# New Scheme to Identify Intrusion Outliers by Machine Learing Technique

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/new-scheme-to-identify-intrusion-outliers-by-machine-learing-technique/

## Facts

| Field | Value |
| --- | --- |
| Author Names | M. Thangamani,E.T. Venkatesh,A. Kalayana Saravanan |
| Citations | 1 |
| DOI | 10.5120/14635-1448 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://doi.org/10.5120/14635-1448 |
| OpenAlex ID | https://openalex.org/W2095838644 |
| Type | article |
| Year | 2013 |

## Paper authors

- [E.T. Venkatesh](https://scholariq.org/researchers/e-t-venkatesh/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)

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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.