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SortAlgo-Metrics: Identification of Cloud-Based Server Via a Simple Algorithmic Analysis

Baba, Samuel D, Yadav, Supriya, Howells, Gareth (2019) SortAlgo-Metrics: Identification of Cloud-Based Server Via a Simple Algorithmic Analysis. In: Proceddings of Eighth IEEE International Conference on Emerging Security Technologies. Proceddings of Eighth IEEE International Conference on Emerging Security Technologies. . IEEE, New York, NY, USA ISBN 978-1-72815-546-3. (doi:10.1109/EST.2019.8806214)

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Abstract

This paper introduces a novel technique to detect spoof or fake software systems via the generation of a unique digital signature based on a direct analysis of the construction of the system. Specifically, we model a novel mechanism referred to as SortAlgo-Metrics analysis to identify cloud-based servers. Experimentally, we deployed four cloud-based servers to run four sorting algorithms in order to extract features that are employed to perform statistical analysis upon with the aim to obtain their metrics which has further underpin the investigation of their behaviours. The model has been validated by comparing training data and unknown data, and the result has shown server 2-4 have a strong identification with 96% probability, while server 1 with 55%, it is surmised that is could be as the result of insufficient sample data. However, if such a simple model can produce a result with this high probability, this shows that with more complex features and sufficient data pulled from cloud-based servers, SortAlgo-Metrics model could generate a higher degree of basis numbers for ICMetrics technology entropy key generation and other complex systems.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/EST.2019.8806214
Uncontrolled keywords: Cloud computing, Cloud-based servers, Spoofing, attacks, ICMetric Technology, SortAlgo-Metrics Analysis, Spoofing
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Gareth Howells
Date Deposited: 19 Jul 2019 09:59 UTC
Last Modified: 26 Sep 2019 13:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75459 (The current URI for this page, for reference purposes)
Howells, Gareth: https://orcid.org/0000-0001-5590-0880
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