Year: 2024
Type: conference-paper
Abstract: In the evolving field of cybersecurity, AI-driven chatbots are valuable. Unlike rigid rule-based bots, Large Language Model (LLM) based chatbots can provide flexible, context-aware responses across various domains. This research introduces IntellBot, a sophisticated cybersecurity chatbot built using advanced LLMs, Langchain, and a Retrieval-Augmented Generation model. IntellBot aggregates data from diverse sources, creating a comprehensive knowledge base on vulnerabilities, recent cyber threats, and emerging trends. It offers intelligent responses to enhance threat intelligence, incident response, and overall security awareness. A two-stage evaluation yielded high accuracy, with a BERT score above 0.8 and cosine similarity from 0.8 to 1, while RAGAS assessments scores consistently over 0.77, confirming the system's effectiveness.
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406858760