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Computers
Article . 2021
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Modeling Networked Telemetry

Authors: Wondimu Zegeye; Richard Dean; Mulugeta Dugda; Farzad Moazzami; Andargachew Bezabih;

Modeling Networked Telemetry

Abstract

This paper presents the modeling of the networks supporting today’s telemetry. The incorporation of networking features has significantly enhanced the capability and performance of modern telemetry systems. The development of Integrated Network-Enhanced Telemetry protocols and the use of networked telemetry applications has introduced a host of potential cybersecurity risks inherent in modern networking. This paper will investigate how telemetry applications are uniquely structured with wide-, local-, and micro-area networks that represent modern telemetry solutions. The development of these models and the traffic on these networks will enable analysis into the unique threats and vulnerabilities of telemetry networks. The core of this paper is the notion that telemetry networks are unique, and modeling these networks is key to the current work. The core premise of this paper is also that telemetry networks look and function like Supervisory Command and Data Acquisition (SCADA) networks. By digging deeply into both of these structures, we have shown here that SCADA architectures can be adapted to telemetry networks. This approach opens the door to a wealth of analysis, strategies, and solutions for telemetry networks that are well developed in the SCADA realm.

Related Organizations
Keywords

Electronic computers. Computer science, telemetry, ICS-SCADA, network security, risk assessment, QA75.5-76.95, iNET

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold