Evaluating accuracy in prudence analysis for cyber security

Omaru Maruatona; Peter Vamplew; Richard Dazeley; Paul A. Watters

doi:10.1007/978-3-319-70139-4_41

Evaluating accuracy in prudence analysis for cyber security

Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters^*

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Conventional Knowledge-Based Systems (KBS) have no way of detecting or signalling when their knowledge is insufficient to handle a case. Consequently, these systems may produce an uninformed conclusion when presented with a case beyond their current knowledge (brittleness) which results in the KBS giving incorrect conclusions due to insufficient knowledge or ignorance on a specific case. Prudence Analysis (PA) has been shown to be a viable alternative to brittleness in Ripple Down Rules (RDR) knowledge bases. To date, there have been two approaches to Prudence; attribute-based and structural-based prudence. This paper introduces Integrated Prudence Analysis (IPA), a novel Prudence method formed by combining these methods.

Original language	English
Title of host publication	Neural Information Processing
Subtitle of host publication	24th International Conference, ICONIP 2017: Proceedings
Editors	Derong Liu, Shengli Xie, Yuanqing Li, Dongbin Zhao, El-Sayed M. El-Alfy
Place of Publication	Cham, Switzerland
Publisher	Springer, Springer Nature
Pages	407-417
Number of pages	11
ISBN (Electronic)	9783319701394
ISBN (Print)	9783319701387
DOIs	https://doi.org/10.1007/978-3-319-70139-4_41
Publication status	Published - 2017
Externally published	Yes
Event	24th International Conference on Neural Information Processing, ICONIP 2017 - Guangzhou, China Duration: 14 Nov 2017 → 18 Nov 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Volume	10638
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	24th International Conference on Neural Information Processing, ICONIP 2017
Country/Territory	China
City	Guangzhou
Period	14/11/17 → 18/11/17

Keywords

Expert systems
IPA
Prudence analysis

Access to Document

10.1007/978-3-319-70139-4_41

Cite this

Maruatona, O., Vamplew, P., Dazeley, R., & Watters, P. A. (2017). Evaluating accuracy in prudence analysis for cyber security. In D. Liu, S. Xie, Y. Li, D. Zhao, & E.-S. M. El-Alfy (Eds.), Neural Information Processing: 24th International Conference, ICONIP 2017: Proceedings (pp. 407-417). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10638). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-70139-4_41

Maruatona, Omaru ; Vamplew, Peter ; Dazeley, Richard et al. / Evaluating accuracy in prudence analysis for cyber security. Neural Information Processing: 24th International Conference, ICONIP 2017: Proceedings. editor / Derong Liu ; Shengli Xie ; Yuanqing Li ; Dongbin Zhao ; El-Sayed M. El-Alfy. Cham, Switzerland : Springer, Springer Nature, 2017. pp. 407-417 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Evaluating accuracy in prudence analysis for cyber security",

abstract = "Conventional Knowledge-Based Systems (KBS) have no way of detecting or signalling when their knowledge is insufficient to handle a case. Consequently, these systems may produce an uninformed conclusion when presented with a case beyond their current knowledge (brittleness) which results in the KBS giving incorrect conclusions due to insufficient knowledge or ignorance on a specific case. Prudence Analysis (PA) has been shown to be a viable alternative to brittleness in Ripple Down Rules (RDR) knowledge bases. To date, there have been two approaches to Prudence; attribute-based and structural-based prudence. This paper introduces Integrated Prudence Analysis (IPA), a novel Prudence method formed by combining these methods.",

keywords = "Expert systems, IPA, Prudence analysis",

author = "Omaru Maruatona and Peter Vamplew and Richard Dazeley and Watters, \{Paul A.\}",

year = "2017",

doi = "10.1007/978-3-319-70139-4\_41",

language = "English",

isbn = "9783319701387",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer, Springer Nature",

pages = "407--417",

editor = "Derong Liu and Shengli Xie and Yuanqing Li and Dongbin Zhao and El-Alfy, \{El-Sayed M.\}",

booktitle = "Neural Information Processing",

address = "United States",

note = "24th International Conference on Neural Information Processing, ICONIP 2017 ; Conference date: 14-11-2017 Through 18-11-2017",

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Maruatona, O, Vamplew, P, Dazeley, R & Watters, PA 2017, Evaluating accuracy in prudence analysis for cyber security. in D Liu, S Xie, Y Li, D Zhao & E-SM El-Alfy (eds), Neural Information Processing: 24th International Conference, ICONIP 2017: Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10638, Springer, Springer Nature, Cham, Switzerland, pp. 407-417, 24th International Conference on Neural Information Processing, ICONIP 2017, Guangzhou, China, 14/11/17. https://doi.org/10.1007/978-3-319-70139-4_41

Evaluating accuracy in prudence analysis for cyber security. / Maruatona, Omaru; Vamplew, Peter; Dazeley, Richard et al.
Neural Information Processing: 24th International Conference, ICONIP 2017: Proceedings. ed. / Derong Liu; Shengli Xie; Yuanqing Li; Dongbin Zhao; El-Sayed M. El-Alfy. Cham, Switzerland: Springer, Springer Nature, 2017. p. 407-417 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10638).

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

TY - GEN

T1 - Evaluating accuracy in prudence analysis for cyber security

AU - Maruatona, Omaru

AU - Vamplew, Peter

AU - Dazeley, Richard

AU - Watters, Paul A.

PY - 2017

Y1 - 2017

N2 - Conventional Knowledge-Based Systems (KBS) have no way of detecting or signalling when their knowledge is insufficient to handle a case. Consequently, these systems may produce an uninformed conclusion when presented with a case beyond their current knowledge (brittleness) which results in the KBS giving incorrect conclusions due to insufficient knowledge or ignorance on a specific case. Prudence Analysis (PA) has been shown to be a viable alternative to brittleness in Ripple Down Rules (RDR) knowledge bases. To date, there have been two approaches to Prudence; attribute-based and structural-based prudence. This paper introduces Integrated Prudence Analysis (IPA), a novel Prudence method formed by combining these methods.

AB - Conventional Knowledge-Based Systems (KBS) have no way of detecting or signalling when their knowledge is insufficient to handle a case. Consequently, these systems may produce an uninformed conclusion when presented with a case beyond their current knowledge (brittleness) which results in the KBS giving incorrect conclusions due to insufficient knowledge or ignorance on a specific case. Prudence Analysis (PA) has been shown to be a viable alternative to brittleness in Ripple Down Rules (RDR) knowledge bases. To date, there have been two approaches to Prudence; attribute-based and structural-based prudence. This paper introduces Integrated Prudence Analysis (IPA), a novel Prudence method formed by combining these methods.

KW - Expert systems

KW - IPA

KW - Prudence analysis

UR - https://www.scopus.com/pages/publications/85035118934

U2 - 10.1007/978-3-319-70139-4_41

DO - 10.1007/978-3-319-70139-4_41

M3 - Conference proceeding contribution

AN - SCOPUS:85035118934

SN - 9783319701387

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 407

EP - 417

BT - Neural Information Processing

A2 - Liu, Derong

A2 - Xie, Shengli

A2 - Li, Yuanqing

A2 - Zhao, Dongbin

A2 - El-Alfy, El-Sayed M.

PB - Springer, Springer Nature

CY - Cham, Switzerland

T2 - 24th International Conference on Neural Information Processing, ICONIP 2017

Y2 - 14 November 2017 through 18 November 2017

ER -

Maruatona O, Vamplew P, Dazeley R, Watters PA. Evaluating accuracy in prudence analysis for cyber security. In Liu D, Xie S, Li Y, Zhao D, El-Alfy ESM, editors, Neural Information Processing: 24th International Conference, ICONIP 2017: Proceedings. Cham, Switzerland: Springer, Springer Nature. 2017. p. 407-417. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-70139-4_41

Evaluating accuracy in prudence analysis for cyber security

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Keywords

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