Computer Science Department , PhD Dissertation Defense, Alan Ritacco " How's My Network - Incentives and Impediments of Home Network Measurements"

Friday, December 06, 2019
10:00 am to 11:00 am
Floor/Room #: 
Taylor Room

 

 
 

How's My Network - Incentives and Impediments of Home Network Measurements 

Alan W. Ritacco
PhD Candidate
WPI – Computer Science

 

Friday, December 6, 2019
Time: 10:00 a.m.  – 11:00  a.m.
Location: Taylor Room/ Campus Center
 

Committee Members:

Advisor: Prof. Craig Wills, WPI – Computer Science
Prof. Emmanuel Agu, WPI – Computer Science
Prof. Mark Claypool, WPI – Computer Science
Prof. Radim Bartos , External member, University of New Hampshire
 

Abstract:

Gathering meaningful information from Home Networking (HN) environments has presented researchers with measurement strategy challenges.  A measurement platform is typically designed around the process of gathering data from a range of devices or usage statistics in a network that are specifically behind the HN firewall.  

HN studies require a fine balance between incentives and impediments to promote usage and minimize efforts for user participation with the focus on gathering robust datasets and results. In this dissertation we explore how to gather data from the HN Ecosystem (e.g. devices, apps, permissions, configurations) and feedback from HN users across a multitude of HN infrastructures, leveraging low impediment and low/high incentive methods to entice user participation.  

We look to understand the trade-offs of using a variety of approach types (e.g. Java, Mobile app, survey) for data collections, user preferences, and how HN users react and make changes to the HN environment when presented with privacy/security concerns, norms of comparisons (e.g. comparisons to the local environment and to other HNs) and other HN results.  We show that the HN Ecosystem is more than just “the network”, it also includes a combination of both devices and apps within the HN Ecosystem.