Browsing UWEC Office of Research and Sponsored Programs by Author "Vanamala, Mounika"
Now showing items 1-6 of 6
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Analysis of Gait Motion Sensor Authentication with Machine Learning
Kokal, Sara (2024-04)In recent decades, mobile devices have evolved in potential and prevalence significantly while advancements in security have stagnated. As smartphones now hold unprecedented amounts of sensitive data, there is an increasing ... -
Detecting Stuttering Types Using Deep Learning
Mau, Brayden (2024-04)Stuttering, recognized as a prevalent speech disfluency, presents considerable challenges in achieving accurate identification. Notably, technological advancements, such as Apple’s Siri, highlight the complexities encountered ... -
Detecting Stuttering Types using Deep Learning
Mau, Brayden (2025-04)This website was developed as an educational tool to train students in accurately identifying different types of stuttering. The platform provides audio samples, allowing users to practice distinguishing between various ... -
Exploring Machine Learning Models : For IoT Network Intrusion Detection : A Literature Review and Comparative Analysis
Hagen, Jack; Strate, Ayden (2024-04)The Internet of Things (IoT) is a complex network of low-powered interconnected devices that communicate and exchange data over the internet. IoT devices are a popular target for cybercriminals because of the user data ... -
Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications : AIMS (Artificial Intelligence, Machine Learning, and Security) Research Group
Lasky, Nicholas; Hallis, Benjamin (2022-04)As cyber-attacks increase in volume and sophistication, the current state of cybersecurity solutions is inadequate. According to Red Canary, Advanced Persistent Threat (APT) attacks have increased from approximately 500 ... -
PICARD: Phishing Intelligence Corpus for Artificial Intelligence Research and Defense : A Massive Approach to Informing Artificial Intelligence Phishing Defenses
Hagen, Jack; Stoltenburg, Jacob (2025-04)The emergence of generative artificial intelligence (AI) has facilitated the creation of targeted, mass-produced, and highly effective phishing messages with unprecedented ease. Unlike previous methods, attackers no longer ...