THESIS
2019
xviii, 147 pages : illustrations ; 30 cm
Abstract
The Internet of Things (IoT) has quickly moved from hype to reality. Like other disruptive
technologies, IoT holds the potential for societal scale impact by transforming many industries as
well as our daily lives. IoT would benefit the world significantly if the generated data from them
can be shared securely and efficiently.
In this thesis, we mainly focus on the following topics:
1. Lightweight indoor localization. Indoor localization is a promising application in IoT scenario.
Current visible light positioning system suffers the problem of overhead. We first
propose a visible light positioning system using polarization modulation. Our system can
work with non-intelligent light other than general LED and achieves high localization accuracy
with low-end smartphones. We also d...[
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The Internet of Things (IoT) has quickly moved from hype to reality. Like other disruptive
technologies, IoT holds the potential for societal scale impact by transforming many industries as
well as our daily lives. IoT would benefit the world significantly if the generated data from them
can be shared securely and efficiently.
In this thesis, we mainly focus on the following topics:
1. Lightweight indoor localization. Indoor localization is a promising application in IoT scenario.
Current visible light positioning system suffers the problem of overhead. We first
propose a visible light positioning system using polarization modulation. Our system can
work with non-intelligent light other than general LED and achieves high localization accuracy
with low-end smartphones. We also design another visible light positioning system
with an ambient light sensor which leverages the property of frequency aliasing and dynamic
frequency adjustment. Since the power of the ambient light sensor is very low, it can
enable indoor location inside a smartwatch or other low power wearables.
2. Secure authentication of IoT devices. We discover a vulnerability in one popular home automation
brand related to the authentication procedure of IoT devices. Based on this study,
we propose a proximity-based authentication mechanism for smartphones to authenticate
IoT devices which combines large RSS-variation detection and matching between RSS-trace
and smartphone’s sensor-trace, to perform reliable proximity detection.
3. Scalability, security, and performance of blockchain. The blockchain is a promising approach
to make IoT data more valuable. However, current blockchain schemes are lack of scalability and face the problem of security. To handle this problem, we propose a reputation-based
secure, high incentive and fast blockchain system to handle the problem of scalability
and security. In this work, we leverage a Raft-based synchronous consensus protocol and
a double-chain architecture to guarantee its performance and security. After that, we also
investigate the selfish behavior in the blockchain system which may limit the system performance.
We propose a reputation blockchain scheme that can be deployed on gossip-based
non-PoW blockchain systems to solve the problem of selfish behavior. In this work, we design
a two-steps gossip protocol with a robust reputation calculation scheme to achieve global
consensus on every node’s reputation score efficiently and securely.
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