RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles

Z. Pooranian; M. Shojafar; P. Asef; M. Robinson; H. Lees; M. Longden

doi:10.1109/TrustCom60117.2023.00081

RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles

Z. Pooranian, M. Shojafar, P. Asef, M. Robinson, H. Lees, M. Longden

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

Abstract

This paper focuses on the requirement for creating novel frameworks to monitor and identify cyberattacks in Connected Vehicles (CVs). The health of the sensors in CVs becomes crucial when performance predictions and communication-related errors can compromise the resilience of the sensory network. To meet the evolving demands of connected vehicle (CV) systems, Intrusion Detection Systems (IDS) must be regularly updated and tailored as powerful monitoring entities. To equip cloud-tied operators with the ability to comprehend unusual sensor data originating from vehicles at the cloud level, we designed an innovative Real-time Cloud-based Adversarial IDS called RCA-IDS. This system exclusively focuses on detecting and explaining instances of sensor data manipulation caused by poisoning attacks. Two attack mechanisms were created utilizing random-based and silhouette-based clustering methods. Subsequently, two defence mechanisms based on multi-layer neural network-type deep learning were proposed to counter these attacks. The newly introduced RCA-IDS demonstrates a minimum accuracy of 90% in detecting cyberattacks.

Original language	English
Title of host publication	2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Place of Publication	Los Alamitos, CA, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	495-503
Number of pages	9
ISBN (Print)	979-8-3503-8199-3
DOIs	https://doi.org/10.1109/TrustCom60117.2023.00081
Publication status	Published - 3 Nov 2023
Event	2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) - Exeter, United Kingdom Duration: 1 Nov 2023 → 3 Nov 2023 Conference number: 22

Publication series

Name	International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings
Publisher	IEEE
ISSN (Print)	2324-9013

Conference

Conference	2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Abbreviated title	2023 IEEE TrustCom
Country/Territory	United Kingdom
City	Exeter
Period	1/11/23 → 3/11/23

Keywords

deep learning
cloud computing
connected vehicles
clustering algorithms
real-time systems
liquid crystal displays
classification algorithms

Access to Document

10.1109/TrustCom60117.2023.00081Licence: Unspecified

Cite this

Pooranian, Z., Shojafar, M., Asef, P., Robinson, M., Lees, H., & Longden, M. (2023). RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles. In 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 495-503). Article 00081 (International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/TrustCom60117.2023.00081

Pooranian, Z. ; Shojafar, M. ; Asef, P. et al. / RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles. 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers (IEEE), 2023. pp. 495-503 (International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings).

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abstract = "This paper focuses on the requirement for creating novel frameworks to monitor and identify cyberattacks in Connected Vehicles (CVs). The health of the sensors in CVs becomes crucial when performance predictions and communication-related errors can compromise the resilience of the sensory network. To meet the evolving demands of connected vehicle (CV) systems, Intrusion Detection Systems (IDS) must be regularly updated and tailored as powerful monitoring entities. To equip cloud-tied operators with the ability to comprehend unusual sensor data originating from vehicles at the cloud level, we designed an innovative Real-time Cloud-based Adversarial IDS called RCA-IDS. This system exclusively focuses on detecting and explaining instances of sensor data manipulation caused by poisoning attacks. Two attack mechanisms were created utilizing random-based and silhouette-based clustering methods. Subsequently, two defence mechanisms based on multi-layer neural network-type deep learning were proposed to counter these attacks. The newly introduced RCA-IDS demonstrates a minimum accuracy of 90% in detecting cyberattacks.",

keywords = "deep learning, cloud computing, connected vehicles, clustering algorithms, real-time systems, liquid crystal displays, classification algorithms",

author = "Z. Pooranian and M. Shojafar and P. Asef and M. Robinson and H. Lees and M. Longden",

note = "{\textcopyright} 2023 by The Institute of Electrical and Electronics Engineers (IEEE), Inc. All rights reserved.; 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023 IEEE TrustCom ; Conference date: 01-11-2023 Through 03-11-2023",

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Pooranian, Z, Shojafar, M, Asef, P, Robinson, M, Lees, H & Longden, M 2023, RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles. in 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)., 00081, International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings, Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, CA, USA, pp. 495-503, 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, United Kingdom, 1/11/23. https://doi.org/10.1109/TrustCom60117.2023.00081

RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles. / Pooranian, Z.; Shojafar, M.; Asef, P. et al.
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE), 2023. p. 495-503 00081 (International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings).

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

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AU - Shojafar, M.

AU - Asef, P.

AU - Robinson, M.

AU - Lees, H.

AU - Longden, M.

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N2 - This paper focuses on the requirement for creating novel frameworks to monitor and identify cyberattacks in Connected Vehicles (CVs). The health of the sensors in CVs becomes crucial when performance predictions and communication-related errors can compromise the resilience of the sensory network. To meet the evolving demands of connected vehicle (CV) systems, Intrusion Detection Systems (IDS) must be regularly updated and tailored as powerful monitoring entities. To equip cloud-tied operators with the ability to comprehend unusual sensor data originating from vehicles at the cloud level, we designed an innovative Real-time Cloud-based Adversarial IDS called RCA-IDS. This system exclusively focuses on detecting and explaining instances of sensor data manipulation caused by poisoning attacks. Two attack mechanisms were created utilizing random-based and silhouette-based clustering methods. Subsequently, two defence mechanisms based on multi-layer neural network-type deep learning were proposed to counter these attacks. The newly introduced RCA-IDS demonstrates a minimum accuracy of 90% in detecting cyberattacks.

AB - This paper focuses on the requirement for creating novel frameworks to monitor and identify cyberattacks in Connected Vehicles (CVs). The health of the sensors in CVs becomes crucial when performance predictions and communication-related errors can compromise the resilience of the sensory network. To meet the evolving demands of connected vehicle (CV) systems, Intrusion Detection Systems (IDS) must be regularly updated and tailored as powerful monitoring entities. To equip cloud-tied operators with the ability to comprehend unusual sensor data originating from vehicles at the cloud level, we designed an innovative Real-time Cloud-based Adversarial IDS called RCA-IDS. This system exclusively focuses on detecting and explaining instances of sensor data manipulation caused by poisoning attacks. Two attack mechanisms were created utilizing random-based and silhouette-based clustering methods. Subsequently, two defence mechanisms based on multi-layer neural network-type deep learning were proposed to counter these attacks. The newly introduced RCA-IDS demonstrates a minimum accuracy of 90% in detecting cyberattacks.

KW - deep learning

KW - cloud computing

KW - connected vehicles

KW - clustering algorithms

KW - real-time systems

KW - liquid crystal displays

KW - classification algorithms

U2 - 10.1109/TrustCom60117.2023.00081

DO - 10.1109/TrustCom60117.2023.00081

M3 - Conference contribution

SN - 979-8-3503-8199-3

T3 - International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings

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BT - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Los Alamitos, CA, USA

T2 - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Y2 - 1 November 2023 through 3 November 2023

ER -

Pooranian Z, Shojafar M, Asef P, Robinson M, Lees H, Longden M. RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles. In 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). Los Alamitos, CA, USA: Institute of Electrical and Electronics Engineers (IEEE). 2023. p. 495-503. 00081. (International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) proceedings). doi: 10.1109/TrustCom60117.2023.00081

RCA-IDS: A Novel Real-time Cloud-based Adversarial IDS for Connected Vehicles

Abstract

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Keywords

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