Now showing items 1-5 of 5
Continuous, Dynamic User Authentication Using Mobile Touch Dynamics Based on Machine Learning
Modern user authentication measures on mobile devices often include biometric authentication (facial and fingerprint), multi-factor authentication, and password entry as ways of authenticating users. These authentication ...
A Bibliographic Overview of Colorectal Cancer Detection and Prevention Using Machine Learning Techniques
The idea of using machine learning techniques to identify colorectal cancer is a relatively new one, with most of the research being done in the last ten years. To determine the current state of research in this field, an ...
A Deep Learning Model for Pancreatic Ductal Adenocarcinoma Chemotherapy Outcome Prediction
Pancreatic Ductal Adenocarcinoma (PDAC) is an aggressive abdominal malignancy, with an overall 8.5% 5-year survival rate. PDAC is often detected too late for surgical resection and associated with resistance to chemotherapy ...
Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication
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 ...
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
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 ...