A New Anomaly-Based Intrusion Detection System for MIL-STD-1553

Yunus Emre Ciloglu; Serif Bahtiyar

doi:10.1109/RAST57548.2023.10197927

A New Anomaly-Based Intrusion Detection System for MIL-STD-1553

Yunus Emre Ciloglu, Serif Bahtiyar

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

MIL-STD-1553 is a communication standard developed by the US DoD in 1975 and used in military aircraft, land, and space vehicles. It enables computers and devices to interact with each other. MIL-STD-1553 is used in safety-critical systems due to its dual redundant bus structure, high reliability, and low fault rate. While the standard was considered to be secure when it was developed, MIL-STD-1553-based systems have become vulnerable and they are an easy target for attackers. In this research, we propose a new anomaly-based intrusion detection system for MIL-STD-1553 that uses machine learning for classification purposes. We experimentally evaluated the proposed system against cyber attacks. We observed that Stochastic Gradient Descent provides adequate results for the detection of intrusions on the MIL-STD-1553 bus. Overall experimental results show that the proposed system can be used to detect intrusions on MIL-STD-1553-based communications.

Original language	English
Title of host publication	Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350323023
DOIs	https://doi.org/10.1109/RAST57548.2023.10197927
Publication status	Published - 2023
Event	10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Turkey Duration: 7 Jun 2023 → 9 Jun 2023

Publication series

Name	Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Conference

Conference	10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Country/Territory	Turkey
City	Istanbul
Period	7/06/23 → 9/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

anomaly
avionics
intrusion detection
machine learning
MIL-STD-1553

Access to Document

10.1109/RAST57548.2023.10197927

Cite this

Ciloglu, Y. E., & Bahtiyar, S. (2023). A New Anomaly-Based Intrusion Detection System for MIL-STD-1553. In Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST57548.2023.10197927

Ciloglu, Yunus Emre ; Bahtiyar, Serif. / A New Anomaly-Based Intrusion Detection System for MIL-STD-1553. Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023).

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abstract = "MIL-STD-1553 is a communication standard developed by the US DoD in 1975 and used in military aircraft, land, and space vehicles. It enables computers and devices to interact with each other. MIL-STD-1553 is used in safety-critical systems due to its dual redundant bus structure, high reliability, and low fault rate. While the standard was considered to be secure when it was developed, MIL-STD-1553-based systems have become vulnerable and they are an easy target for attackers. In this research, we propose a new anomaly-based intrusion detection system for MIL-STD-1553 that uses machine learning for classification purposes. We experimentally evaluated the proposed system against cyber attacks. We observed that Stochastic Gradient Descent provides adequate results for the detection of intrusions on the MIL-STD-1553 bus. Overall experimental results show that the proposed system can be used to detect intrusions on MIL-STD-1553-based communications.",

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Ciloglu, YE & Bahtiyar, S 2023, A New Anomaly-Based Intrusion Detection System for MIL-STD-1553. in Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023, Institute of Electrical and Electronics Engineers Inc., 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023, Istanbul, Turkey, 7/06/23. https://doi.org/10.1109/RAST57548.2023.10197927

A New Anomaly-Based Intrusion Detection System for MIL-STD-1553. / Ciloglu, Yunus Emre; Bahtiyar, Serif.
Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - MIL-STD-1553 is a communication standard developed by the US DoD in 1975 and used in military aircraft, land, and space vehicles. It enables computers and devices to interact with each other. MIL-STD-1553 is used in safety-critical systems due to its dual redundant bus structure, high reliability, and low fault rate. While the standard was considered to be secure when it was developed, MIL-STD-1553-based systems have become vulnerable and they are an easy target for attackers. In this research, we propose a new anomaly-based intrusion detection system for MIL-STD-1553 that uses machine learning for classification purposes. We experimentally evaluated the proposed system against cyber attacks. We observed that Stochastic Gradient Descent provides adequate results for the detection of intrusions on the MIL-STD-1553 bus. Overall experimental results show that the proposed system can be used to detect intrusions on MIL-STD-1553-based communications.

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Ciloglu YE, Bahtiyar S. A New Anomaly-Based Intrusion Detection System for MIL-STD-1553. In Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023). doi: 10.1109/RAST57548.2023.10197927

A New Anomaly-Based Intrusion Detection System for MIL-STD-1553

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Keywords

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