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 language | English |
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Title of host publication | 19th Asia-Pacific Network Operations and Management Symposium |
Subtitle of host publication | Managing a World of Things, APNOMS 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 19-24 |
Number of pages | 6 |
ISBN (Electronic) | 9781538611012 |
DOIs | |
Publication status | Published - 2017 Nov 1 |
Event | 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 - Seoul, Korea, Republic of Duration: 2017 Sept 27 → 2017 Sept 29 |
Other
Other | 19th Asia-Pacific Network Operations and Management Symposium, APNOMS 2017 |
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Country/Territory | Korea, Republic of |
City | Seoul |
Period | 17/9/27 → 17/9/29 |
Keywords
- security
- Software-defined vehicular cloud
- support vector machine
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems and Management