Design of a hierarchical principal component analysis system for field intrusion detection

Aleksey Y. Ashikhmin; James H. Graham; Ahmed H. Desoky; Benjamin Arazi

Design of a hierarchical principal component analysis system for field intrusion detection

Aleksey Y. Ashikhmin, James H. Graham, Ahmed H. Desoky, Benjamin Arazi

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

1 Scopus citations

Abstract

Hierarchical Principal Component Analysis (HPCA) is a fast data reduction technique for Field Intrusion Detection System (FIDS). This paper presents a mathematical model for group assignment of HPCA. For testing purposes a chemical distillation process controlled by SCADA system was used to perform real-time analysis and evaluation of the proposed FIDS. Detailed analysis of the FIDS is discussed including the receiver operating characteristic curve (ROC), clustering variables, implementation of a low-pass filter to reduce high noise, and the sensitivity of HPCA versus PCA. Experimental intrusion detection results are promising.

Original language	English
Title of host publication	22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009
Pages	125-132
Number of pages	8
State	Published - 1 Dec 2009
Externally published	Yes
Event	22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009 - San Francisco, CA, United States Duration: 4 Nov 2009 → 6 Nov 2009

Publication series

Name	22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009

Conference

Conference	22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009
Country/Territory	United States
City	San Francisco, CA
Period	4/11/09 → 6/11/09

Keywords

Computer security
Network intrusion detection
Principal components analysis
SCADA

ASJC Scopus subject areas

Computer Science Applications
Industrial and Manufacturing Engineering

Cite this

Ashikhmin, A. Y., Graham, J. H., Desoky, A. H., & Arazi, B. (2009). Design of a hierarchical principal component analysis system for field intrusion detection. In 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009 (pp. 125-132). (22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009).

Ashikhmin, Aleksey Y. ; Graham, James H. ; Desoky, Ahmed H. et al. / Design of a hierarchical principal component analysis system for field intrusion detection. 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009. 2009. pp. 125-132 (22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009).

@inproceedings{3dfae1b0110a4250a79f8215124f1949,

title = "Design of a hierarchical principal component analysis system for field intrusion detection",

abstract = "Hierarchical Principal Component Analysis (HPCA) is a fast data reduction technique for Field Intrusion Detection System (FIDS). This paper presents a mathematical model for group assignment of HPCA. For testing purposes a chemical distillation process controlled by SCADA system was used to perform real-time analysis and evaluation of the proposed FIDS. Detailed analysis of the FIDS is discussed including the receiver operating characteristic curve (ROC), clustering variables, implementation of a low-pass filter to reduce high noise, and the sensitivity of HPCA versus PCA. Experimental intrusion detection results are promising.",

keywords = "Computer security, Network intrusion detection, Principal components analysis, SCADA",

author = "Ashikhmin, {Aleksey Y.} and Graham, {James H.} and Desoky, {Ahmed H.} and Benjamin Arazi",

year = "2009",

month = dec,

day = "1",

language = "English",

isbn = "9781615676668",

series = "22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009",

pages = "125--132",

booktitle = "22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009",

note = "22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009 ; Conference date: 04-11-2009 Through 06-11-2009",

}

Ashikhmin, AY, Graham, JH, Desoky, AH & Arazi, B 2009, Design of a hierarchical principal component analysis system for field intrusion detection. in 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009. 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009, pp. 125-132, 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009, San Francisco, CA, United States, 4/11/09.

Design of a hierarchical principal component analysis system for field intrusion detection. / Ashikhmin, Aleksey Y.; Graham, James H.; Desoky, Ahmed H. et al.
22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009. 2009. p. 125-132 (22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009).

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

TY - GEN

T1 - Design of a hierarchical principal component analysis system for field intrusion detection

AU - Ashikhmin, Aleksey Y.

AU - Graham, James H.

AU - Desoky, Ahmed H.

AU - Arazi, Benjamin

PY - 2009/12/1

Y1 - 2009/12/1

N2 - Hierarchical Principal Component Analysis (HPCA) is a fast data reduction technique for Field Intrusion Detection System (FIDS). This paper presents a mathematical model for group assignment of HPCA. For testing purposes a chemical distillation process controlled by SCADA system was used to perform real-time analysis and evaluation of the proposed FIDS. Detailed analysis of the FIDS is discussed including the receiver operating characteristic curve (ROC), clustering variables, implementation of a low-pass filter to reduce high noise, and the sensitivity of HPCA versus PCA. Experimental intrusion detection results are promising.

AB - Hierarchical Principal Component Analysis (HPCA) is a fast data reduction technique for Field Intrusion Detection System (FIDS). This paper presents a mathematical model for group assignment of HPCA. For testing purposes a chemical distillation process controlled by SCADA system was used to perform real-time analysis and evaluation of the proposed FIDS. Detailed analysis of the FIDS is discussed including the receiver operating characteristic curve (ROC), clustering variables, implementation of a low-pass filter to reduce high noise, and the sensitivity of HPCA versus PCA. Experimental intrusion detection results are promising.

KW - Computer security

KW - Network intrusion detection

KW - Principal components analysis

KW - SCADA

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M3 - Conference contribution

AN - SCOPUS:84883734200

SN - 9781615676668

T3 - 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009

SP - 125

EP - 132

BT - 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009

T2 - 22nd International Conference on Computer Applications in Industry and Engineering 2009, CAINE 2009

Y2 - 4 November 2009 through 6 November 2009

ER -

Design of a hierarchical principal component analysis system for field intrusion detection

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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