Blockchain Applications for Industry 4.0 and Industrial IoT: A Review. - Tejasvi Alladi; Vinay Chamola; Reza M. Parizi; Kim-Kwang Raymond Choo (IEEE Access, 2019)

Blockchain in Smart Grids: A Review on Different Use Cases. - Tejasvi Alladi; Vinay Chamola; Joel J. P. C. Rodrigues; Sergei A. Kozlov (Sensors, 2019)

Consumer IoT: Security Vulnerability Case Studies and Solutions. - Tejasvi Alladi; Vinay Chamola; Biplab Sikdar 001; Kim-Kwang Raymond Choo (IEEE Consumer Electron. Mag., 2020)

PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks. - Tejasvi Alladi; Vinay Chamola; Naren Naren; Neeraj Kumar 001 (Comput. Commun., 2020)

Industrial Control Systems: Cyberattack trends and countermeasures. - Tejasvi Alladi; Vinay Chamola; Sherali Zeadally (Comput. Commun., 2020)

A Lightweight Authentication and Attestation Scheme for In-Transit Vehicles in IoV Scenario. - Tejasvi Alladi; Sombuddha Chakravarty; Vinay Chamola; Mohsen Guizani (IEEE Trans. Veh. Technol., 2020)

SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication. - Tejasvi Alladi; Naren Naren; Gaurang Bansal; Vinay Chamola; Mohsen Guizani (IEEE Trans. Veh. Technol., 2020)

Applications of blockchain in unmanned aerial vehicles: A review. - Tejasvi Alladi; Vinay Chamola; Nishad Sahu; Mohsen Guizani (Veh. Commun., 2020)

Deep Neural Networks for Securing IoT Enabled Vehicular Ad-Hoc Networks. - Tejasvi Alladi; Ayush Agrawal; Bhavya Gera; Vinay Chamola; Biplab Sikdar 001; Mohsen Guizani (ICC, 2021)

Drone-MAP: A Novel Authentication Scheme for Drone-Assisted 5G Networks. - Tejasvi Alladi; Vishnu Venkatesh; Vinay Chamola; Nitin Chaturvedi (INFOCOM Workshops, 2021)

Securing the Internet of Vehicles: A Deep Learning-Based Classification Framework. - Tejasvi Alladi; Varun Kohli; Vinay Chamola; F. Richard Yu (IEEE Netw. Lett., 2021)

Edge Computing and Deep Learning Enabled Secure Multitier Network for Internet of Vehicles. - Harsh Grover; Tejasvi Alladi; Vinay Chamola; Dheerendra Singh; Kim-Kwang Raymond Choo (IEEE Internet Things J., 2021)

HARCI: A Two-Way Authentication Protocol for Three Entity Healthcare IoT Networks. - Tejasvi Alladi; Vinay Chamola; Naren Naren (IEEE J. Sel. Areas Commun., 2021)

DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs. - Tejasvi Alladi; Bhavya Gera; Ayush Agrawal; Vinay Chamola; Fei Richard Yu (IEEE Trans. Veh. Technol., 2021)

Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles. - Tejasvi Alladi; Varun Kohli; Vinay Chamola; F. Richard Yu; Mohsen Guizani (IEEE Wirel. Commun., 2021)

Accelerating PUF-based UAV Authentication Protocols Using Programmable Switch. - Ranjitha K.; Divya Pathak; Praveen Tammana; A. Antony Franklin; Tejasvi Alladi (COMSNETS, 2022)

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks. - Tejasvi Alladi; Vinay Chamola; Nishad Sahu; Vishnu Venkatesh; Adit Goyal; Mohsen Guizani (IEEE Commun. Surv. Tutorials, 2022)

NovelADS: A Novel Anomaly Detection System for Intra-Vehicular Networks. - Kushagra Agrawal; Tejasvi Alladi; Ayush Agrawal; Vinay Chamola; Abderrahim Benslimane (IEEE Trans. Intell. Transp. Syst., 2022)

Accelerating PUF-based Authentication Protocols Using Programmable Switch. - Divya Pathak; Ranjitha K.; Krishna Sai Modali; Praveen Tammana; A. Antony Franklin; Tejasvi Alladi (NOMS, 2023)

Ambient Intelligence for Securing Intelligent Vehicular Networks: Edge-Enabled Intrusion and Anomaly Detection Strategies. - Tejasvi Alladi; Ayush Agrawal; Bhavya Gera; Vinay Chamola; F. Richard Yu (IEEE Internet Things Mag., 2023)

Detecting UAV Presence Using Convolution Feature Vectors in Light Gradient Boosting Machine. - Kushagra Raina; Tejasvi Alladi; Vinay Chamola; Fei Richard Yu (IEEE Trans. Veh. Technol., 2023)

A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems. - Tejasvi Alladi; Varun Kohli; Vinay Chamola; F. Richard Yu (Digit. Commun. Networks, 2023)

VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles. - Devika S; Rishi Rakesh Shrivastava; Pratik Narang; Tejasvi Alladi; F. Richard Yu (IEEE Trans. Veh. Technol., 2024)

HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model. - Amit Chougule; Ishan Kulkarni; Tejasvi Alladi; Vinay Chamola; Fei Richard Yu (IEEE Trans. Veh. Technol., 2024)