A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression

المؤلفون المشاركون

Xie, Lun
Li, Weize
Wang, Zhiliang

المصدر

Journal of Electrical and Computer Engineering

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-02-01

دولة النشر

مصر

عدد الصفحات

14

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

Research on stealthiness has become an important topic in the field of data integrity (DI) attacks.

To construct stealthy DI attacks, a common assumption in most related studies is that attackers have prior model knowledge of physical systems.

In this paper, such assumption is relaxed and a covert agent is proposed based on the least squares support vector regression (LSSVR).

By estimating a plant model from control and sensory data, the LSSVR-based covert agent can closely imitate the behavior of the physical plant.

Then, the covert agent is used to construct a covert loop, which can keep the controller’s input and output both stealthy over a finite time window.

Experiments have been carried out to show the effectiveness of the proposed method.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Weize& Xie, Lun& Wang, Zhiliang. 2018. A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1184530

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Weize…[et al.]. A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1184530

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Weize& Xie, Lun& Wang, Zhiliang. A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1184530

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1184530