Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses

Yungui Zhang; Jiuchuan Jiang; Jingsheng Lei; Wenyin Liu

doi:10.1007/978-3-642-35211-9_61

Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses

Yungui Zhang
, Jiuchuan Jiang
, Jingsheng Lei
, Wenyin Liu

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In now networked control systems, some nodes may be invaded and become abnormal which may tamper with the execution of tasks; especially, in clustered networked control systems, the nodes are hierarchical and hybrid, thus the detection of abnormal nodes is difficult. To deal with such problem, this paper uses the multiagent method to model and analyze the clustered control systems, where the cluster stations and control units are modeled as the coalition systems of hybrid agents. Based on the multiagent model, then the paper presents the concept of group prominence to measure the strategy characteristics of cluster stations and control units; finally, a model for detecting abnormal nodes based on multiagent group prominence analyses is presented, which can effectively improve the consistency of the system. © Springer-Verlag Berlin Heidelberg 2012.

Original language	English
Title of host publication	Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings
Publisher	Springer Verlag
Pages	471-484
Volume	345
ISBN (Print)	9783642352102
DOIs	https://doi.org/10.1007/978-3-642-35211-9_61
Publication status	Published - 2012
Event	2nd International Conference on Network Computing and Information Security, NCIS 2012 - Shanghai, China Duration: 7 Dec 2012 → 9 Dec 2012

Publication series

Name	Communications in Computer and Information Science
Volume	345
ISSN (Print)	1865-0929

Conference

Conference	2nd International Conference on Network Computing and Information Security, NCIS 2012
Place	China
City	Shanghai
Period	7/12/12 → 9/12/12

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by the National Natural Science Foundation of China (No. 61073189).

Research Keywords

Abnormal Nodes
Clustered Control Systems
Group Prominence Analyses
Multiagent Modeling
Networked Control Systems

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10.1007/978-3-642-35211-9_61

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Zhang, Y., Jiang, J., Lei, J., & Liu, W. (2012). Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses. In Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings (Vol. 345, pp. 471-484). (Communications in Computer and Information Science; Vol. 345). Springer Verlag. https://doi.org/10.1007/978-3-642-35211-9_61

Zhang, Yungui ; Jiang, Jiuchuan ; Lei, Jingsheng et al. / Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses. Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings. Vol. 345 Springer Verlag, 2012. pp. 471-484 (Communications in Computer and Information Science).

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title = "Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses",

abstract = "In now networked control systems, some nodes may be invaded and become abnormal which may tamper with the execution of tasks; especially, in clustered networked control systems, the nodes are hierarchical and hybrid, thus the detection of abnormal nodes is difficult. To deal with such problem, this paper uses the multiagent method to model and analyze the clustered control systems, where the cluster stations and control units are modeled as the coalition systems of hybrid agents. Based on the multiagent model, then the paper presents the concept of group prominence to measure the strategy characteristics of cluster stations and control units; finally, a model for detecting abnormal nodes based on multiagent group prominence analyses is presented, which can effectively improve the consistency of the system. {\textcopyright} Springer-Verlag Berlin Heidelberg 2012.",

keywords = "Abnormal Nodes, Clustered Control Systems, Group Prominence Analyses, Multiagent Modeling, Networked Control Systems",

author = "Yungui Zhang and Jiuchuan Jiang and Jingsheng Lei and Wenyin Liu",

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language = "English",

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Zhang, Y, Jiang, J, Lei, J & Liu, W 2012, Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses. in Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings. vol. 345, Communications in Computer and Information Science, vol. 345, Springer Verlag, pp. 471-484, 2nd International Conference on Network Computing and Information Security, NCIS 2012, Shanghai, China, 7/12/12. https://doi.org/10.1007/978-3-642-35211-9_61

Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses. / Zhang, Yungui; Jiang, Jiuchuan; Lei, Jingsheng et al.
Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings. Vol. 345 Springer Verlag, 2012. p. 471-484 (Communications in Computer and Information Science; Vol. 345).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses

AU - Zhang, Yungui

AU - Jiang, Jiuchuan

AU - Lei, Jingsheng

AU - Liu, Wenyin

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2012

Y1 - 2012

N2 - In now networked control systems, some nodes may be invaded and become abnormal which may tamper with the execution of tasks; especially, in clustered networked control systems, the nodes are hierarchical and hybrid, thus the detection of abnormal nodes is difficult. To deal with such problem, this paper uses the multiagent method to model and analyze the clustered control systems, where the cluster stations and control units are modeled as the coalition systems of hybrid agents. Based on the multiagent model, then the paper presents the concept of group prominence to measure the strategy characteristics of cluster stations and control units; finally, a model for detecting abnormal nodes based on multiagent group prominence analyses is presented, which can effectively improve the consistency of the system. © Springer-Verlag Berlin Heidelberg 2012.

AB - In now networked control systems, some nodes may be invaded and become abnormal which may tamper with the execution of tasks; especially, in clustered networked control systems, the nodes are hierarchical and hybrid, thus the detection of abnormal nodes is difficult. To deal with such problem, this paper uses the multiagent method to model and analyze the clustered control systems, where the cluster stations and control units are modeled as the coalition systems of hybrid agents. Based on the multiagent model, then the paper presents the concept of group prominence to measure the strategy characteristics of cluster stations and control units; finally, a model for detecting abnormal nodes based on multiagent group prominence analyses is presented, which can effectively improve the consistency of the system. © Springer-Verlag Berlin Heidelberg 2012.

KW - Abnormal Nodes

KW - Clustered Control Systems

KW - Group Prominence Analyses

KW - Multiagent Modeling

KW - Networked Control Systems

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U2 - 10.1007/978-3-642-35211-9_61

DO - 10.1007/978-3-642-35211-9_61

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9783642352102

VL - 345

T3 - Communications in Computer and Information Science

SP - 471

EP - 484

BT - Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings

PB - Springer Verlag

T2 - 2nd International Conference on Network Computing and Information Security, NCIS 2012

Y2 - 7 December 2012 through 9 December 2012

ER -

Zhang Y, Jiang J, Lei J, Liu W. Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses. In Network Computing and Information Security : Second International Conference, NCIS 2012 Shanghai, China, December 7-9, 2012 Proceedings. Vol. 345. Springer Verlag. 2012. p. 471-484. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-35211-9_61

Detection of abnormal nodes in clustered control systems based on multiagent group prominence analyses

Abstract

Publication series

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Bibliographical note

Funding

Research Keywords

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