We are proud to announce a SPLICE team member’s successful M.S. thesis defense. Namya Malik’s thesis focuses on a general-purpose Wi-Fi architecture that underpins the SPLICEcube, a central controller that brings a home’s smart devices under secure management and a unified interface to help homeowners and residents track and manage their devices. This Wi-Fi architecture facilitates intelligent research applications (such as network anomaly detection, intrusion detection, device localization, and device firmware updates) to be integrated into the SPLICEcube. 

The SPLICEcube system consists of the following components: 1) a main cube, which is a centralized hub that incorporates and expands on the functionality of the home router, 2) a database that holds network data, and 3) a set of support cubelets that can be used to extend the range of the network and assist in gathering network data. The architecture specifically showcases the functionality of the cubelets (Wi-Fi frame detection, Wi-Fi frame parsing, and transmission to cube), the functionality of the cube (routing, reception from cubelets, information storage, data disposal, and research application integration), and the functionality of the database (network data storage).

To learn more, check out Namya Malik’s thesis below.

Malik, Namya, “SPLICEcube Architecture: An Extensible Wi-Fi Monitoring Architecture for Smart-Home Networks” (2022). Dartmouth College Master’s Theses. 50. 
https://digitalcommons.dartmouth.edu/masters_theses/50