Exponential Smoothing based Approach for Detection of Blackhole Attacks in IoT. - Rashmi Sahay; G. Geethakumari; Barsha Mitra; V. Thejas (ANTS, 2018)

Efficient Framework for Detection of Version Number Attack in Internet of Things. - Rashmi Sahay; G. Geethakumari; Barsha Mitra; Ipsit Sahoo (ISDA (2), 2018)

Traffic Convergence Detection in IoT LLNs: A Multilayer Perceptron based Mechanism. - Rashmi Sahay; G. Geethakumari; Koushik Modugu; Barsha Mitra (SSCI, 2018)

Attack graph - Based vulnerability assessment of rank property in RPL-6LOWPAN in IoT. - Rashmi Sahay; G. Geethakumari; Koushik Modugu (WF-IoT, 2018)

A Feedforward Neural Network based Model to Predict Sub-optimal Path Attack in IoT-LLNs. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (CCGRID, 2020)

A novel blockchain based framework to secure IoT-LLNs against routing attacks. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (Computing, 2020)

IB-RPL: Embedding Isolation and Blacklisting of Malicious Nodes in RPL for Securing IoT-LLNs. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (ANTS, 2021)

A novel Network Partitioning Attack against Routing Protocol in Internet of Things. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (Ad Hoc Networks, 2021)

Comparative Analysis of Machine Learning Models for Customer Segmentation. - Parmeshwara Joga; B. Harshini; Rashmi Sahay (ISDA (4), 2022)

Mitigating the worst parent attack in RPL based internet of things. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (Clust. Comput., 2022)

Correction: Mitigating the worst parent attack in RPL based internet of things. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (Clust. Comput., 2022)

A holistic framework for prediction of routing attacks in IoT-LLNs. - Rashmi Sahay; G. Geethakumari; Barsha Mitra (J. Supercomput., 2022)

Investigating Vulnerabilities of Information Solicitation Process in RPL-Based IoT Networks. - Rashmi Sahay; Cherukuri Gaurav Sushant (FICTA (1), 2023)

FGF-CNN: Federated Gradient Fusion For Convolutional Neural Networks - A Collaborative Learning Approach. - M. Priyadharshini; Rashmi Sahay; Kaushik Sekaran (ANTS, 2024)

Quantum-Enhanced Elliptic Curve Cryptography Implementations for IoT: A Comparative Analysis. - Rashmi Sahay; Kaushik Sekaran; M. Priyadharshini (ANTS, 2024)

AirTFT: A Novel Transformer-Based Approach for Air Quality Prediction. - Kaushik Sekaran; M. Priyadharshini; Rashmi Sahay (ANTS, 2024)

A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson's Disease Classification. - Kaushik Sekaran; Awari Harshavardhan; N. Sandhya; C. Sudha; Gujjeti Nagaraju; Hanumanthu Bhukya; Rashmi Sahay; J. Kalaivani 001 (IEEE Access, 2024)

Routing attack induced anomaly detection in IoT network using RBM-LSTM. - Rashmi Sahay; Anand Nayyar; Rajesh Kumar Shrivastava; Muhammad Bilal 003; Simar Preet Singh; Sangheon Pack (ICT Express, 2024)

An FL-based Energy-Efficient Opportunistic Intelligent Node Selection Scheme for Healthcare IoV Applications. - Pallati Narsimhulu; Rashmi Sahay (COMSNETS, 2025)

LIRAD: lightweight tree-based approaches on resource constrained IoT devices for attack detection. - Sanket Mishra; Thangellamudi Anithakumari; Rashmi Sahay; Rajesh Kumar Shrivastava; Sachi Nandan Mohanty; Afzal Hussain Shahid (Clust. Comput., 2025)