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Vijender Kumar Solanki on Muck Rack

Vijender Kumar Solanki

As seen in: Nature, Dialnet - Universidad de La Rioja
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Articles

DATZ-TM: Zero-Trust intrusion detection for VANETs with temporal graph neural networks

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By Vijender Kumar Solanki, Aman Kataria, Jung Taek Seo, Hong Min
| Nature Verified
Abstract Vehicular Ad-Hoc Networks (VANETs) are vital for intelligent transport systems, yet they are extremely vulnerable to cyberattacks like Sybil, Blackhole, Denial-of-Service, Position Falsification, Message Suppression, and Replay. Existing intrusion detection systems use rigid metrics or constrained machine learning, resulting in unreliable detection across different threats. Critically, no previous work combines Zero-Trust security with dynamic traffic management in one vehicle framework.
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Enhancing 2D elasticity and viscosity images: A denoising approach for reflected and random noise removal

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By Nguyen Hiep, Duc Tran, Vijender Kumar Solanki
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Enhancing 2D elasticity and viscosity images: A denoising approach for reflected and random noise removal Sy Hiep, Nguyen [1] ; Tran, Duc-Nghia [2] ; Solanki, Vijender Kumar [3] ; Tran, Duc-Tan [4] ; Luong, Quang Hai [5] [1] Thai Nguyen University of Information and Communication Technology [2] Institute of Information Technology, Vietnam Academy of Science and Technology [3] Stanley College Of Engineering & Technology For Women [4] Phenikaa...
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Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time: Data Analysis

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By Vijender Kumar Solanki, Vijender Kumar, Sivadi Sivadi, Moorthy Moorthy
| Dialnet - Universidad de La Rioja
Ayuda Buscar en la ayuda Buscar en la ayuda Machine Learning based Improved Gaussian Mixture Model for IoT Real-Time: Data Analysis Sivadi , Sivadi ; Moorthy, Moorthy ; Solanki, Vijender [1] [1] CMR Institute of Technology, Hyderabad Localización: Ingeniería Solidaria, ISSN-e 2357-6014, Vol. 16, Nº.
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