A novel implementation of parallel homomorphic encryption for secure data storage in cloud. - Kamalakanta Sethi; Amartya Majumdar; Padmalochan Bera (Cyber Security, 2017)

Integration of role based access control with homomorphic cryptosystem for secure and controlled access of data in cloud. - Kamalakanta Sethi; Anish Chopra; Padmalochan Bera; Bata Krishna Tripathy (SIN, 2017)

A novel malware analysis for malware detection and classification using machine learning algorithms. - Kamalakanta Sethi; Shankar Kumar Chaudhary; Bata Krishna Tripathy; Padmalochan Bera (SIN, 2017)

A Novel Malware Analysis Framework for Malware Detection and Classification using Machine Learning Approach. - Kamalakanta Sethi; Shankar Kumar Chaudhary; Bata Krishna Tripathy; Padmalochan Bera (ICDCN, 2018)

Distributed Multi-authority Attribute-Based Encryption Using Cellular Automata. - Ankit Pradhan; Kamalakanta Sethi; Shrohan Mohapatra; Padmalochan Bera (CANS, 2019)

A Novel Machine Learning Based Malware Detection and Classification Framework. - Kamalakanta Sethi; Rahul Kumar; Lingaraj Sethi; Padmalochan Bera; Prashanta Kumar Patra (Cyber Security, 2019)

A Scalable Attribute Based Encryption for Secure Data Storage and Access in Cloud. - Kamalakanta Sethi; Ankit Pradhan; R. Punith; Padmalochan Bera (Cyber Security, 2019)

A Lightweight Intrusion Detection System using Benford's Law and Network Flow Size Difference. - Kamalakanta Sethi; Rahul Kumar; Nishant Prajapati; Padmalochan Bera (COMSNETS, 2020)

Deep Reinforcement Learning based Intrusion Detection System for Cloud Infrastructure. - Kamalakanta Sethi; Rahul Kumar; Nishant Prajapati; Padmalochan Bera (COMSNETS, 2020)

Attribute-Based Data Security with Obfuscated Access Policy for Smart Grid Applications. - Kamalakanta Sethi; Ankit Pradhan; Padmalochan Bera (COMSNETS, 2020)

Smart Grid Data Security using Practical CP-ABE with Obfuscated Policy and Outsourcing Decryption. - Ankit Pradhan; R. Punith; Kamalakanta Sethi; Padmalochan Bera (CyberSA, 2020)

Machine Learning based Malware Detection in Cloud Environment using Clustering Approach. - Rahul Kumar; Kamalakanta Sethi; Nishant Prajapati; Rashmi Ranjan Rout; Padmalochan Bera (ICCCNT, 2020)

Robust Adaptive Cloud Intrusion Detection System Using Advanced Deep Reinforcement Learning. - Kamalakanta Sethi; Rahul Kumar; Dinesh Mohanty; Padmalochan Bera (SPACE, 2020)

A context-aware robust intrusion detection system: a reinforcement learning-based approach. - Kamalakanta Sethi; E. Sai Rupesh; Rahul Kumar; Padmalochan Bera; Venu Madhav Yatam (Int. J. Inf. Sec., 2020)

Practical traceable multi-authority CP-ABE with outsourcing decryption and access policy updation. - Kamalakanta Sethi; Ankit Pradhan; Padmalochan Bera (J. Inf. Secur. Appl., 2020)

Inviolable e-Question paper via QR code Watermarking and Visual Cryptography. - Aniket Agrawal; Kamalakanta Sethi; Padmalochan Bera (ANTS, 2021)

IoT-Based Aggregate Smart Grid Energy Data Extraction using Image Recognition and Partial Homomorphic Encryption. - Aniket Agrawal; Kamalakanta Sethi; Padmalochan Bera (ANTS, 2021)

Intelligent Intrusion Detection System for Smart Grid Applications. - Dinesh Mohanty; Kamalakanta Sethi; Sai Prasath; Rashmi Ranjan Rout; Padmalochan Bera (CyberSA, 2021)

PMTER-ABE: a practical multi-authority CP-ABE with traceability, revocation and outsourcing decryption for secure access control in cloud systems. - Kamalakanta Sethi; Ankit Pradhan; Padmalochan Bera (Clust. Comput., 2021)

Attention based multi-agent intrusion detection systems using reinforcement learning. - Kamalakanta Sethi; Venu Madhav Yatam; Rahul Kumar; Padmalochan Bera (J. Inf. Secur. Appl., 2021)

Blockchain-Based Cardinal E-Voting System Using Biometrics, Watermarked QR Code and Partial Homomorphic Encryption. - Aniket Agrawal; Kamalakanta Sethi; Padmalochan Bera (Cyber Science, 2022)

Analysis of Continual Learning Models for Intrusion Detection System. - Sai Prasath; Kamalakanta Sethi; Dinesh Mohanty; Padmalochan Bera; Subhransu Ranjan Samantaray (IEEE Access, 2022)

Secure Smart Grid Data Aggregation Based on Fog Computing and Blockchain Technology. - Kamalakanta Sethi; Aniket Agrawal; Padmalochan Bera (ICISS, 2023)

Federated reinforcement learning based intrusion detection system using dynamic attention mechanism. - Sreekanth Vadigi; Kamalakanta Sethi; Dinesh Mohanty; Shom Prasad Das; Padmalochan Bera (J. Inf. Secur. Appl., 2023)

Robust Image Steganography: A SLIC and QWT-Based Approach for Secure Data Embedding. - Gatram Sravan Kumar; Kamalakanta Sethi; Piyush Joshi; Padmalochan Bera (ICSP, 2024)

Leveraging Benford's Law for Effective Intrusion Detection in MQTT-IoT Networks. - Munmun Swain; Charugundla Lakshmi Nishitha; Meghana Maganti; Kamalakanta Sethi; Nikhil Tripathi (COMSNETS, 2025)

Lightweight DWT Steganography With ECC-ChaCha20 for Secure Medical IoT Systems. - Kamalakanta Sethi; Bishwajeet Sahoo; Shrishti; Pavan Kumar B. N.; Kasturi Dhal; Woong Cho; Gyanendra Prasad Joshi (IEEE Access, 2025)

Identifying communication sequence anomalies to detect DoS attacks against MQTT. - Munmun Swain; Nikhil Tripathi; Kamalakanta Sethi (Comput. Secur., 2025)

Con-Fog: Consensus-Driven Fog Node Selection in FU-Serve Platform for IoT Applications. - Imandi Raju; Arijit Roy; Kamalakanta Sethi; Pavan Kumar B. N.; Mohsen Guizani (IEEE Internet Things J., 2025)