Stepping Stone Detection: Measuring the SSD Capability
Ali Yusny Daud1, Osman Ghazali2, Mohd Nizam Omar3
1Ali Yusny Daud, School of Computing, University Utara Malaysia, Sintok, Kedah, Malaysia.
2Osman Ghazali, School of Computing, University Utara Malaysia, Sintok, Kedah, Malaysia.
3Mohd Nizam Omar, School of Computing, University Utara Malaysia, Sintok, Kedah, Malaysia.
Manuscript received on 03 February 2019 | Revised Manuscript received on 10 February 2019 | Manuscript Published on 22 March 2019 | PP: 140-143 | Volume-8 Issue-5S April 2019 | Retrieval Number: ES3407018319/19©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: The performance of Stepping Stone Detection (SSD) is measured by the accuracy to detect attacks that were initiated using stepping-stone hosts. The pattern of the attacks needs to be recognized to implement the detection. To evaluate the SSD, a variation of metrics have been used by many researchers but a benchmark should be introduced in calculating the measures. In this paper, we review the approaches used in evaluating the SSD and proposed the beneficial insights metrics in evaluating the effectiveness of SSD.
Keywords: Stepping Stones, Intrusion, False Negative Rates, False Positive Rates, Percentage of Success.
Scope of the Article: Parallel Computing on GPU