SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment

no code implementations • 16 Apr 2022 • Marjan Golmaryami, Rahim Taheri, Zahra Pooranian, Mohammad Shojafar, Pei Xiao

In the SETTI architecture, we design three self-supervised attack techniques, namely Self-MDS, GSelf-MDS and ASelf-MDS.

Generative Adversarial Network Malware Detection

Similarity-based Android Malware Detection Using Hamming Distance of Static Binary Features

no code implementations • 13 Aug 2019 • Rahim Taheri, Meysam Ghahramani, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Mauro Conti

We test our experiments in a different type of features: API, intent, and permission features on these three datasets.

Android Malware Detection Malware Detection

On Defending Against Label Flipping Attacks on Malware Detection Systems

no code implementations • 13 Aug 2019 • Rahim Taheri, Reza Javidan, Mohammad Shojafar, Zahra Pooranian, Ali Miri, Mauro Conti

Our evaluation shows that using random forest feature selection and varying ratios of features can result in an improvement of up to 19\% accuracy when compared with the state-of-the-art method in the literature.

Android Malware Detection BIG-bench Machine Learning +4