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New Classifier Design for Static Security Evaluation Using Artificial In-telligence Techniques

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 2 (2016)

DOI
10.11591/ijece.v6i2.9572
ISSN
2088-8708, 2088-8708
Published
2016-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

This paper proposes evaluation and classification classifier for static security evaluation (SSE) and classifica-tion. Data are generated on (30, 57, 118 and 300) bus IEEE test systems used to design the classifiers. The implementation decision tree methods on several IEEE test systems involved appropriateness SSE and classi-fication by using four algorithms of DT’s. Empirically, with the present of FSA, the implementation results indicate that these classifiers have the capability for system security evaluation and classification. Lastly, FSA is efficient and effective approach for real-time evaluation and classification classifier design.

Collaboration network of the authors

8 authors · 18 co-authorship links · 4 across different organisations

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  • University of Technology Malaysia
  • Tun Hussein Onn University of Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Fatin Liyana MuhamedinUniversity of Technology Malaysia2
M. A. M. PiahUniversity of Technology Malaysia2
Nordiana Azlin OthmanTun Hussein Onn University of Malaysia2
Nasir A. Al-geelaniAffiliation unknown2
N. F. KasriUniversity of Technology Malaysia2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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