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

Mathematics

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