# Aiming to Detect a malware of GSM frequency

**Authors:** Weijun Zhu, Kai Nie

arXiv: 1705.04785 · 2017-05-16

## TL;DR

This paper presents a new algorithm to detect GSM frequency-related malware by analyzing memory threads and matching binary strings, validated through simulations.

## Contribution

The paper introduces a novel detection algorithm specifically targeting GSM frequency malware based on thread detection and binary string matching.

## Key findings

- The method effectively detects GSM malware in simulated environments.
- Memory thread analysis is crucial for identifying GSM-related threats.
- Binary string matching improves detection accuracy.

## Abstract

In order to find a specific type of malware which is related to GSM frequency, we propose an algorithm according to the most essential characteristics of this malware. At first, detect whether or not there exists a specific thread in the memory. And then, the generated binary strings will be tried to be matched with the one in the target computer. At last, determine whether this threat occurs or not. Furthermore, we study the effective of the new method via some simulations.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/1705.04785/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/1705.04785/full.md

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Source: https://tomesphere.com/paper/1705.04785