A Behavioral Model System for Implicit Mobile Authentication

Smartphones are increasingly essential to users’ everyday lives. Security concerns of data compromises are growing, and explicit authentication methods are proving to be inconvenient and insufficient. Meanwhile, users demand quicker and more secure authentication. To address this, a user can be authenticated continuously and implicitly, through understanding consistency in their behavior. This research project develops a Behavioral Model System (BMS) that records users’ behavioral metrics on an Android device and sends them to a server to develop a behavioral model for the user. Once a strong model is generated with TensorFlow, a user’s most recent behavior is queried against the model to authenticate them. The model is tested across its metrics to evaluate the reliability of BMS

Promoting and Teaching Entrepreneurship in Albania through Business Camps

Young people of Albania suffer from severe unemployment, causing many technically trained students to emigrate to other countries for better opportunities. This project, sponsored by Partners Albania for Change and Development, focused on the creation of business camps to promote entrepreneurship among vocational students. The creation of innovative businesses by these students will help to spur local economic growth and reduce the unemployment rate. Through multiple interviews, the camp curriculum was tailored to match the economic climate of Albania. These camps were extremely effective at teaching entrepreneurial ideas, with the students showing notable improvements in their understanding of business fundamentals