Collaborative security attack detection in software-defined vehicular networks

Myeongsu Kim, Insun Jang, Sukjin Choo, Jungwoo Koo, Sangheon Pack

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Vehicular ad hoc networks (VANETs) are taking more attention from both the academia and the automotive industry due to a rapid development of wireless communication technologies. And with this development, vehicles called connected cars are increasingly being equipped with more sensors, processors, storages, and communication devices as they start to provide both infotainment and safety services through V2X communication. Such increase of vehicles is also related to the rise of security attacks and potential security threats. In a vehicular environment, security is one of the most important issues and it must be addressed before VANETs can be widely deployed. Conventional VANETs have some unique characteristics such as high mobility, dynamic topology, and a short connection time. Since an attacker can launch any unexpected attacks, it is difficult to predict these attacks in advance. To handle this problem, we propose collaborative security attack detection mechanism in a software-defined vehicular networks that uses multi-class support vector machine (SVM) to detect various types of attacks dynamically. We compare our security mechanism to existing distributed approach and present simulation results. The results demonstrate that the proposed security mechanism can effectively identify the types of attacks and achieve a good performance regarding high precision, recall, and accuracy.

Original languageEnglish
Title of host publication19th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publicationManaging a World of Things, APNOMS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-24
Number of pages6
ISBN (Electronic)9781538611012
DOIs
Publication statusPublished - 2017 Nov 1
Event19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 - Seoul, Korea, Republic of
Duration: 2017 Sep 272017 Sep 29

Other

Other19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017
CountryKorea, Republic of
CitySeoul
Period17/9/2717/9/29

Keywords

  • security
  • Software-defined vehicular cloud
  • support vector machine

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

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  • Cite this

    Kim, M., Jang, I., Choo, S., Koo, J., & Pack, S. (2017). Collaborative security attack detection in software-defined vehicular networks. In 19th Asia-Pacific Network Operations and Management Symposium: Managing a World of Things, APNOMS 2017 (pp. 19-24). [8094172] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APNOMS.2017.8094172