Research Areas
Biography and Research Information
OverviewAI-generated summary
Kyler Dickey's research focuses on the application of machine learning techniques for cybersecurity, specifically in the detection of Android malware. This work involves analyzing and comparing various machine learning approaches to identify potential threats within mobile operating systems.
Dickey has a publication in this area, "Analyzing Various Machine Learning Approaches for Detecting Android Malware," released in 2024. His scholarship metrics include an h-index of 1 and a total of 1 publication with 1 citation. He has collaborated with Donghoon Kim from Arkansas State University, co-authoring one shared publication.
Metrics
- h-index: 1
- Publications: 1
- Citations: 1
Selected Publications
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Analyzing Various Machine Learning Approaches for Detecting Android Malware (2024)
Collaboration Network
Top Collaborators
- Analyzing Various Machine Learning Approaches for Detecting Android Malware
- Analyzing Various Machine Learning Approaches for Detecting Android Malware
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