# Autonomous Artificial Intelligence Systems for Fraud Detection and Forensics in Dark Web Environments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/autonomous-artificial-intelligence-systems-for-fraud-detection-and-forensics-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Romil Rawat,Olukayode Oki,Rajesh Kumar Chakrawarti,Temitope Samson Adekunle,Jose Manappattukunnel Lukose,Sunday Adeola Ajagbe |
| Citations | 24 |
| DOI | 10.31449/inf.v46i9.4538 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.informatica.si/index.php/informatica/article/download/4538/2501 |
| OpenAlex ID | https://openalex.org/W4388201783 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Temitope Samson Adekunle](https://scholariq.org/researchers/temitope-samson-adekunle/)

## Paper journal

- [Informatica](https://scholariq.org/journals/informatica/)

## Paper primary topic

- [Cybercrime and Law Enforcement Studies](https://scholariq.org/topics/cybercrime-and-law-enforcement-studies/)

## Paper topics

- [Cybercrime and Law Enforcement Studies](https://scholariq.org/topics/cybercrime-and-law-enforcement-studies/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Crime, Illicit Activities, and Governance](https://scholariq.org/topics/crime-illicit-activities-and-governance/)

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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.