Digital Commons Network^™

Decoding The Dynamics In Financial Fraud, Triana Eva Adiningsih

Jurnal Akuntansi dan Keuangan Indonesia

This empirical study examines fraud for the entire period and then compares it with the latest trends in the five years. This study utilizes extensive data sets to analyze specific aspects of fraud, including causes, types, solutions, and real-world cases. This study conducted a systematic literature review of relevant literature by taking data from Scopus-indexed journals. Vosviewer was used to identify events, and spreadsheet file information was grouped manually. Interestingly, the cheating types of ‘five-year statistics’ and ‘all-time statistics’ show slightly different frequencies. The main research topics focus on money laundering and financial crimes. To explore this further, this report …

The Small Business Killer: How Fincen Enforcement Of The Cta Could Destroy The Last Bastion Of The American Dream., Samantha M. Alecozay

Lincoln Memorial University Law Review Archive

This article addresses an urgent matter regarding the possible repercussions of FinCEN enforcement of the Corporate Transparency Act (“CTA”) against small businesses. The CTA, passed into law in 2021 and made effective January 1, 2024, mandates the creation of a nationwide database that collects owner information of certain legal entities to help prevent money laundering and other illicit financial activities. Further, a legal entity’s failure to comply with the statute may result in civil penalties of up to $591 per day of violation and even criminal penalties.As of January 1, 2024, tens of millions of small businesses in the U.S. …

Ai-Driven Anomaly Detection In Cybersecurity, Mohamed Almansoori

Theses

India has witnessed a huge level of digitization in the last two decades which has greatly impacted its economy and society. But the increasing use of technology has also intensified the number and level of threats to cyberspace in the country. Signature-based detection systems that have dominated the cybersecurity field for years have not been up to the challenge of modern attackers who use more complex and diverse attack methods. These challenges are well understood and this research focuses on improving the cybersecurity anomaly detection in India during the period between 2003 and 2022 using advanced AI and machine learning. …

Skimmer Detection On Payment Terminals, Adam Ratica

Defensive Publications Series

The present disclosure relates to an apparatus and a method for efficiently detecting skimmers on ATM/POS machines. The apparatus and method sends images of ATMs/ POS machines to a central service. LIDAR is used to take a detailed 3D image of the ATMs/ POS machine and the service generate a complete 3D model. The service include a database of different vendor ATMs/ POS machines, known skimmers, and a history of GPS coordinates and LIDAR 3D information. In an instance in which the LIDAR and images doesn’t match a known Vendor and/or past LIDAR/Image and GPS data do not match the …

Regulating Robo-Advisors In An Age Of Generative Artificial Intelligence, Daniel Schwarcz, Tom Baker

Law & Economics Working Papers

New generative Artificial Intelligence (AI) tools can increasingly engage in personalized, sustained and natural conversations with users. This technology has the capacity to reshape the financial services industry, making customized expert financial advice broadly available to consumers. However, AI’s ability to convincingly mimic human financial advisors also creates significant risks of large-scale financial misconduct. Which of these possibilities becomes reality will depend largely on the legal and regulatory rules governing “robo-advisors” that supply fully automated financial advice to consumers. This Article consequently critically examines this evolving regulatory landscape, arguing that current U.S. rules fail to adequately limit the risk that …

Securing Mobile Payments: The Impact Of Blockchain Technology On Transaction Integrity, Snehal Chaudhari

Electronic Theses, Projects, and Dissertations

This study investigates how blockchain, tokenization, and smart contracts improve security and transparency in mobile payment systems, addressing critical vulnerabilities in the increasing mobile payments industry. The main research questions are: (RO1) How can integrating blockchain technology improve the transparency and security of mobile payments? (RO2) Why do tokenization and smart contracts play a crucial role in improving security for mobile payments?

Case study outcomes include: (RO1) Shido Wallet's decentralized blockchain provides more control and transparency over their financial transactions, overcoming traditional security and trust concerns. Project Khokha illustrates blockchain's scalability and efficiency by allowing for high-speed, confidential interbank transactions. …

An Analysis Of Security Risks Posed By Text-Based Generative Ai And Corporate Security Weaknesses Leading To Data Leaks, Tashya Rakshana Byreddy

Electronic Theses, Projects, and Dissertations

ABSTRACT

Generative AI (GenAI) has become a fundamental part of modern life, influencing how we work, learn, and interact with technology. This project focuses specifically on text-based GenAI, which is widely used for tasks such as information gathering, code improvement, and content creation. Despite its benefits, it presents significant security risks that are often underestimated by users. This project investigates these risks and the corporate security gaps that lead to unintentional data leaks. The project also provides a brief overview of Large Language Models (LLMs), which are based on the deep learning technique known as Transformer architecture, used for performing …

Mitigating Credit Card Fraud In European Countries, Gurninder Singh

Electronic Theses, Projects, and Dissertations

The detection of credit card fraud is essential to lower monetary losses and boost consumer trust in financial institutions. The effectiveness of two machine learning models, the Hidden Markov Model (HMM) and Logistic Regression, in identifying credit card fraud was examined in this study. Data was gathered from a large dataset of transaction records to analyze each model's projected accuracy, precision, and recall. The research questions addressed are: (Q1) In terms of recognizing credit card fraud, how do artificial neural networks and decision trees perform differently? (Q2) What are the comparative accuracy levels of Markov versus Logistic Regression when it …

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …

Tech-Savvy Fraud Investigators In An Age Of Digital Deception, Alan Saquella

Publications

The recent court conviction of cryptocurrency exchange founder Sam Bankman-Fried on charges of fraud and conspiracy related to the collapse of FTX has heightened the critical need for the next generation of fraud investigators to possess advanced technical skills. This high-profile case serves as a main indicator in the fight against white-collar crime and emphasizes the glaring reality that traditional investigative methods are no longer sufficient to fight modern-day financial bad behavior. As we witness an increase in white-collar crime on a global scale, the pressure for a new generation of fraud investigators, fortified with an advanced skill set, has …

Towards A Comprehensive Metaverse Forensic Framework Based On Technology Task Fit Model, Amna Almutawa, Richard Adeyemi Ikuesan, Huwida Said

All Works

This article introduces a robust metaverse forensic framework designed to facilitate the investigation of cybercrime within the dynamic and complex digital metaverse. In response to the growing potential for nefarious activities in this technological landscape, the framework is meticulously developed and aligned with international standardization, ensuring a comprehensive, reliable, and flexible approach to forensic investigations. Comprising seven distinct phases, including a crucial incident pre-response phase, the framework offers a detailed step-by-step guide that can be readily applied to any virtualized platform. Unlike previous studies that have primarily adapted the existing digital forensic methodologies, this proposed framework fills a critical research …

The Evolution Of Immigration Policy And Law Within The Democratic Party: A Comparative Analysis Of Immigration Law And Policy Between The Obama And Biden Administrations, Armando A. Olmedo Arias

University of Miami International and Comparative Law Review

No abstract provided.

Hacker, Their Actions, And Fear Appeal: A First Look Through The Lens Of Children, Rizu Paudel, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

With the increasing use of computers and smartphones by children, their online safety has become a major concern due to the lack of security awareness. Prior studies pointed to children's poor password habit and vague perceptions on the significance of passwords. While users must be sufficiently motivated to perform a target behavior, a little study to date, focused on understanding how we can encourage children towards strong password creation. As we begin to address this gap, we examined children's perceptions of adversary's actions that instill fear in the context of password compromise. Our semi-structured interviews with 20 children (aged between …

An Exploration Of Internal Control System Of Ethiopian Banks, Fekade Adera Tesfaye

Doctoral Dissertations and Projects

Adequate internal controls enhance an organization's likelihood of achieving objectives in a changing business environment, contribute to organizational growth and competitiveness, support compliance with regulatory requirements, and help in preventing and identifying fraud, embezzlement, and waste. This qualitative case study explored the potential lack of adequate internal control systems in Ethiopian banks that impact their operational and financial performances. The study sought to understand how these banks design and implement internal controls and to identify factors contributing to the potential lack of adequate internal controls. The study was guided by the COSO internal control framework, which is widely accepted for …

Gatekeeper Competition Policy, Herbert Hovenkamp

Michigan Technology Law Review

Antitrust policy in the United States has always had special rules for dominant firms. As Justice Scalia once observed:

Where a defendant maintains substantial market power, his activities are examined through a special lens: Behavior that might otherwise not be of concern to the antitrust laws—or that might even be viewed as procompetitive—can take on exclusionary connotations when practiced by a monopolist.

Fraud Detection And Prevention In The Nigerian Financial Industry, Ibukunoluwa Adetola Ayodeji

Walden Dissertations and Doctoral Studies

The emergence of digital banking has led to an increase in transaction volume in Nigeria's financial industry, resulting in a rise in fraud cases. This is gradually eroding trust in the economic system and posing a major challenge to the Central Bank's goal of financial inclusion. Fraud detection and prevention strategies must be put in place by IT leaders of Nigerian financial institutions, as fraud in the country can undermine the integrity and trust that are essential to maintaining the integrity of the country's financial system. Grounded in the unified theory of acceptance and use of technology 2 (UTAUT 2) …

A Neutrosophic Framework For Artificial Immune Systems, Antonios Paraskevas, Florentin Smarandache

Neutrosophic Sets and Systems

Artificial immune systems (AIS) draw inspiration from the mechanisms of the natural immune system. They extract ideas from the functioning of the natural immune system in order to use them to build computer models to solve real-world problems. While traditional AIS models mimic the biological immune system’s capacity to distinguish between self and non-self entities, they often face challenges in environments where data may be incomplete or ambiguous. In this paper we introduce neutrosophic AIS that includes degrees of truthiness, falsehood and indeterminacy to better address ambiguity within pattern recognition tasks. Within this neutrosophic framework we discuss and redefine main …

Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu

Research Collection School Of Accountancy

The study provides large-scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information around significantly negative or positive news events, such as earnings announcements and the filing of financial statements. This convex U-shaped relation between the likelihood of posting financial tweets and the materiality of accounting events becomes stronger over time. Whereas research based on early samples concludes that firms are less likely to disseminate financial information …

Bridging The Protection Gap: Innovative Approaches To Shield Older Adults From Ai-Enhanced Scams, Ld Herrera, London Van Sickle, Ashley L. Podhradsky

Research & Publications

Artificial Intelligence (AI) is rapidly gaining popularity as individuals, groups, and organizations discover and apply its expanding capabilities. Generative AI creates or alters various content types including text, image, audio, and video that are realistic and challenging to identify as AI-generated constructs. However, guardrails preventing malicious use of AI are easily bypassed. Numerous indications suggest that scammers are already using AI to enhance already successful scams, improving scam effectiveness, speed and credibility, while reducing detectability of scams that target older adults, who are known to be slow to adopt new technologies. Through hypothetical cases analysis of two leading scams, the …

The Evolution Of Web Development, Leart Musahu, Faton Kabashi, Lamir Shkurti, Vehbi Sofiu, Laura Gjikokaj

UBT International Conference

The evolution of web development has been marked by significant technological advancements, transforming the way users interact with digital content. This topic will analyze the key milestones and breakthroughs that have shaped the development of the web from its early days to the modern era. Initially, web development focused on static HTML pages, offering limited interactivity and user engagement. The introduction of CSS and JavaScript brought dynamic content and responsive designs, greatly enhancing the user experience. The emergence of Web 2.0 introduced a new era of web development characterized by user-generated content, social networks, and the rise of interactive web …

The Importance Of Financial Literacy, The Inclusion Of Financial Education In The School Curriculum (Case Study: Kosovo), Ardian Uka, Valon Ismajli, Erzana Uka

UBT International Conference

The paper discusses the value of financial literacy and emphasises the importance of financial education inclusion into Kosovo's publicschool curriculum. The paper initially elaborates on the importance of financial literacy and then expands on its impact on people’s knowledge to become or maintain their financial stability and well-being. It is pointed out that understanding personal finance management can help people have a better connection with money and their finances. Research suggests that young people getting ready for adulthood should be encouraged to become financially literate to meet society's health and economic concerns. In this context, after observing the school curriculum …

International Conference On Management Business And Economics, University For Business And Technology - Ubt

UBT International Conference

UBT Annual International Conference is the 13th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

Tossing Sand In The Regulatory Gears: Hurdles To Policy Progress In The Supreme Court, Nina A. Mendelson

Articles

In the last few years, the Supreme Court has been a source of seismic change. In Dobbs v. Jackson Women’s Health Organization, the Court overruled Roe v. Wade, which had protected the right to abortion for nearly fifty years. In Loper Bright Enterprises v. Raimondo, the Court abandoned so-called Chevron deference to particular categories of administrative agency interpretations, a doctrine viewed as bedrock for over forty years. Humphrey’s Executor v. United States, the 1935 ruling validating independent multi-member commissions such as the Federal Trade Commission, Securities and Exchange Commission, and Federal Communications Commission, may soon join the others on the …

Effective Financial Control Strategies Shortening The Timeframe From Theft To Discovery Within The Supply Chain Industry, Hope Bullard

Walden Dissertations and Doctoral Studies

In the supply chain industry, threats such as hacking, data pilfering, ransomware, and fraud can result in significant financial losses and undermine stakeholder trust, further magnifying the economic impact and complicating recovery efforts. Financial administrators must understand and implement internal oversight strategies to protect against threats. Grounded in routine activity theory, the purpose of this qualitative pragmatic inquiry was to identify and explore effective internal control strategies that financial administrators use in the supply chain industry within the southeastern United States that shorten the discovery timeframe between theft and discovery. The participants consisted of 10 supply chain industry financial administrators …

Pig Butchering In Cybersecurity: A Modern Social Engineering Threat, Sharon L. Burton, Pamela D. Moore

Publications

Pig butchering is an escalating cybersecurity threat that exploits social engineering to build trust and execute financial fraud. The relevance of this research problem lies in the growing incidence and sophistication of these scams, which have severe financial and psychological impacts on victims. The main purpose of this research is to uncover the methods used in pig butchering scams and their impact on individuals and businesses. The research focuses on digital platforms such as social media, dating apps, and professional networking sites, chosen for their wide user bases and the ease of establishing personal connections. The study period encompasses recent …

In Brief, Case Western Reserve University School Of Law

In Brief

Table of Contents

• To preserve, protect and expand
• Road to victory
• Welcoming a legal luminary
• Scholarly Impacts and Recognitions
• Pro bono pathways
• Society of Benchers
• Alumni Committees
• Class Notes
• In Memoriam
• Honor Roll of Donors

Temporal Relational Graph Convolutional Network Approach To Financial Performance Prediction, Jeyaraman Brindha Priyadarshini, Bing Tian Dai, Yuan Fang

Research Collection School Of Computing and Information Systems

Accurately predicting financial entity performance remains a challenge due to the dynamic nature of financial markets and vast unstructured textual data. Financial knowledge graphs (FKGs) offer a structured representation for tackling this problem by representing complex financial relationships and concepts. However, constructing a comprehensive and accurate financial knowledge graph that captures the temporal dynamics of financial entities is non-trivial. We introduce FintechKG, a comprehensive financial knowledge graph developed through a three-dimensional information extraction process that incorporates commercial entities and temporal dimensions and uses a financial concept taxonomy that ensures financial domain entity and relationship extraction. We propose a temporal and …

The Lawyer: Fall 2024, Seattle University School Of Law

Lawyer

No abstract provided.

Regulating Deepfakes: An Indian Perspective, Shinu Vig

Journal of Strategic Security

Deepfakes are a growing concern throughout the world including India. Deepfakes can be used for several purposes, both innocuous or malicious. In India, several problems related to regulation of deepfakes have emerged. This paper makes an examination of current legal challenges posed by deepfakes as well as solutions in India that can be repurposed to address these challenges, including intellectual property laws, criminal laws, and the right to privacy. While these existing laws can be used to address certain aspects of the deep fake problem, there is an increasing recognition that specific legislations and regulations addressing deep fakes and synthetic …

Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji

Theses

The rise of e-crime, particularly international online scams, has presented significant challenges to law enforcement agencies around the world. Scams have become transnational, exploiting the internet's interconnectivity to deceive victims from different countries. Law enforcement agencies have a severe uphill battle in trying to combat these types of crimes because of technological and jurisdictional limitations and resource accessibility. This research has analyzed the effectiveness of current policing against international online scams, focusing on the challenges encountered thus far and possible solutions. The critical research objectives revolve around assessing law enforcement agencies' present strategies, identifying the main barriers that these agencies …