# Emerging Intuitionistic Fuzzy Classifiers for Intrusion Detection System

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/emerging-intuitionistic-fuzzy-classifiers-for-intrusion-detection-system/

## Facts

| Field | Value |
| --- | --- |
| Author Names | B. Kavitha,Subramanian Karthikeyan,Sheeba Maybell P |
| Citations | 19 |
| DOI | 10.4304/jait.2.2.99-108 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.4304/jait.2.2.99-108 |
| OpenAlex ID | https://openalex.org/W2090666139 |
| Type | article |
| Year | 2011 |

## Paper authors

- [B. Kavitha](https://scholariq.org/researchers/b-kavitha/)

## Paper journal

- [Journal of Advances in Information Technology](https://scholariq.org/journals/journal-of-advances-in-information-technology/)

## 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/)
- [Network Packet Processing and Optimization](https://scholariq.org/topics/network-packet-processing-and-optimization/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

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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.