Faculty Advisor

Shue, Craig A.

Faculty Advisor

DeCarli, Lorenzo

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

2019-12-12

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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