Research on Malicious Software Detection and Clearing Algorithms Based on Artificial Intelligence
Shanshan Lei, Jindong He, Huimin Ye · 2024
The proliferation of malicious software poses extreme security threats to network users, enterprises, industrial facilities, networks, and information devices. With the rapid growth of artificial intelligence (AI), machine learning (ML) and deep learning (DL) technologies are gradually being introduced into the detection of malicious software, which is called intelligent malware detection technology. Malicious software detection is based on malicious software analysis technology to obtain program information and conduct statistical analysis to construct a data source. Finally, a set method is used to classify and identify malicious software. Traditional malware detection methods, faced with the difficulty of quickly identifying a large number of malicious samples, propose a DL based malware detection and removal algorithm. Using DL algorithm, train a malware detection model by extracting prominent features of malware, and develop malware detection tools to detect and classify malware, improving the efficiency and precision of malware detection. The experimental results show that the algorithm designed in this article can effectively detect and clear malicious software.