AI-Powered Cyber Threat Intelligence System for Real-Time Detection of Sophisticated Attacks

Assistant Professor P. Cathrine Ranjana; Assistant Professor Dhanusha Mol K P

AI-Powered Cyber Threat Intelligence System for Real-Time Detection of Sophisticated Attacks

Author : Assistant Professor P. Cathrine Ranjana, Assistant Professor Dhanusha Mol K P Journa Name: International Journal for Novel Research in Economics, Finance and Management Volume: 4 issue: 3 Year: Volume-4-issue-3 Views : 65

Abstract:

With the continuous increase in complexity of cyber threats like zero-day attacks and APTs, the effectiveness of conventional signature-based intrusion detection approaches becomes less relevant. This paper presents a novel approach of AI-based cyber threat intelligence (CTI) system by incorporating deep learning and real-time threat intelligence correlation capabilities for detecting such advanced attacks. This research uses CNN-LSTM model to detect cyber threats, which achieves an accuracy of 94.2% with CICIoTDataset2023. To enrich the system with threat intelligence, RAG technique along with large language models (LLMs) is used in the proposed framework for recognizing zero-day cyber attacks. The proposed CTI solution detects zero-day cyber attacks accurately with 98.5% accuracy. It also offers substantial