# AN ADAPTIVE TEMPORAL-FEATURE COMPRESSION NETWORK FOR HIGH-ACCURACY INTRUSION DETECTION IN INDUSTRIAL IOT ENVIRONMENTS

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-adaptive-temporal-feature-compression-network-for-high-accuracy-intrusion/

## Facts

| Field | Value |
| --- | --- |
| Author Names | N. RIGANA FATHIMA,D. Murugan |
| Citations | 0 |
| DOI | 10.25258/ijddt.16.69s.167 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://doi.org/10.25258/ijddt.16.69s.167 |
| OpenAlex ID | https://openalex.org/W7171506397 |
| Type | article |
| Year | 2026 |

## Paper authors

- [D. Murugan](https://scholariq.org/researchers/d-murugan/)

## 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/)
- [Smart Grid Security and Resilience](https://scholariq.org/topics/smart-grid-security-and-resilience/)

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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.