Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection

no code implementations • 13 Mar 2020 • Chih-Yuan Yang, Ravi Sahita

The damage caused by crypto-ransomware, due to encryption, is difficult to revert and cause data losses.

BIG-bench Machine Learning

Towards resilient machine learning for ransomware detection

no code implementations • 21 Dec 2018 • Li Chen, Chih-Yuan Yang, Anindya Paul, Ravi Sahita

In this case study, we propose to use GAN to automatically produce dynamic features that exhibit generalized malicious behaviors that can reduce the efficacy of black-box ransomware classifiers.

BIG-bench Machine Learning Generative Adversarial Network +1

HeNet: A Deep Learning Approach on Intel$^\circledR$ Processor Trace for Effective Exploit Detection

no code implementations • 8 Jan 2018 • Li Chen, Salmin Sultana, Ravi Sahita

The low-level model is a per-application behavior model, trained via transfer learning on a time-series of images generated from control flow trace of an execution.

Feature Engineering General Classification +3

Semi-supervised classification for dynamic Android malware detection

no code implementations • 19 Apr 2017 • Li Chen, Mingwei Zhang, Chih-Yuan Yang, Ravi Sahita

When this similarity is strong, MBSS and SVM with linear kernel maintain 90\% detection rate while $k$NN and LDA suffer great performance degradation.

Android Malware Detection Classification +2