21 citations · 60 across the 6 of their papers we have counts for
6 papers
CoVE: Towards Confidential Computing on RISC-V Platforms
Ravi Sahita, Atish Patra, Vedvyas Shanbhogue +5
Multi-tenant computing platforms are typically comprised of several software and hardware components including platform firmware, host operating system kernel, virtualization monit…
Swivel: Hardening WebAssembly against Spectre
Shravan Narayan, Craig Disselkoen, Daniel Moghimi +8
We describe Swivel, a new compiler framework for hardening WebAssembly (Wasm) against Spectre attacks. Outside the browser, Wasm has become a popular lightweight, in-process sandbo…
Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection
Chih-Yuan Yang, Ravi Sahita
The damage caused by crypto-ransomware, due to encryption, is difficult to revert and cause data losses. In this paper, a machine learning (ML) classifier was built to early detect…
Towards resilient machine learning for ransomware detection
Li Chen, Chih-Yuan Yang, Anindya Paul +1
There has been a surge of interest in using machine learning (ML) to automatically detect malware through their dynamic behaviors. These approaches have achieved significant improv…
HeNet: A Deep Learning Approach on Intel Processor Trace for Effective Exploit Detection
Li Chen, Salmin Sultana, Ravi Sahita
This paper presents HeNet, a hierarchical ensemble neural network, applied to classify hardware-generated control flow traces for malware detection. Deep learning-based malware det…
Semi-supervised classification for dynamic Android malware detection
Li Chen, Mingwei Zhang, Chih-Yuan Yang +1
A growing number of threats to Android phones creates challenges for malware detection. Manually labeling the samples into benign or different malicious families requires tremendou…