the structure is important. Text Mining is mainly concerned with weak- or unstructured data, while Data Mining often relies on structured sources. At the beginning of this bachelor thesis, an insight is first given on white-collar crime. For this purpose, the three essential tasks of a fraud management are discussed. Based on the fraud triangle of Cressey it is showed which conditions need to come together so that an offender commits a fraudulent act. Following, some well-known types of white-collar crime are considered in more detail. Text Mining approach was used to demonstrate how to extract potentially useful knowledge from unstructured text. For this purpose, two self-generated e-mails were converted into struc-tured format. Moreover, a case study will be conducted on fraud detection in credit card da-taset. The dataset contains legitimate and fraudulent transactions. Based on a literature research, Data Mining techniques are selected and then applied on the dataset by using various sampling techniques and hyperparameter optimization with the goal to identify correctly pre-dicted fraudulent transactions. The CRISP-DM reference model was used as a methodical procedure.