A statistical-based anomaly detection method for connected cars in internet of things environment

Mee Lan Han; Sangjin Lee; Ah Reum Kang; Sungwook Kang; Jung Kyu Park; Huy Kang Kim

doi:10.1007/978-3-319-27293-1_9

A statistical-based anomaly detection method for connected cars in internet of things environment

Mee Lan Han, Sangjin Lee, Ah Reum Kang, Sungwook Kang, Jung Kyu Park, Huy Kang Kim

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

33 Citations (Scopus)

Abstract

A connected car is the most successful thing in the era of Internet of Things (IoT). The connections between vehicles and networks grow and provide more convenience to users. However, vehicles become exposed to malicious attacks from outside. Therefore, a connected car now needs strong safeguard to protect malicious attacks that can cause security and safety problems at the same time. In this paper, we proposed a method to detect the anomalous status of vehicles. We extracted the invehicle traffic data from the well-known commercial car and performed the one-way ANOVA test. As a result, our statistical-based detection method can distinguish the abnormal status of the connected cars in IoT environment.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer Verlag
Pages	89-97
Number of pages	9
Volume	9502
ISBN (Print)	9783319272924
DOIs	https://doi.org/10.1007/978-3-319-27293-1_9
Publication status	Published - 2015
Event	2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015 - Chengdu, China Duration: 2015 Dec 19 → 2015 Dec 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9502
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015
Country/Territory	China
City	Chengdu
Period	15/12/19 → 15/12/21

Keywords

Anomaly detection
ANOVA
Connected car
Internet of Things

ASJC Scopus subject areas

General Computer Science
Theoretical Computer Science

Access to Document

10.1007/978-3-319-27293-1_9

Cite this

Han, M. L., Lee, S., Kang, A. R., Kang, S., Park, J. K., & Kim, H. K. (2015). A statistical-based anomaly detection method for connected cars in internet of things environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9502, pp. 89-97). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9502). Springer Verlag. https://doi.org/10.1007/978-3-319-27293-1_9

A statistical-based anomaly detection method for connected cars in internet of things environment. / Han, Mee Lan; Lee, Sangjin; Kang, Ah Reum et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9502 Springer Verlag, 2015. p. 89-97 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9502).

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

Han, ML, Lee, S, Kang, AR, Kang, S, Park, JK & Kim, HK 2015, A statistical-based anomaly detection method for connected cars in internet of things environment. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9502, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9502, Springer Verlag, pp. 89-97, 2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015, Chengdu, China, 15/12/19. https://doi.org/10.1007/978-3-319-27293-1_9

Han ML, Lee S, Kang AR, Kang S, Park JK, Kim HK. A statistical-based anomaly detection method for connected cars in internet of things environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9502. Springer Verlag. 2015. p. 89-97. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-27293-1_9

Han, Mee Lan ; Lee, Sangjin ; Kang, Ah Reum et al. / A statistical-based anomaly detection method for connected cars in internet of things environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9502 Springer Verlag, 2015. pp. 89-97 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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A statistical-based anomaly detection method for connected cars in internet of things environment

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Keywords

ASJC Scopus subject areas

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