The Relative Security Metric of Information Systems: Using AIMD Algorithms
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| Language: | English |
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University of Cincinnati / OhioLINK
2016
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=ucin1462278857 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin14622788572021-08-03T06:36:25Z The Relative Security Metric of Information Systems: Using AIMD Algorithms Owusu-Kesseh, Daniel Computer Science Security Metrics Additive Increase and Multiplicative Decrease AIMD algorithm Security Ranking Common Vulnerability Scoring System CVSS and AIMD Security metrics are required to provide a quantitative and objective basis for security operations. The quantitative and objective basis is needed to support decision making, quality assurance of Information Technology (IT) products, and the reliable maintenance of the information systems and its operations. There had been numerous ways of quantifying the security metrics of information system using Common Vulnerability Scoring System, version 2.0 (CVSS 2.0) of the products that make up the information system. Some of the approaches are the naive (average and maximum) approach, attack graph approach and Bayesian network (BN)-Based approach but this paper will introduce another way of finding the relative security metrics of information system based on the CVSS 2.0 score of the IT products that make up the system. This new approach is called Additive Increase and Multiplicative Decrease (AIMD) and this paper will also show how to use the AIMD algorithm to determine the security states and the security signature of the IT product. 2016-06-28 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1462278857 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1462278857 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Computer Science Security Metrics Additive Increase and Multiplicative Decrease AIMD algorithm Security Ranking Common Vulnerability Scoring System CVSS and AIMD |
| spellingShingle |
Computer Science Security Metrics Additive Increase and Multiplicative Decrease AIMD algorithm Security Ranking Common Vulnerability Scoring System CVSS and AIMD Owusu-Kesseh, Daniel The Relative Security Metric of Information Systems: Using AIMD Algorithms |
| author |
Owusu-Kesseh, Daniel |
| author_facet |
Owusu-Kesseh, Daniel |
| author_sort |
Owusu-Kesseh, Daniel |
| title |
The Relative Security Metric of Information Systems: Using AIMD Algorithms |
| title_short |
The Relative Security Metric of Information Systems: Using AIMD Algorithms |
| title_full |
The Relative Security Metric of Information Systems: Using AIMD Algorithms |
| title_fullStr |
The Relative Security Metric of Information Systems: Using AIMD Algorithms |
| title_full_unstemmed |
The Relative Security Metric of Information Systems: Using AIMD Algorithms |
| title_sort |
relative security metric of information systems: using aimd algorithms |
| publisher |
University of Cincinnati / OhioLINK |
| publishDate |
2016 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1462278857 |
| work_keys_str_mv |
AT owusukessehdaniel therelativesecuritymetricofinformationsystemsusingaimdalgorithms AT owusukessehdaniel relativesecuritymetricofinformationsystemsusingaimdalgorithms |
| _version_ |
1719440301715619840 |