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Real Number Signal Processing Can Detect Denial-of-Service Attacks

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Citation Author(s):
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor
Submitted by:
Rafael Schaefer
Last updated:
24 June 2021 - 7:15am
Document Type:
Presentation Slides
Document Year:
2021
Event:
Presenters Name:
Rafael Schaefer
Paper Code:
SPCOM-2.5

Abstract 

Abstract: 

Wireless communication systems are inherently vulnerable to adversarial attacks since malevolent jammers might jam and disrupt the legitimate transmission intentionally. Of particular interest are so-called denial-of-service (DoS) attacks in which the jammer is able to completely disrupt the communication. Accordingly, it is of crucial interest for the legitimate users to detect such DoS attacks. Turing machines provide the fundamental limits of today’s digital computers and therewith of the traditional signal processing. It has been
shown that these are incapable of detecting DoS attacks. This stimulates the question of how powerful the signal processing must be to enable the detection of DoS attacks. This paper investigates the general computation framework of Blum-Shub-Smale machines which allows the processing and storage of arbitrary reals. It is shown that such real number signal processing then enables the detection of DoS attacks.

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