3 papers
cs.CR2018
The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations
Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai +1
We introduce a new malware detector - Shape-GD - that aggregates per-machine detectors into a robust global detector. Shape-GD is based on two insights: 1. Structural: actions such…
cs.CR2017
Exploiting Latent Attack Semantics for Intelligent Malware Detection
Mkhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai +1
Behavioral malware detectors promise to expose previously unknown malware and are an important security primitive. However, even the best behavioral detectors suffer from high fals…
cs.CR2016
EMMA: A New Platform to Evaluate Hardware-based Mobile Malware Analyses
Mikhail Kazdagli, Ling Huang, Vijay Reddi +1
Hardware-based malware detectors (HMDs) are a key emerging technology to build trustworthy computing platforms, especially mobile platforms. Quantifying the efficacy of HMDs agains…