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Browsing Department of Computer Science and Information Systems by Author "Alladi, Tejasvi"

Now showing items 1-18 of 18

Accelerating PUF-based UAV Authentication Protocols Using Programmable Switch

Alladi, Tejasvi (IEEE, 2022)

Many UAV technology use cases (e.g., traffic management) has ultra-low latency and strong security requirements. But achieving both simultaneously is challenging. In this work, we consider UAV device authentication as a ...
Applications of blockchain in unmanned aerial vehicles: A review

Alladi, Tejasvi; Chamola, Vinay (Elsevier, 2020-06)

The recent advancement in Unmanned Aerial Vehicles (UAVs) in terms of manufacturing processes, and communication and networking technology has led to a rise in their usage in civilian and commercial applications. The ...
Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2021-06)

Recent advances in the Internet of Things (IoT) and the adoption of IoT in vehicular networks have led to a new and promising paradigm called the Internet of Vehicles (IoV). However, the mode of communication in IoV being ...
Blockchain Applications for Industry 4.0 and Industrial IoT: A Review

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2019)

The potential of blockchain has been extensively discussed in the literature and media mainly in finance and payment industry. One relatively recent trend is at the enterprise-level, where blockchain serves as the ...
Blockchain in Smart Grids: A Review on Different Use Cases

Alladi, Tejasvi; Chamola, Vinay (MDPI, 2019)

With the integration of Wireless Sensor Networks and the Internet of Things, the smart grid is being projected as a solution for the challenges regarding electricity supply in the future. However, security and privacy ...
A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Alladi, Tejasvi; Chamola, Vinay (ARXIV, 2022-01)

Vehicular networks promise features such as traffic management, route scheduling, data exchange, entertainment, and much more. With any large-scale technological integration comes the challenge of providing security. ...
Consumer IoT: Security Vulnerability Case Studies and Solutions

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2020)

As consumer Internet of Things (IoT) devices become increasingly pervasive in our society, there is a need to understand the underpinning security risks. Therefore, in this article, we describe the common attacks faced by ...
Deep Neural Networks for Securing IoT Enabled Vehicular Ad-Hoc Networks

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2021)

Vehicular ad-hoc network (VANET) security has been an active area of research over the past decade. However, with the increasing adoption of the Internet of Things (IoT) in VANETs, the number of connected vehicles is set ...
DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2021-09)

We are seeing a growth in the number of connected vehicles in Vehicular Ad-hoc Networks (VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a connected vehicular network scenario ...
Drone-MAP: A Novel Authentication Scheme for Drone-Assisted 5G Networks

Chamola, Vinay; Alladi, Tejasvi; Chaturvedi, Nitin (IEEE, 2021)

Drones, also called Unmanned Aerial Vehicles (UAVs) are attracting significant attention in the research community for their many military and civil uses. They are especially being deployed for assistance in 5G communication ...
Edge Computing and Deep Learning Enabled Secure Multitier Network for Internet of Vehicles

Alladi, Tejasvi; Chamola, Vinay; Singh, Dheerendra (IEEE, 2021-04)

Internet of Vehicles (IoVs) are fast becoming the norm in our society, but such a trend also comes with its own set of challenges (e.g., new security and privacy risks due to the expanded attack vectors). In this work, we ...
HARCI: A Two-Way Authentication Protocol for Three Entity Healthcare IoT Networks

Chamola, Vinay; Alladi, Tejasvi (IEEE, 2021-02)

With the recent use of IoT in the field of healthcare, a lot of patient data is being transmitted and made available online. This necessitates sufficient security measures to be put in place to prevent the possibilities ...
Industrial Control Systems: Cyberattack trends and countermeasures

Alladi, Tejasvi; Chamola, Vinay (Elsevier, 2020-04)

It is generally understood that an attacker with limited resources would not be able to carry out targeted attacks on Industrial Control Systems. Breaking this general notion, we present case studies of major attacks on ...
A Lightweight Authentication and Attestation Scheme for In-Transit Vehicles in IoV Scenario

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2020-12)

With the rise of new technological paradigms such as the Internet of Things (IoT) and the Internet of Vehicles (IoV), we are going to see an unprecedented growth of connected vehicles on the roads. Also, with the ever-increasing ...
NovelADS: A Novel Anomaly Detection System for Intra-Vehicular Networks

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2022-11)

Modern vehicular electronics is a complex system of multiple Electronic Control Units (ECUs) communicating to provide efficient vehicle functioning. These ECUs communicate using the well-known Controller Area Network (CAN) ...
PARTH: A two-stage lightweight mutual authentication protocol for UAV surveillance networks

Chamola, Vinay; Alladi, Tejasvi (Elsevier, 2020-07)

UAVs are being widely deployed in security and surveillance applications around the world. Due to deployment in remote environments and also due to limited resources on these devices, they are susceptible to device capture ...
SecAuthUAV: A Novel Authentication Scheme for UAV-Ground Station and UAV-UAV Communication

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2020)

Unmanned Aerial Vehicles (UAVs) are becoming very popular nowadays due to the emergence of application areas such as the Internet of Drones (IoD). They are finding wide applicability in areas ranging from package delivery ...
Securing the Internet of Vehicles: A Deep Learning-Based Classification Framework

Alladi, Tejasvi; Chamola, Vinay (IEEE, 2021-06)

Along with the various technological advancements, the next generation vehicular networks such as the Internet of Vehicles (IoV) also bring in various cybersecurity challenges. To effectively address these challenges, in ...

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