Heena Rathore

Orcid: 0000-0002-9403-8071

According to our database1, Heena Rathore authored at least 45 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Social-Psychology-Inspired Reinforcement Learning Framework for Conflict Management in Connected Vehicles.
IEEE Trans. Cogn. Dev. Syst., April, 2024

BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators.
Artif. Intell. Medicine, January, 2024

Avoiding False Social Conformity in Majority-Malicious Connected Vehicle Networks Employing Consensus-Based Reputation Estimates.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Detecting and Mitigating Colluding Attacks in Connected Vehicles using Reinforcement Learning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

A Multi-Level Dempster-Shafer and Reinforcement Learning-Based Reputation System for Connected Vehicle Security.
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023
Neuro-fuzzy analytics in athlete development (NueroFATH): a machine learning approach.
Neural Comput. Appl., November, 2023

DroneAttention: Sparse weighted temporal attention for drone-camera based activity recognition.
Neural Networks, February, 2023

Social Psychology Inspired Distributed Ledger Technique for Anomaly Detection in Connected Vehicles.
IEEE Trans. Intell. Transp. Syst., 2023

Advancing Perception in Artificial Intelligence through Principles of Cognitive Science.
CoRR, 2023

A New Index based on Power Splitting Indices for Predicting Proper Time of Controlled Islanding.
CoRR, 2023

Improving Reinforcement Learning Performance through a Behavioral Psychology-Inspired Variable Reward Scheme.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

GNN-RL: Dynamic Reward Mechanism for Connected Vehicle Security using Graph Neural Networks and Reinforcement Learning.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Poster: Opinion Dynamics for Enhancing Trust and Security in Connected Vehicle Networks.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Poster: Decentralized Simulation Workflow for Enhancing Connected Vehicle Security.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Image to Text Recognition for Detecting Human and Machine Altered News in Social Media.
Proceedings of the 10th International Conference on Internet of Things: Systems, 2023

CEMDQN: Cognitive-inspired Episodic Memory in Deep Q-networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

A Data Generation Workflow for Consensus-Based Connected Vehicle Security.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

Leveraging Neuro-Inspired Reinforcement Learning for Secure Reputation-based Communication in Connected Vehicles.
Proceedings of the IEEE Conference on Communications and Network Security, 2023

2022
CSITime: Privacy-preserving human activity recognition using WiFi channel state information.
Neural Networks, 2022

Using Epidemic Modeling, Machine Learning and Control Feedback Strategy for Policy Management of COVID-19.
IEEE Access, 2022

Intelligent Decision Making in Autonomous Vehicles using Cognition Aided Reinforcement Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

2021
TangleCV: A Distributed Ledger Technique for Secure Message Sharing in Connected Vehicles.
ACM Trans. Cyber Phys. Syst., 2021

Power Systems Transient Stability Indices: Hierarchical Clustering Based Detection of Coherent Groups Of Generators.
CoRR, 2021

Using Control Theory and Bayesian Reinforcement Learning for Policy Management in Pandemic Situations.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
A Survey of Blockchain Enabled Cyber-Physical Systems.
Sensors, 2020

Multi-layer security scheme for implantable medical devices.
Neural Comput. Appl., 2020

Invited Paper: mmMoReEdge: A mmWave Modular and Reconfigurable Testbed Design using a Smart Edge Framework.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

2019
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants.
IEEE Access, 2019

A Bio-Inspired Framework to Mitigate DoS Attacks in Software Defined Networking.
Proceedings of the 10th IFIP International Conference on New Technologies, 2019

TangleCV: Decentralized Technique for Secure Message Sharing in Connected Vehicles.
Proceedings of the ACM Workshop on Automotive Cybersecurity, 2019

2018
A Practical Framework for Preventing Distracted Pedestrian-Related Incidents Using Wrist Wearables.
IEEE Access, 2018

Multi-Layer Perceptron Model on Chip for Secure Diabetic Treatment.
IEEE Access, 2018

Mathematical Evaluation of Human Immune Systems For Securing Software Defined Networks.
Proceedings of the 6th International Conference on Wireless Networks and Mobile Communications, 2018

Towards a Practical Pedestrian Distraction Detection Framework using Wearables.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

DTW based Authentication for Wireless Medical Device Security.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

2017
A review of security challenges, attacks and resolutions for wireless medical devices.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

DLRT: Deep Learning Approach for Reliable Diabetic Treatment.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Consensus-Aware Sociopsychological Trust Model for Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2016

Sociopsychological trust model for Wireless Sensor Networks.
J. Netw. Comput. Appl., 2016

2014
Primary-secondary immune response adaptation for wireless sensor network.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014

Novel approach for security in Wireless Sensor Network using bio-inspirations.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013
Bio-inspired machine learning based Wireless Sensor Network security.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

2012
A system for building immunity in social networks.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

Modular Network Effects on Communicable Disease Models.
Proceedings of the Sixth Asia Modelling Symposium, 2012


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