I'm a PhD Scholar at Computer Science & Engineering Department , Indian Institute of Technology (IIT) Kanpur, India. I'm working with Prof. Sandeep Kumar Shukla and my PhD research is on Advanced Persistent Threats (APTs) attribution. You can find my CV here. 

Research Experience

1. Visiting PhD Scholar

[Mar 2023 - Aug 2023] 

Digital Security Department, Eurecom Institute, France

Supervisor: Prof. Davide Balzarotti

2. Intern

[Oct 2020 - Mar 2021]

National Critical Information Infrastructure Protection Centre, India

Supervisor: Major General (Retd.) Atul Mehra

1. Rani N, Saha B, Maurya V, & Shukla SK (2024). Chasing the Shadows: TTPs in Action to Attribute Advanced Persistent Threats. Under Review at Journal of Cybersecurity, Oxford University Press

2. Rani, N., Saha, B., Maurya, V., & Shukla, S. K. (2024). TTPXHunter: Actionable Threat Intelligence Extraction as TTPs form Finished Cyber Threat Reports. arXiv preprint arXiv:2403.03267. Under Review at ACM Journal of Digital Threats: Research and Practice (DTRAP).

3. Charan PS, Mukhopadhyay S, Manna S, Rani, N., Vaid A, Chunduri H, Anand PM, Shukla SK. ADAPT: Adaptive Camouflage Based Deception Orchestration For Trapping Advanced Persistent Threats. Digital Threats: Research and Practice (DTRAP).

4. Saha B, Rani, N., Shukla SK. MalXCap: A Method for Malware Capability Extraction. InInternational Conference on Information Security Practice and Experience 2023 Aug 24 (pp. 230-249). Singapore: Springer Nature Singapore.

5. Rani, N., Saha, B., Maurya, V., & Shukla, S. K. (2023). TTPHunter: Automated Extraction of Actionable Intelligence as TTPs from Narrative Threat Reports. In Proceedings of the 2023 Australasian Computer Science Week (pp. 126-134).

6. Rani, N., Mishra, A., Kumar, R., Ghosh, S., Shukla, S. K., & Bagade, P. (2023, February). A Generalized Unknown Malware Classification. In Security and Privacy in Communication Networks: 18th EAI International Conference, SecureComm 2022, Virtual Event, October 2022, Proceedings(pp. 793-806). Cham: Springer Nature Switzerland.

7. Maurya, V., Rani, N., & Shukla, S. K. (2022, December). RemOD: Operational Drift-Adaptive Intrusion Detection. In Security, Privacy, and Applied Cryptography Engineering: 12th International Conference, SPACE 2022, Jaipur, India, December 9–12, 2022, Proceedings (pp. 314-333). Cham: Springer Nature Switzerland.

8. Rani, N., & Dhavale, S. V. (2022). Leveraging machine learning for ransomware detection. arXiv preprint arXiv:2206.01919.

9. Rani, N., Dhavale, S. V., Singh, A., & Mehra, A. (2022, March). A Survey on Machine Learning-Based Ransomware Detection. In Proceedings of the Seventh International Conference on Mathematics and Computing: ICMC 2021 (pp. 171-186). Singapore: Springer Singapore.

1. RAMAN-CHARPAK Fellowship Award 2023

2. PMRF (Prime Minister Research Fellowship) Award 2022

3. C3i PhD Fellowship Award 2022

4. Winner of Smart India Hackathon 2020