Master of Science (MS)
Multi-approach Masquerade Detection, Mobile
A masquerade is an attack where the attacker avoids detection by impersonating an authorized user of a system. In this research we consider the problem of masquerade detection on mobile devices. Our goal is to improve on previous work by considering more features and a wide variety of machine learning techniques. Our approach consists of verifying the authenticity of users based on individual features and combinations of features for all users to determine which features contribute the most to masquerade detection. Also, we determine which of the two approaches - the combination of features or using individual features has performed better.
Manikoth, Swathi Nambiar Kadala, "Masquerade Detection on Mobile Devices" (2017). Master's Projects. 550.