MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008988 A) filed by Vemu Institute Of Technology, Chittoor, Andhra Pradesh, on Jan. 29, for 'system and method for detecting pdf malware using explainable artificial intelligence.'
Inventor(s) include Mr. K. Niranjan; Mr. N. Sravan Kumar; and Ms. Kudumu Swathi.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "PDF files have become a main channel for document sharing in the age of the digital world, but they are being abused by cybercriminals to spread malware more and more. The project "AI Based Malware Detection" introduces a smart system to detect and identify malicious PDF files using machine learning methods. Applying a labeled dataset from Kaggle, the system utilizes various algorithms such as Random Forest, C5.0, J48, Support Vector Machine (SVM), AdaBoost, Deep Neural Network (DNN), Gradient Boosting Machine (GBM), and K-Nearest Neighbors (KNN). The methodology is not only interested in obtaining high accuracy but is also interested in maintaining explainability by using interpretable AI models so that cybersecurity analysts can comprehend why each detection is made. Experimental outcomes prove higher rates of detection, better response to novel threats, and lower false positives than the conventional signature-based approach. This research adds value to more effective cybersecurity through a transparent, scalable, and strong AI-powered malware detection system for the protection of digital files."
Disclaimer: Curated by HT Syndication.
