Aim:
To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.
Aim : The aim of this project is to design and develop a scalable cyber threat intelligence system that analyzes dark web content to identify potential cyber threats such as hacks, malware, and vulnerabilities, using API–powered large language models for efficient and high-speed reasoning.
Python
