A Novel Hybrid Quantum-Classical Framework for an In-Vehicle Controller Area Network Intrusion Detection-Reference-Cited by-同舟云学术

A Novel Hybrid Quantum-Classical Framework for an In-Vehicle Controller Area Network Intrusion Detection

Published:2023 Issue: Volume:11 Page:96081-96092
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Salek M Sabbir¹^ORCID,Biswas Pronab Kumar²^ORCID,Pollard Jacquan³,Hales Jordyn⁴,Shen Zecheng⁴,Dixit Vivek⁴^ORCID,Chowdhury Mashrur¹^ORCID,Khan Sakib Mahmud¹,Wang Yao⁴^ORCID

Affiliation:

1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA

2. HDR, Phoenix, AZ, USA

3. Kiewit Engineering Inc., Lenexa, KS, USA

4. Department of Physics and Astronomy, Clemson University, Clemson, SC, USA

Funder

Center for Connected Multimodal Mobility (C2M2) (a U.S. Department of Transportation Tier 1 University Transportation Center) headquartered at Clemson University, Clemson, SC, USA

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/6287639/10005208/10214541-aam.pdf

Reference36 articles.

1. Quantum optimization for fast CAN bus intrusion detection

2. Quantum-inspired ant lion optimized hybrid k-means for cluster analysis and intrusion detection

3. Anomaly intrusion detection method for vehicular networks based on survival analysis

4. Application of quantum annealing to training of deep neural networks;adachi;arXiv 1510 06356,2015

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