Locating Malicious Devices Using Unmanned Aerial Vehicles

• Evilasio Costa Junior UFC http://orcid.org/0000-0002-0281-2964
• Rafael Gomes UECE http://orcid.org/0000-0001-7922-0695
• Leonardo Rocha UECE
• Rossana Andrade UFC http://orcid.org/0000-0002-0186-2994

DOI: https://doi.org/10.5753/sbcup.2020.11220

Abstract

Internet access in public environments allows users to access their data online from anywhere. However, these environments can facilitate the action of malicious agents interested in promoting attacks to the network, and, because they are public places, making it challenging to locate these attackers. Nowadays, it is possible to detect an attack and, with that, a set of information about the device used in this action can be identified, which allows the access to be blocked. This information is not enough to determine the physical location of the attacker, which is essential to prevent future attacks, but it can assist in this task. Therefore, this work proposes a technique for the approximate location of a malicious device in a network, using trilateration to locate the target, with the aid of an unmanned aerial vehicle. The results indicate that the solution is capable of finding malicious devices.

Keywords: Location of malicious devices, drone, unmanned aerial vehicles, intrusion detection systems, trilateration

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