# Discrete Hopfield Neural Network Model for Secure Electrical Routing in VANETs to Avoid Blackhole Attacks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/discrete-hopfield-neural-network-model-for-secure-electrical-routing-in-vanets/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chennaiah Kate,Arvind Tudigani,S Raghavendra,A. Lizy,M. Malathi,Lalit Johari |
| Citations | 30 |
| DOI | 10.1109/iciccs65191.2025.10984526 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4410296990 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [S Raghavendra](https://scholariq.org/researchers/s-raghavendra/)

## Paper primary topic

- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)

## Paper topics

- [Vehicular Ad Hoc Networks (VANETs)](https://scholariq.org/topics/vehicular-ad-hoc-networks-vanets/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

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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.