Graceful Degradation in IoT Security

As the consumer grade IoT devices industry advances, personal privacy is constantly eroded for the sake of convenience. Current security solutions, although available, ignore convenience by requiring the purchase of additional hardware, implementing confusing, out of scope updates for a non-technical user, or quarantining a device, rendering it useless. This paper proposes a solution that simultaneously maintains convenience and privacy, tailored for the Internet of Things. We propose a novel graceful degradation technique which targets individual device functionalities for acceptance or denial at the network level. When combined with current anomaly detection and fingerprinting methods, graceful degradation provides a personalized IoT security solution for the modern user

Investigating Metropolitan Traffic Congestion in Albuquerque

Our project aimed to assist the New Mexico Department of Transportation in assessing Albuquerque congestion data. The team’s analysis will be used to support an application for a one-million-dollar federal grant that will be used to work on roadway infrastructure and communication between the agencies that focus on roadway safety. We researched incident hotspots on I-25 and I-40 and then compared pre- and post-crash surface road conditions in order to understand how highway incidents affect surface congestion for the NMDOT. The end result of our project included a written report summarizing our findings as well as visuals that were presented to representatives of the NMDOT, Albuquerque Traffic Management, MRCOG, and the NMDOT ITS Bureau