# Detecting Fake Identities with Machine Learning: A Comprehensive Literature Survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detecting-fake-identities-with-machine-learning-a-comprehensive-literature/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vijaya Lakshmi,A. S. RAO,Kalyani Boddulah,Ojaswi Cheekati,Varsha Vadla |
| Citations | 0 |
| DOI | 10.1007/978-981-95-0269-1_196 |
| Fields | Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4416302203 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Vijaya Lakshmi](https://scholariq.org/researchers/vijaya-lakshmi/)

## Paper journal

- [Lecture notes in electrical engineering](https://scholariq.org/journals/lecture-notes-in-electrical-engineering/)

## Paper primary topic

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

## Paper topics

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Cybercrime and Law Enforcement Studies](https://scholariq.org/topics/cybercrime-and-law-enforcement-studies/)

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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.