Electronic Theses and Dissertations

Identifier

6090

Author

Lei Pi

Date

2017

Date of Award

12-4-2017

Document Type

Thesis

Degree Name

Master of Science

Major

Computer Science

Concentration

Cyber Security

Committee Chair

Lan Wang

Committee Member

Dipankar Dasgupta

Committee Member

Scott Fleming

Abstract

Smart home systems utilize network-enabled sensors to collect environmental data and provide various services to home residents. Such a system must be designed with security mechanisms to protect the safety and privacy of the residents. More specifically, we need to secure the production, dissemination, and consumption of smart home data, as well as prevent any unauthorized access to the services provided by the system. In this work, we study how to build a secure smart home system in the context of Named Data Networking, a future Internet architecture that has unique advantages in securing Internet of Things. We focus on solving two security problems: (a) mutual authentication between a new device and an existing smart home system to bootstrap the device, and (b) controlling access to smart home data. We designed a naming hierarchy for a smart home system and the corresponding trust model. Based on the naming and trust model, we designed bootstrapping protocols which enforce mutual cryptographic challenges, and a programming template which facilitates Name-based Access Control. We have designed and implemented an application that incorporates these solutions. Evaluation result shows: (a) the bootstrapping protocols can defend against replay attacks with a small computation overhead, and (b) Name-Based Access Control can provide accurate time schedules to restrict access to fine-grained data types with a small computation overhead.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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