14 citations · 41 across the 23 of their papers we have counts for
9 papers · 1 filter
Evaluating the NIST Bugs Framework Against CWE as a Successor for Automated Vulnerability Classification
Md Nazmul Hoque, Shaswata Mitra, Subash Neupane +2
Vulnerability classification based on root cause weaknesses is essential for numerous cybersecurity activities, where the Common Weakness Enumeration (CWE) serves as a public repos…
FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection
Shaswata Mitra, Subash Neupane, Martin Duclos +5
Signature-based Intrusion Detection Systems (IDS) detect malicious activity by matching network or host events against predefined rules. Security analysts manually develop these ru…
IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
Damodar Panigrahi, Shaswata Mitra, Subash Neupane +2
Cyberattacks are becoming increasingly difficult to detect and prevent due to their sophistication. In response, Autonomous Intelligent Cyber-defense Agents (AICAs) are emerging as…
Poison Attacks and Adversarial Prompts Against an Informed University Virtual Assistant
Ivan A. Fernandez, Subash Neupane, Sudip Mittal +1
Recent research has shown that large language models (LLMs) are particularly vulnerable to adversarial attacks. Since the release of ChatGPT, various industries are adopting LLM-ba…
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra, Trisha Chakraborty, Subash Neupane +2
In an increasingly interconnected world, where information is the lifeblood of modern society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of di…
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
Shaswata Mitra, Subash Neupane, Trisha Chakraborty +4
Security Operations Center (SoC) analysts gather threat reports from openly accessible global threat repositories and tailor the information to their organization's needs, such as…
Impacts and Risk of Generative AI Technology on Cyber Defense
Subash Neupane, Ivan A. Fernandez, Sudip Mittal +1
Generative Artificial Intelligence (GenAI) has emerged as a powerful technology capable of autonomously producing highly realistic content in various domains, such as text, images,…
A White-Box Adversarial Attack Against a Digital Twin
Wilson Patterson, Ivan Fernandez, Subash Neupane +3
Recent research has shown that Machine Learning/Deep Learning (ML/DL) models are particularly vulnerable to adversarial perturbations, which are small changes made to the input dat…
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane, Jesse Ables, William Anderson +4
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity challenges has gained traction in industry and academia, partially as a result of widespr…