On the difficulty of order constrained pattern matching with applications to feature matching based malware detection
Abstract
We formulate low-level malware detection using algorithms based on feature matching as Order-based Malware Detection with Critical Instructions (General-OMDCI): given a pattern in the form of a sequence of colored blocks, where each block contains a critical character (representing a unique sequence of critical instructions potentially associated with malware but without certainty), and a program , represented as a sequence of colored blocks with critical characters, the goal is to find two subsequences, of and of , with blocks matching in color and whose critical characters form a permutation of each other. When is a permutation in both colors and critical characters the problem is called OMDCI. If we additionally require , then the problem is called OMDCI+; if in this case is used as a parameter, then the OMDCI+ problem is easily shown to be FPT. Our main (negative) results are on the cases when is arbitrary and are summarized as follows: OMDCI+ is NP-complete, which implies OMDCI is also NP-complete. For the special case of OMDCI, deciding if the optimal solution has length (i.e., deciding if no part of appears in ) is co-NP-hard. As a result, the OMDCI problem does not admit an FPT algorithm unless P=co-NP. In summary, our results imply that using algorithms based on feature matching to identify malware or determine the absence of malware in a given low-level program are both hard.
Cite
@article{arxiv.2503.23176,
title = {On the difficulty of order constrained pattern matching with applications to feature matching based malware detection},
author = {Adiesha Liyanage and Braeden Sopp and Binhai Zhu},
journal= {arXiv preprint arXiv:2503.23176},
year = {2025}
}
Comments
23 pages, 2 figures