Ontology Based Security Threat Assessment and Mitigation for Cloud Systems Page: 85
xii, 155 pagesView a full description of this dissertation.
Extracted Text
The following text was automatically extracted from the image on this page using optical character recognition software:
Number of Mean Relative Coefficient of
Desired Features Absolute Error Absolute Error Determination
5 7.995 0.618 0.597
10 3.341 0.258 0.927
15 3.347 0.258 0.926
25 3.780 0.292 0.917
40 3.985 0.308 0.912
65 3.851 0.297 0.916
80 3.597 0.278 0.918
95 3.597 0.278 0.918
TABLE 4.2. Using our Labeled OpenSSL Dataset to Evaluate its Boosted
Decision Tree Regression Model
Known Predicted
OpenSSL Releases
#Vulnerabilities #Vulnerabilities
cpe:/a:openssl:openssl:0.9.8s 22 17.139
cpe:/a:openssl:openssl:1.0.lf 53 41.747
cpe:/a:openssl:openssl:0.9.7g 35 30.823
cpe:/a:openssl:openssl:1.0.1g 52 43.777
cpe:/a:openssl:openssl:0.9.6m 30 37.448
TABLE 4.3. Sample of Scored OpenSSL Instancesscore against our validation dataset.
" Mean Absolute Error : 2.927
" Root Mean Squared Error : 4.068
" Relative Absolute Error : 0.203
" Relative Squared Error :0.05985
Upcoming Pages
Here’s what’s next.
Search Inside
This dissertation can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Dissertation.
Kamongi, Patrick. Ontology Based Security Threat Assessment and Mitigation for Cloud Systems, dissertation, December 2018; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc1404576/m1/98/: accessed July 17, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .