preprint
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How to find a GSMem malicious activity via an AI approach
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Paper overview
Abstract
This paper investigates the following problem: how to find a GSMem malicious activity effectively. To this end, this paper puts forward a new method based on Artificial Intelligence (AI). At first, we use a large quantity of data in terms of frequencies and amplitudes of some electromagnetic waves to train our models. And then, we input a given frequency and amplitude into the obtained models, predicting that whether a GSMem malicious activity occurs or not. The simulated experiments show that the new method is potential to detect a GSMem one, with low False Positive Rates (FPR) and low False Negative Rates (FNR).
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Publication details
- DOI
- 10.48550/arxiv.1801.02440
- OpenAlex
- W2783102568
- Document type
- preprint
- Language
- EN
- Source
- arXiv (Cornell University)
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