Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks
Joint Authors
Jhang, KyoungSon
Kim, ByoungKoo
Na, JungChan
Kang, DongHo
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Internet of Things (IoT) consists of several tiny devices connected together to form a collaborative computing environment.
Recently IoT technologies begin to merge with supervisory control and data acquisition (SCADA) sensor networks to more efficiently gather and analyze real-time data from sensors in industrial environments.
But SCADA sensor networks are becoming more and more vulnerable to cyber-attacks due to increased connectivity.
To safely adopt IoT technologies in the SCADA environments, it is important to improve the security of SCADA sensor networks.
In this paper we propose a multiple filtering technique based on whitelists to detect illegitimate packets.
Our proposed system detects the traffic of network and application protocol attacks with a set of whitelists collected from normal traffic.
American Psychological Association (APA)
Kang, DongHo& Kim, ByoungKoo& Na, JungChan& Jhang, KyoungSon. 2014. Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-483935
Modern Language Association (MLA)
Kang, DongHo…[et al.]. Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks. Journal of Applied Mathematics No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-483935
American Medical Association (AMA)
Kang, DongHo& Kim, ByoungKoo& Na, JungChan& Jhang, KyoungSon. Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-483935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483935