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Towards Automatic Application Fingerprinting Using Performance Monitoring Counters

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

7th international Conference on the Engineering of Computer Based Systems

Publisher:

ACM

DOI:

https://doi.org/10.1145/3459960.3461557


Abstract

In this paper, we discuss a method for application fingerprintingusing conventional hardware and software performance counters.Modern applications are complex and often utilizes a broad spectraof the available hardware resources, where multiple performancecounters can be of significant interest. The number of performancecounters that can be captured simultaneously is, however, small dueto hardware limitations in most modern computers. We proposeto mitigate the hardware limitations using an intelligent mecha-nism that pinpoints the most relevant performance counters for anapplication’s performance. In our proposal, we utilize the Pearsoncorrelation coefficient to rank the most relevant PMU events andfilter out events of less relevance to an application’s execution. Ourultimate goal is to establish a comparable application fingerprintmodel using performance counters, that we can use to classify appli-cations. The classification procedure can then be used to determinethe type of application’s fingerprint, such as malicious software.

Bibtex

@inproceedings{Imtiaz6202,
author = {Shamoona Imtiaz and Jakob Danielsson and Moris Behnam and Gabriele Capannini and Jan Carlson and Marcus J{\"a}gemar},
title = {Towards Automatic Application Fingerprinting Using Performance Monitoring Counters},
isbn = {978-1-4503-9057-6/21/05},
month = {May},
year = {2021},
booktitle = {7th international Conference on the Engineering of Computer Based Systems},
publisher = {ACM},
url = {http://www.es.mdh.se/publications/6202-}
}