Bikash Saha is a Ph.D. candidate at the Indian Institute of Technology Kanpur, under the supervision of Prof. Sandeep Kumar Shukla. His research focuses on detecting sophisticated threats within IoT and IIoT infrastructures. Additionally, He has a strong interest in the intersection of cybersecurity and machine learning, particularly in areas such as threat intelligence, Advanced Persistent Threat (APT) detection and attribution, and the application of Natural Language Processing in cybersecurity.

Before joining IIT Kanpur, he completed his Master’s in Computer Science & Engineering from Indian Institute of Technology Bhilai, under the supervision of Dr. Rishi Ranjan Singh. Additionally, he gained industry experience as a Software Developer at Sterlite Technologies Limited.

📢 [13 Jan 2025] Recent paper titled "MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs)" is accepted at the 22nd International Conference on Mining Software Repositories (MSR 2025) (Core A).

📢 [21 Dec 2024]  The paper titled "Automated Classification of Cybercrime Complaints using Transformer-based Language Models for Hinglish Texts" is up on Arxiv. [Paper]

📢 [20 Oct 2024] Recent paper titled "MAD: A Meta-Learning Approach to Detect Advanced Persistent Threats using Provenance Data in Industrial IoT" is accepted at Workshop on AI for Cyber Threat Intelligence (WAITI) 2024 co-located with the Annual Computer Security Applications Conference (ACSAC24).

📢 [26 Sept 2024] Recent paper titled "Chasing the Shadows: TTPs in Action to Attribute Advanced Persistent Threats" is up on Arxiv. [Paper]

📢 [19 Sept 2024] Recent survey titled "A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems" is up on Arxiv. [Paper]