17 citations · 33 across the 5 of their papers we have counts for
5 papers
Latent Semantic Structure in Malicious Programs
John Musgrave, Temesguen Messay-Kebede, David Kapp +1
Latent Semantic Analysis is a method of matrix decomposition used for discovering topics and topic weights in natural language documents. This study uses Latent Semantic Analysis t…
A Novel Feature Representation for Malware Classification
John Musgrave, Temesguen Messay-Kebede, David Kapp +1
In this study we have presented a novel feature representation for malicious programs that can be used for malware classification. We have shown how to construct the features in a…
Empirical Network Structure of Malicious Programs
John Musgrave, Alina Campan, Temesguen Messay-Kebede +2
A modern binary executable is a composition of various networks. Control flow graphs are commonly used to represent an executable program in labeled datasets used for classificatio…
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features
Redha Ali, Russell C. Hardie, Manawaduge Supun De Silva +1
This short report describes our submission to the ISIC 2018 Challenge in Skin Lesion Analysis Towards Melanoma Detection for Task1 and Task 3. This work has been accomplished by a…
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features
Russell C. Hardie, Redha Ali, Manawaduge Supun De Silva +1
This paper provides the required description of the methods used to obtain submitted results for Task1 and Task 3 of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection. The…