A Study on the Performance Metrics for Evaluating Stepping Stone Detection (SSD)
Ali Yusny Daud1, Osman Ghazali2, Mohd Nizam Omar3, Dahliyusmanto4, Devi Willieam Anggara5
1Ali Yusny Daud, School of Computing, College of Arts & Sciences, University Utara Malaysia, Sintok, Kedah, Malaysia.
2Osman Ghazali, School of Computing, College of Arts & Sciences, University Utara Malaysia, Sintok, Kedah, Malaysia.
3Mohd Nizam Omar, School of Computing, College of Arts & Sciences, University Utara Malaysia, Sintok, Kedah, Malaysia.
4Dahliyusmanto, Department of Informatics Engineering, Faculty of Engineering, Universitas Riau, Indonesia.
5Devi Willieam Anggara, Department of Informatics Engineering, Faculty of Engineering, Universitas Riau, Indonesia.
Manuscript received on 03 February 2019 | Revised Manuscript received on 10 February 2019 | Manuscript Published on 22 March 2019 | PP: 144-146 | Volume-8 Issue-5S April 2019 | Retrieval Number: ES3408018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A good SSD managed to detect attacks that were initiated using stepping-stone hosts with high accuracy. In evaluating the SSD, various metrics have been used by many researchers but a benchmark should be introduced in calculating the measures. The performance metrics are used to evaluate Stepping Stone Detection (SSD) to recognize the best configurations or which SSD is better. The stepping stone attacks have pattern that needs to be recognized for the detection to be successful. In this paper, we analyze the approaches used in evaluating the SSD and suggested the beneficial insights metrics in evaluating the effectiveness or the accuracy of the SSD.
Keywords: Researchers but a Benchmark Should be Introduced in Calculating the Measures.
Scope of the Article: Agricultural Informatics and Communication