Graduation Year

2016

Document Type

Thesis

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

Yicheng Tu, Ph.D.

Committee Member

Jay Ligatti, Ph.D.

Keywords

Security, Accelerometer, Gravity, Authentication, Automation

Abstract

Internet of Things, has started to mark its existence from past few years. Right from its inception with a coke machine at Carnegie Mellon University, it has come a long way, connecting billions of devices to internet. This journey is well supported by the advancements in networking, hardware miniaturization and sensing capabilities. Diverse nature of applications of Internet of Things, has cut the communication barriers between the varieties of fields ranging from manufacturing industry to health-care industry. Smart Home is one such application of Internet of Things. Connectivity of home appliances, to achieve automation in living, defines Smart Home. Out of welter of applications that are derived from Internet of Things, this thesis concentrates on Smart Home. Smart Home, in practical is expected to conserve lot of energy, by achieving automation of home appliances, on par with best living experience. 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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