Wednesday, September 2nd, 12-3pm, is Student Involvement Fest on the Quad, 12-3pm. The Shriver Center will be at the Department area, the purple area on the map, which is mid-field, to the right of the path that cuts across (see https://gallery.mailchimp.com/ce59a191183024d3965da3c9a/files/brochure_test5_BACK.pdf.)  

It was a pleasure seeing the MITRE leadership on campus. Our lab presented two posters during this visit: One analyzing data from the Centers for Medicare and Medicaid to predict utilization outcomes; and the other about achieving cybersecurity in multi-institutional healthcare environments. We look forward to seeing tighter cooperation and collaboration between our two institutions.

We are pleased to hear that a paper we submitted to WHITE 2015, The 6th Annual Workshop on Health IT and Economics (WHITE 2015), was accepted. The authors are are Koru, Parameshwarappa, and AlHuwail. The paper talks about leveraging data analytics to improve home care processes and utilization outcomes. Happy to hear the news and we look forward to the conference. We also express our gratitude to WHITE 2015 leadership. They built a strong scientific community since their first meeting in 2010.

Wenjia Li, Anupam Joshi and Tim Finin, SVM-CASE: An SVM-based Context Aware Security Framework for Vehicular Ad-hoc Networks, IEEE 82nd Vehicular Technology Conf., Boston, Sept. 2015.

Vehicular Ad-hoc Networks (VANETs) are known to be very susceptible to various malicious attacks. To detect and mitigate these malicious attacks, many security mechanisms have been studied for VANETs. In this paper, we propose a context aware security framework for VANETs that uses the Support Vector Machine (SVM) algorithm to automatically determine the boundary between malicious nodes and normal ones. Compared to the existing security solutions for VANETs, The proposed framework is more resilient to context changes that are common in VANETs, such as those due to malicious nodes altering their attack patterns over time or rapid changes in environmental factors, such as the motion speed and transmission range. We compare our framework to existing approaches and present evaluation results obtained from simulation studies.