Featured Research | Anirudh Paranjothi

Adaptive security Information integrity Decentralized IoV Rural mobility Fog & edge Intrusion detection Cooperative driving Resilient communication

Current research directions

Ongoing Projects

01 / Identity, trust & evolving attacks

Adaptive defenses for vehicular networks

How can a vehicle distinguish legitimate neighbors from fabricated identities and changing adversarial behavior?

This research brings together dynamic clustering, trust-aware detection, forgetting-aware learning, and cross-temporal analysis to study Sybil attacks and misbehavior in vehicular networks. The central focus is detection reliability as traffic conditions and attacker behavior evolve.

Related publications

7 records

Dynamic K-Means Clustering for Sybil Attack Detection in VANETs
Gideon Adele, Anirudh Paranjothi, Mohammad S. Khan
IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), 2026, pp. 1444–1450
DOI Scholar
Sybil Attack Detection in VANETs: A Forgetting-Aware Approach Using Stochastic Gradient Descent with Exponential Weight Decay
Gideon Oluwasegun Adele, Anirudh Paranjothi, Johnson P. Thomas
SSRN preprint, 2026
Scholar

Explore 5 more related publications

XTVD: Robust Cross-Temporal Misbehavior Detection for Time-Varying Attacks in VANETs
Dilruba Shareen, Anirudh Paranjothi, Mohammad Khan
IEEE 104th Vehicular Technology Conference (VTC2026-Fall), 2026
Scholar
Rethinking Misbehavior Detection Reliability in VANETs under Reaction-Aware Insider Attacks
Dilruba Shareen, Anirudh Paranjothi
IEEE Global Communications Conference (Globecom), 2026
Scholar
Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication
Thomas L. Morton, Abinash Borah, Anirudh Paranjothi
Internet Technology Letters, 2025
Scholar
A Survey and Comparative Analysis of Methods for Countering Sybil Attacks in VANETs
Gideon Adele, Abinash Borah, Anirudh Paranjothi, Mohammad S. Khan
IEEE CCWC, 2024
Scholar
Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication
Thomas Morton, Abinash Borah, Anirudh Paranjothi
Internet Technology Letters / pre-publication record, 2024
Scholar

02 / From shared messages to reliable decisions

Trustworthy information for autonomous mobility

Connected vehicles depend on shared observations. False information can compromise that cooperative view of the road.

This line of work investigates unsupervised learning, pattern-based anomaly detection, data clustering, and sliding-window tracing for identifying false information. Complementary studies examine information-centric intrusion detection and the research challenges of rogue-node broadcasts.

Related publications

6 records

Enhancing VANET Security: An Unsupervised Learning Approach for Mitigating False Information Attacks in VANETs
Abinash Borah, Anirudh Paranjothi
Electronics, 14(1), 2025
Scholar
False Information Mitigation Using Pattern-based Anomaly Detection for Secure Vehicular Networks
Abinash Borah, Anirudh Paranjothi
Electronics, 14(9), 2025
Scholar

Explore 4 more related publications

Data Clustering-Based False Information Detection for Secure Connected and Autonomous Vehicles
Abinash Borah, Anirudh Paranjothi, Mohammad S. Khan
28th International Symposium on Wireless Personal Multimedia Communications (WPMC), 2025
DOI Scholar
Securing Connected and Autonomous Vehicles with Sliding Window-Based False Information Tracing
Abinash Borah, Anirudh Paranjothi
IEEE WiMob, 2025, pp. 43–48
DOI Scholar
Information-Centric Intrusion Detection in Internet of Vehicles
Abinash Borah, Anirudh Paranjothi, Mohammad S. Khan, Albena Mihovska
IEEE Global Communications Conference (Globecom), 2024
DOI Scholar
Research Issues in False Information Broadcasting Rogue Node Detection for Green VANETs
Abinash Borah, Anirudh Paranjothi
26th International Symposium on Wireless Personal Multimedia Communications (WPMC), 2023, pp. 1–6
Scholar

03 / Learning, clustering & cooperation

Decentralized intelligence for the Internet of Vehicles

Mobile networks need coordination even when connectivity is intermittent and centralized control is impractical.

Our collaborative work studies federated deep reinforcement learning for decentralized clustering and cluster-head selection, alongside trust-based approaches to security and stability. Rural IoV provides a motivating setting for connecting learning, mobility, and local cooperation.

Related publications

5 records

TCESS: Trust Score-Based Clustering Approach for Enhanced Security and Stability in Vehicular Ad Hoc Networks
Geetha Charan Vengala, Vamsi Krishna Pavuluri, Anirudh Paranjothi, Mohammad Mukhtaruzzaman
IEEE Vehicular Technology Conference (VTC-Fall), 2025
Scholar
Decentralized Cluster Head Selection in IoV using Federated Deep Reinforcement Learning
Chandler Scott, Mohammad S. Khan, Anirudh Paranjothi, Joshua Qiang Li
IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024
DOI Scholar

Explore 3 more related publications

Decentralized Clustering for Rural Internet of Vehicles Using Federated Deep Reinforcement Learning
Chandler Scott, Mohammad S. Khan, Anirudh Paranjothi, Joshua Qiang Li
IEEE CCWC, 2024
Scholar
Enabling Rural IoV Communication through Decentralized Clustering and Federated Learning
Chandler Scott, Mohammad S. Khan, Anirudh Paranjothi, Joshua Qiang Li
IEEE CCWC, 2024, pp. 228–234
DOI Scholar
Trust-Based Security for Decentralized Clustering in IoV
Chandler Scott, Mohammad S. Khan, Biju Bajracharya, Anirudh Paranjothi
International Conference on Smart Applications, Communications and Networking (SmartNets), 2024
Scholar

04 / Rural infrastructure & accessible mobility

Connected transportation beyond the city

How can automated transportation improve access to essential services in rural and Tribal communities?

This project integrates vehicle automation, communication networks, infrastructure readiness, and service planning for healthcare access, economic opportunities, and tourism shuttles. Field demonstrations and before-and-after evaluations examine safety, accessibility, and operational efficiency to guide practical deployment under rural roadway, environmental, and resource constraints.

Related publications

3 records

Infrastucture Preparedness for Autonomous Vehicles in Rural Areas
Joshua Li, Benjamin Li, Yiming Yang, Liu Junlong, Joshua Li, Anirudh Paranjothi
MDPI Sensors, 2026
DOI Scholar
Identifying Gaps in Southwest Oklahoma NEMT Transit Networks
Vamsi Krishna Pavuluri, Charan Poladi, Eric Inman, Anirudh Paranjothi, Joshua Qiang Li, Julie Sanders
International Conference on Transportation and Development, 2025, pp. 819–829
Scholar

Explore 1 more related publications

Infrastructure Preparedness for Autonomous Vehicles in Rural Areas
Vamsi Pavuluri, Joshua Li, Benjamin Li, Charan Poladi, Anirudh Paranjothi
IRF Global R2T Conference, 2025
Scholar

05 / Dynamic fog & distributed detection

Security at the vehicular edge

Security decisions must account for limited onboard resources, mobility, and the cost of moving information through the network.

This body of work investigates fog-assisted rogue-node and Sybil detection, statistical detection, beamforming, and on-demand intrusion detection. Reviews of distributed security and GPU-based computing place these approaches within the broader landscape of vehicular computing.

Related publications

9 records

A Survey on Distributed Approaches for Security Enhancement in Vehicular Ad-Hoc Networks
Abinash Borah, Anirudh Paranjothi, Johnson P. Thomas
Computer Networks, Volume 261, Article 111140, 2025
DOI Scholar
Enhancing Security in VANETs Using Distributed Computing: A Review
Vamsi Krishna Pavuluri, Abinash Borah, Anirudh Paranjothi, Mohammad S. Khan
IEEE CCWC, 2025, pp. 794–799
DOI Scholar

Explore 7 more related publications

GPU-based Parallel Computing for VANETs: Current State and Future Prospects
Abinash Borah, Anirudh Paranjothi
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2023, pp. 351–356
Scholar
Enhancing Security in VANETs with Sybil Attack Detection Using Fog Computing
Anirudh Paranjothi, Mohammad S. Khan
IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 2023, pp. 1–6
Scholar
Sybil Attack Detection in VANETs using Fog Computing and Beamforming
Abinash Borah, Anirudh Paranjothi
IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2023, pp. 0626–0631
Scholar
A Statistical Approach for Enhancing Security in VANETs with Efficient Rogue Node Detection Using Fog Computing
Anirudh Paranjothi, Mohammed Atiquzzaman
Digital Communications and Networks, 2022
DOI Scholar
Misbehavior Aware On-demand Intrusion Detection System to Enhance Security in VANETs with Efficient Rogue Node Detection and Prevention Techniques
Anirudh Paranjothi
PhD Dissertation, University of Oklahoma, 2022
Scholar
Enhancing Security in VANETs with Efficient Sybil Attack Detection Using Fog Computing
Anirudh Paranjothi, Mohammed Atiquzzaman
arXiv preprint arXiv:2108.10319, 2021
arXiv Scholar
F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad Hoc Networks
Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan
IEEE GLOBECOM, 2020, pp. 1–6
Scholar

Research foundations & related work

Recent Projects

06 / Robotics, blockchain & connected vehicles

Intrusion detection across connected systems

Connected systems expose different attack surfaces, calling for detection methods that account for their architecture and data.

This theme brings together ROS-Lighthouse, an ensemble-learning intrusion detection system for the Robot Operating System, a systematic review of blockchain-based intrusion detection, and a chapter on intrusion detection and prevention for connected vehicles.

Related publications

3 records

A Comprehensive Systematic Review of Blockchain-based Intrusion Detection Systems
Gideon Adele, Abinash Borah, Anirudh Paranjothi, Mohammad S. Khan, Vladimir K. Poulkov
IEEE World AI IoT Congress (AIIoT), 2024, pp. 605–611
DOI Scholar
ROS-Lighthouse: An Intrusion Detection System (IDS) in ROS using Ensemble Learning
Stevens Johnson, Abinash Borah, Johnson P. Thomas, Anirudh Paranjothi
27th International Symposium on Wireless Personal Multimedia Communications (WPMC), 2024
Scholar

Explore 1 more related publications

Intrusion Detection and Prevention for Connected Vehicles
Abinash Borah, Gideon Adele, Anirudh Paranjothi
Wiley Encyclopedia of Electrical and Electronics Engineering, 2024
Scholar

07 / Platoons, tomography & traffic coordination

Cooperative driving & congestion-aware networks

Cooperative driving requires communication that remains useful as vehicles merge, traffic builds, and network conditions change.

The work spans PMCD platoon merging, VANETomo congestion identification and control using network tomography, and a survey of congestion detection and control. The related smart-cities volume is retained as listed in the publication record.

Related publications

4 records

PMCD: Platoon-Merging Approach for Cooperative Driving
Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan
Internet Technology Letters, 3(1), e139, 2020
Scholar
VANETomo: A Congestion Identification and Control Scheme in Connected Vehicles Using Network Tomography
Anirudh Paranjothi, Mohammad S. Khan, Rizwan Patan, Reza M. Parizi, Mohammed Atiquzzaman
Computer Communications, 151, 275–289, 2020
Scholar

Explore 2 more related publications

A Survey on Congestion Detection and Control in Connected Vehicles
Anirudh Paranjothi, Mohammad S. Khan, Sherali Zeadally
Ad Hoc Networks, 108, 102277, 2020
Scholar
Related volume · listed in the publication record
Connected and Autonomous Vehicles in Smart Cities
Hussein T. Mouftah, Melike Erol-Kantarci, Sameh Sorour
CRC Press, 2020
Scholar

08 / Dissemination, trust & network architecture

Resilient communication in mobile environments

Critical messages must travel through moving networks despite obstacles, disrupted routes, and uneven connectivity.

These studies explore dynamic fog, hybrid vehicle-cloud architectures, location-aware multihop dissemination, social trust, and message authentication. Related surveys examine disaster-area routing and mobile cloud offloading, distribution, and privacy.

Related publications

10 records

Performance Analysis of Message Dissemination Techniques in VANET using Fog Computing
Anirudh Paranjothi
arXiv preprint arXiv:2003.04354, 2020
arXiv Scholar
Message Dissemination in Connected Vehicles
Anirudh Paranjothi, Mohammed Atiquzzaman, Mohammad S. Khan
arXiv preprint arXiv:2009.01634, 2020
arXiv Scholar

Explore 8 more related publications

Routing Protocols and Architecture for Disaster Area Network: A Survey
Yasmin Jahir, Mohammed Atiquzzaman, Hazem Refai, Anirudh Paranjothi, Peter G. LoPresti
Ad Hoc Networks, 82, 1–14, 2019
Scholar
Hybrid-Vehfog: A Robust Approach for Reliable Dissemination of Critical Messages in Connected Vehicles
Anirudh Paranjothi, Urcun Tanik, Yuehua Wang, Mohammad S. Khan
Transactions on Emerging Telecommunications Technologies, 30(6), e3595, 2019
Scholar
GSTR: Secure Multi-hop Message Dissemination in Connected Vehicles Using Social Trust Model
Anirudh Paranjothi, Mohammad S. Khan, Sherali Zeadally, Ajinkya Pawar, David Hicks
Internet of Things, 7, 100071, 2019
Scholar
Hybrid-Vehcloud: An Obstacle Shadowing Approach for VANETs in Urban Environment
Anirudh Paranjothi, Mohammad S. Khan, Mohammed Atiquzzaman
IEEE 88th Vehicular Technology Conference (VTC-Fall), 2018, pp. 1–5
Scholar
DFCV: A Novel Approach for Message Dissemination in Connected Vehicles Using Dynamic Fog
Anirudh Paranjothi, Mohammad S. Khan, Mohammed Atiquzzaman
International Conference on Wired/Wireless Internet Communication, 2018, pp. 311–322
Scholar
Survey on Three Components of Mobile Cloud Computing: Offloading, Distribution and Privacy
Anirudh Paranjothi, Mohammad S. Khan, Mais Nijim, et al.
Journal of Computer and Communications, 5(06), 1–31, 2017
Scholar
Location Aware Message Dissemination in Connected Vehicles Using Multihop Technique
Anirudh Paranjothi
Texas A&M University, 2017
Scholar
MAvanet: Message Authentication in VANET using Social Networks
Anirudh Paranjothi, Mohammad S. Khan, Mais Nijim, Rajab Challoo
IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2016, pp. 1–8
Scholar

Ongoing Projects

Adaptive defenses for vehicular networks

Related publications

Dynamic K-Means Clustering for Sybil Attack Detection in VANETs

Sybil Attack Detection in VANETs: A Forgetting-Aware Approach Using Stochastic Gradient Descent with Exponential Weight Decay

XTVD: Robust Cross-Temporal Misbehavior Detection for Time-Varying Attacks in VANETs

Rethinking Misbehavior Detection Reliability in VANETs under Reaction-Aware Insider Attacks

Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication

A Survey and Comparative Analysis of Methods for Countering Sybil Attacks in VANETs

Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication

Trustworthy information for autonomous mobility

Related publications

Enhancing VANET Security: An Unsupervised Learning Approach for Mitigating False Information Attacks in VANETs

False Information Mitigation Using Pattern-based Anomaly Detection for Secure Vehicular Networks

Data Clustering-Based False Information Detection for Secure Connected and Autonomous Vehicles

Securing Connected and Autonomous Vehicles with Sliding Window-Based False Information Tracing

Information-Centric Intrusion Detection in Internet of Vehicles

Research Issues in False Information Broadcasting Rogue Node Detection for Green VANETs

Decentralized intelligence for the Internet of Vehicles

Related publications

TCESS: Trust Score-Based Clustering Approach for Enhanced Security and Stability in Vehicular Ad Hoc Networks

Decentralized Cluster Head Selection in IoV using Federated Deep Reinforcement Learning

Decentralized Clustering for Rural Internet of Vehicles Using Federated Deep Reinforcement Learning

Enabling Rural IoV Communication through Decentralized Clustering and Federated Learning

Trust-Based Security for Decentralized Clustering in IoV

Connected transportation beyond the city

Related publications

Infrastucture Preparedness for Autonomous Vehicles in Rural Areas

Identifying Gaps in Southwest Oklahoma NEMT Transit Networks

Infrastructure Preparedness for Autonomous Vehicles in Rural Areas

Security at the vehicular edge

Related publications

A Survey on Distributed Approaches for Security Enhancement in Vehicular Ad-Hoc Networks

Enhancing Security in VANETs Using Distributed Computing: A Review

GPU-based Parallel Computing for VANETs: Current State and Future Prospects

Enhancing Security in VANETs with Sybil Attack Detection Using Fog Computing

Sybil Attack Detection in VANETs using Fog Computing and Beamforming

A Statistical Approach for Enhancing Security in VANETs with Efficient Rogue Node Detection Using Fog Computing

Misbehavior Aware On-demand Intrusion Detection System to Enhance Security in VANETs with Efficient Rogue Node Detection and Prevention Techniques

Enhancing Security in VANETs with Efficient Sybil Attack Detection Using Fog Computing

F-RouND: Fog-based Rogue Nodes Detection in Vehicular Ad Hoc Networks

Recent Projects

Intrusion detection across connected systems

Related publications

A Comprehensive Systematic Review of Blockchain-based Intrusion Detection Systems

ROS-Lighthouse: An Intrusion Detection System (IDS) in ROS using Ensemble Learning

Intrusion Detection and Prevention for Connected Vehicles

Cooperative driving & congestion-aware networks

Related publications

PMCD: Platoon-Merging Approach for Cooperative Driving

VANETomo: A Congestion Identification and Control Scheme in Connected Vehicles Using Network Tomography

A Survey on Congestion Detection and Control in Connected Vehicles

Connected and Autonomous Vehicles in Smart Cities

Resilient communication in mobile environments

Related publications

Performance Analysis of Message Dissemination Techniques in VANET using Fog Computing

Message Dissemination in Connected Vehicles

Routing Protocols and Architecture for Disaster Area Network: A Survey

Hybrid-Vehfog: A Robust Approach for Reliable Dissemination of Critical Messages in Connected Vehicles

GSTR: Secure Multi-hop Message Dissemination in Connected Vehicles Using Social Trust Model

Hybrid-Vehcloud: An Obstacle Shadowing Approach for VANETs in Urban Environment

DFCV: A Novel Approach for Message Dissemination in Connected Vehicles Using Dynamic Fog

Survey on Three Components of Mobile Cloud Computing: Offloading, Distribution and Privacy

Location Aware Message Dissemination in Connected Vehicles Using Multihop Technique

MAvanet: Message Authentication in VANET using Social Networks