Graduation Year

2016

Degree

M.S.C.S.

Degree Name

MS in Computer Science (M.S.C.S.)

Degree Granting Department

Engineering Computer Science

Major Professor

Yao Liu, Ph.D.

Committee Member

Jay Ligatti, Ph.D.

Committee Member

Yicheng Tu, Ph.D.

Keywords

Accelerometer, Authentication, Automation, Gravity, Security, Smart Home Appliances

Abstract

With advancements in sensor capabilities, miniaturization of sensors and advancements in networking, Internet of Things (IoT) has accelerated its penetration in to industry. Smart Home is one such application of Internet of Things. Existing technologies such as Z-wave, One-Net, ZigBee, Insteon, had already occupied the Smart Home communication. However, these technologies face the problem of identifying the smart devices uniquely and also exhibit security vulnerabilities. Proposed scheme exploits accelerometer fingerprinting to identify the smart devices uniquely. Security vulnerabilities of existing protocols are addressed by encrypting the data on move with CCM mode of AES encryption.

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