The novel approach of this project provides the ability to detect malware on mobile devices. As the inference engine for malware detection, the SecML was utilized to evaluate the security of a malware detector which is based on Variational Quantum Classifier (VQC). The detection process is performed by taking into account the malware’s features, captured on the mobile devices. Experimental research shows that the SVMs are able to produce accurate classification results.
