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Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication
(2022)
Today’s research finds that behavioral biometrics, a method that makes a decision based on the user’s behaviors, can provide a secure authentication method for mobile devices. This presentation will provide a review on the ...
Behavioral Biometrics Based User Authentication Schemes Using Machine Learning
(2022-04)
In recent years, the amount of secure information being stored on mobile devices has grown exponentially. However, current security schemas for mobile devices such as physiological biometrics and passwords are not secure ...
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
(2022-04)
Static authentication methods, like passwords and PINs, authenticate a user once and only once. Continually authenticating a user even after initial access can drastically increase account security against imposters. Unique ...
Using Deep Transfer Learning for Unsupervised Image Segmentation in Remote Sensing
(2022-04)
As multispectral image resolution has increased, generating accurate segmentation of these images can pose a significant challenge. Furthermore, creating accurate labeled data requires hours of manual segmentation. One ...
Using Machine Learning to Analyze and Classify Echocardiogram Results
(2022-04)
Heart arrhythmias can be difficult to diagnosis simply from external observation, and many fail to present themselves through concerning symptoms until damage has been done to the heart and the rest of the body. One of the ...
Classification of Independent Medical Examination Reports Using Supervised Learning Methods
(2022-04)
An independent medical examination (IME) is requested by an insurance provider or self-insured employer to determine the extent of an injured worker’s disability, including if the injury or ailment is permanent or ...
Deep Learning Segmentation of Kidney Tissue Microarrays Using Infrared Spectral Imaging
(2022-04)
Renal function is an essential marker in the classification of renal disease and clinical symptoms of renal failure develop when there is 15% renal function. In this study, we used infrared spectroscopic (IR)
imaging to ...
Human Activity Recognition : Models Using Limited Consumer Device Sensors and Machine Learning Aims Research
(2022-04)
Human activity recognition has grown in popularity significantly with daily lifestyle or medical related applications. Data collection is limited to easily accessible devices: smartphones and smartwatches. Eliminate the ...
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
(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 ...
Identification of DNA Methylation Markers Using Feature Selection and Deep Learning
(2021-04)
Current tools used to gather DNA methylation data can now retrieve well over 850,000 unique methylation values per sample. As these datasets tend to be too large for a human to reasonably parse through by themselves, ...