Dr Narendra Singh

Sept 2023– Oct 2024 -- Project Fellow, IIT Patna R&D Unit, Collaborative Learning for Early Detection of Fraud in Fintech Application
Oct 2022– Aug 2023 – Assistant Professor – JAIN (Deemed-to-be-University), Faculty of Engineering and Technology (FET)
Aug 2020– March 2022 -- Project Fellow, IIT Patna R&D Unit, Project Sponsored by the Ministry of Home Affairs, Government of India

Narendra Singh Lodhi is completed his Ph.D. at the Department of Computer Science and Engineering, from Indian Institute of Technology, Patna, India. Prior to this, he received his M.Tech degree in Computer Science and Engineering from Indian Institute of Technology, Patna, India. My research is focused on AI-driven techniques for early-stage malware detection using static and dynamic analysis. I have worked on various projects related to cybersecurity, including the Centre of Excellence in Cyber Crime Prevention against Women and Children Safety sponsored by Ministry of Home Affairs, India.

2021, Second position in “the VJ Hackathon on problem statement Crop Nutrient Disasters”, organized by Valluru palli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Telangana, India
2022, Presented research paper in ICISS 2022 “18th International Conference on Information Systems 2022”, orga nized by Indian Institute of Information Technology, Tirupati, India.

Journal Publications

Narendra Singh and Somanath Tripathy (2025), Unveiling the veiled: An early stage detection of fileless malware, Computers & Security, 150 (2025) 104231.
Narendra Singh andSomanathTripathy(2024), It’s too late if exfiltrate: Early stage Android ransomware detection, Computers & Security, 141 (2024), 103819.
. Narendra Singh and Somanath Tripathy, FedCLDroid: Federated Continuous Learning for Evolving Android Threats, Under review in Cybersecurity Journal.
Narendra Singh and Somanath Tripathy, FedShield: Federated Learning based Robust Online Payment Fraud Detection, Under review in Expert Systems with Applications.
. Narendra Singh and Somanath Tripathy, Vision: A Memory Forensic Approach to Detect Malware at Early Stage, Under review in IEEE Transactions on Information Forensics and Security.
Narendra Singh and Somanath Tripathy, AslanEye: An Early Stage Detection of Advanced Persistent Threats, Under review in IEEE Transactions on Network and Service Management

Conference

Narendra Singh and Somanath Tripathy (2023), MDLDroid: Multimodal Deep Learning based Android Malware Detection, 19th International Conference on Information Systems Security- ICISS 2023, DOI:10.1007/978-3 031-49099-6_10.
Narendra Singh and Somanath Tripathy and Bruhadeshwar Bezawada (2023), SHIELD: A Multimodal Deep Learning Framework For Android Malware Detection, 18th International Conference on Information Systems Security- ICISS 2022, https://link.springer.com/chapter/10.1007/978-3-031-23690-7_4.
Narendra Singh and Somanath Tripathy and Bruhadeshwar Bezawada (2023), SHIELD: A Multimodal Deep Learning Framework For Android Malware Detection, 18th International Conference on Information Systems Security- ICISS 2022, https://link.springer.com/chapter/10.1007/978-3-031-23690-7_4.
Narendra Singh and Somanath Tripathy, Collaborative learning based effective malware detection system, Work shops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD2020), https://link.springer.com/chapter/10.1007/978-3-030-65965-3_13.