Kyler Dickey
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Kyler Dickey, a graduate student at Arkansas State University, focuses on the application of machine learning techniques for cybersecurity. Their recent publication, "Analyzing Various Machine Learning Approaches for Detecting Android Malware," published in 2024, investigates different algorithms for identifying malicious software on Android devices. This work contributes to the field of network security and intrusion detection. Dickey has one publication and one citation, with an h-index of 1, indicating early-stage research activity. Their key collaborator is Donghoon Kim from Arkansas State University, with whom they have co-authored one 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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