# Cybercrime and Law Enforcement Studies

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/cybercrime-and-law-enforcement-studies/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers explores various aspects of cybercrime, including identity theft, online fraud, drug trafficking on the dark web, hacker communities, and the application of routine activity theory to understand victimization. It delves into the complexities of cryptomarkets, law enforcement challenges, and the psychological and financial impact of cyber-fraud victimization. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t12519 |
| Works | 22 |

## Topic papers all

Showing 15 of 22.

- [Understanding online safety behaviors: A protection motivation theory perspective](https://scholariq.org/papers/understanding-online-safety-behaviors-a-protection-motivation-theory-perspective/)
- [Intelligent financial fraud detection practices in post-pandemic era](https://scholariq.org/papers/intelligent-financial-fraud-detection-practices-in-post-pandemic-era/)
- [The cybercrime ecosystem: Online innovation in the shadows?](https://scholariq.org/papers/the-cybercrime-ecosystem-online-innovation-in-the-shadows/)
- [The not so dark side of the darknet: a qualitative study](https://scholariq.org/papers/the-not-so-dark-side-of-the-darknet-a-qualitative-study/)
- [Internet banking in Nigeria: Cyber security breaches, practices and capability](https://scholariq.org/papers/internet-banking-in-nigeria-cyber-security-breaches-practices-and-capability/)
- [Fraud against businesses both online and offline: crime scripts, business characteristics, efforts, and benefits](https://scholariq.org/papers/fraud-against-businesses-both-online-and-offline-crime-scripts-business/)
- [A machine learning approach to detecting fraudulent job types](https://scholariq.org/papers/a-machine-learning-approach-to-detecting-fraudulent-job-types/)
- [Mixing detection on Bitcoin transactions using statistical patterns](https://scholariq.org/papers/mixing-detection-on-bitcoin-transactions-using-statistical-patterns/)
- [Autonomous Artificial Intelligence Systems for Fraud Detection and Forensics in Dark Web Environments](https://scholariq.org/papers/autonomous-artificial-intelligence-systems-for-fraud-detection-and-forensics-in/)
- [The Text Mining Analysis Approach for Electronic Information and Transaction (ITE) Implementation Based on Sentiment in the Social Media](https://scholariq.org/papers/the-text-mining-analysis-approach-for-electronic-information-and-transaction-ite/)
- [Exploring the management of multi-sectoral cybersecurity information-sharing networks](https://scholariq.org/papers/exploring-the-management-of-multi-sectoral-cybersecurity-information-sharing/)
- [An assessment and methodology for fraud detection in online social network](https://scholariq.org/papers/an-assessment-and-methodology-for-fraud-detection-in-online-social-network/)
- [Toward Safer Digital Communication: A Deep Hybrid Model for Detecting Abusive Language on Social Networks](https://scholariq.org/papers/toward-safer-digital-communication-a-deep-hybrid-model-for-detecting-abusive/)
- [Understanding the information security culture of organizations: Results of a Survey](https://scholariq.org/papers/understanding-the-information-security-culture-of-organizations-results-of-a/)
- [An Automated Vulnerability Detection Framework for Smart Contracts](https://scholariq.org/papers/an-automated-vulnerability-detection-framework-for-smart-contracts/)

## Topic primary papers

- [The cybercrime ecosystem: Online innovation in the shadows?](https://scholariq.org/papers/the-cybercrime-ecosystem-online-innovation-in-the-shadows/)
- [The not so dark side of the darknet: a qualitative study](https://scholariq.org/papers/the-not-so-dark-side-of-the-darknet-a-qualitative-study/)
- [Internet banking in Nigeria: Cyber security breaches, practices and capability](https://scholariq.org/papers/internet-banking-in-nigeria-cyber-security-breaches-practices-and-capability/)
- [Autonomous Artificial Intelligence Systems for Fraud Detection and Forensics in Dark Web Environments](https://scholariq.org/papers/autonomous-artificial-intelligence-systems-for-fraud-detection-and-forensics-in/)
- [Social Media Analysis for Criminal Behavior Detection: Methods, Application and Challenge](https://scholariq.org/papers/social-media-analysis-for-criminal-behavior-detection-methods-application-and/)
- [Examine Website Defacement Dataset by Exploiting Some Classifiers’ Capabilities](https://scholariq.org/papers/examine-website-defacement-dataset-by-exploiting-some-classifiers-capabilities/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.