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.

📢 [21 Mar 2025] Indian patent titled "SYSTEM FOR EXTRACTING MALWARE CAPABILITIES AND METHOD THEREOF" has been granted having Patent No.: 563203 .

📢 [28 Feb 2025] Recent paper titled "PARAG: Proactive Answering Framework Integrating LLMs with Retrieval-Augmented Generation" is accepted at the European Interdisciplinary Cybersecurity Conference (EICC 2025).

📢 [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 - Core A).