Tejasvi Alladi

Orcid: 0000-0003-4612-3180

According to our database1, Tejasvi Alladi authored at least 24 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model.
IEEE Trans. Veh. Technol., October, 2024

VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles.
IEEE Trans. Veh. Technol., September, 2024

2023
A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems.
Digit. Commun. Networks, October, 2023

Detecting UAV Presence Using Convolution Feature Vectors in Light Gradient Boosting Machine.
IEEE Trans. Veh. Technol., April, 2023

Ambient Intelligence for Securing Intelligent Vehicular Networks: Edge-Enabled Intrusion and Anomaly Detection Strategies.
IEEE Internet Things Mag., March, 2023

Accelerating PUF-based Authentication Protocols Using Programmable Switch.
Proceedings of the NOMS 2023, 2023

2022
NovelADS: A Novel Anomaly Detection System for Intra-Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2022

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks.
IEEE Commun. Surv. Tutorials, 2022

Accelerating PUF-based UAV Authentication Protocols Using Programmable Switch.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles.
IEEE Wirel. Commun., 2021

DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs.
IEEE Trans. Veh. Technol., 2021

HARCI: A Two-Way Authentication Protocol for Three Entity Healthcare IoT Networks.
IEEE J. Sel. Areas Commun., 2021

Edge Computing and Deep Learning Enabled Secure Multitier Network for Internet of Vehicles.
IEEE Internet Things J., 2021

Securing the Internet of Vehicles: A Deep Learning-Based Classification Framework.
IEEE Netw. Lett., 2021

Drone-MAP: A Novel Authentication Scheme for Drone-Assisted 5G Networks.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Deep Neural Networks for Securing IoT Enabled Vehicular Ad-Hoc Networks.
Proceedings of the ICC 2021, 2021

2020
Applications of blockchain in unmanned aerial vehicles: A review.
Veh. Commun., 2020

SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication.
IEEE Trans. Veh. Technol., 2020

A Lightweight Authentication and Attestation Scheme for In-Transit Vehicles in IoV Scenario.
IEEE Trans. Veh. Technol., 2020

Industrial Control Systems: Cyberattack trends and countermeasures.
Comput. Commun., 2020

PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks.
Comput. Commun., 2020

Consumer IoT: Security Vulnerability Case Studies and Solutions.
IEEE Consumer Electron. Mag., 2020

2019
Blockchain in Smart Grids: A Review on Different Use Cases.
Sensors, 2019

Blockchain Applications for Industry 4.0 and Industrial IoT: A Review.
IEEE Access, 2019


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