Information Fusion-based Cybersecurity Threat Detection for Intelligent Transportation System-Reference-Cited by-同舟云学术

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Information Fusion-based Cybersecurity Threat Detection for Intelligent Transportation System

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)
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Author:

Chowdhury Abdullahi¹,Naha Ranesh²,Kaisar Shahriar³,Khoshkholghi Mohammad Ali⁴,Ali Kamran⁴,Galletta Antonino⁵

Affiliation:

1. The University of Adelaide,School of Computer Science,Adelaide,Australia

2. University of Tasmania,School of ICT,Hobart,Australia

3. RMIT University,Dept. of IS and Business Analytics,Melbourne,Australia

4. Middlesex University,Dept. of Computer Science,London,UK

5. University of Messina,Dept. of Computer Science,Messina,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181139/10181105/10181175.pdf?arnumber=10181175

Reference19 articles.

1. A study of microscopic traffic simulation based on sumo platform;han;Computer Engineering and Science,2012

2. Attacks on Self-Driving Cars and Their Countermeasures: A Survey

3. Department of transport open data hub,2020

4. Vicroads traffic data,2019

5. Protecting Code Injection Attacks in Intelligent Transportation System

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