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finalThesisPengfei Peng.pdf (741.03 KB)
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SMARTMON: MONITORING SMART DEVICE STATUS THROUGH NETWORK TRAFFIC
Author Info
Peng, Pengfei
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case15928357065871
Abstract Details
Year and Degree
2020, Master of Sciences, Case Western Reserve University, EECS - Computer and Information Sciences.
Abstract
The rapid expansion of Internet of Things (IoT) has brought unprecedented changes to our daily life. Among all, smart home technologies are the most widely adopted. They leverage various devices in home environment to build a connected network, over which automation is implemented for enhancing device interoperability. Such automations usually execute on platforms that are provided by device vendors, such as Samgsung, Google and Amazon. However, back-end cloud may not always be trustworthy due to malware, unknown third-party applications and possible side-channel attacks. Specifically for the IoT platforms, we identify two security threats that may gain unauthorized control of smart home devices: over privilege issue and spooking events. In this thesis, we presents SmartMon, a framework that is designed to detect such security violations by statically analyzing automation application (SmartApp) control logic and comparing them with dynamic execution patterns. Through evaluations, we demonstrate that SmartMon could achieve high precision (> 95%) in detecting both violations. We also evaluate its detection capability in more complex settings, where multiple SmartApps execute simultaneously, resulting in potential dependencies. The evaluation results show that SmartMon remains high accuracy in this scenario as well.
Committee
An Wang (Advisor)
Pan Li (Committee Member)
Shuai Xu (Committee Member)
Pages
65 p.
Subject Headings
Computer Science
Keywords
IoT, SmartApp, Misbehavior, Machine Learning
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Citations
Peng, P. (2020).
SMARTMON: MONITORING SMART DEVICE STATUS THROUGH NETWORK TRAFFIC
[Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case15928357065871
APA Style (7th edition)
Peng, Pengfei.
SMARTMON: MONITORING SMART DEVICE STATUS THROUGH NETWORK TRAFFIC.
2020. Case Western Reserve University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case15928357065871.
MLA Style (8th edition)
Peng, Pengfei. "SMARTMON: MONITORING SMART DEVICE STATUS THROUGH NETWORK TRAFFIC." Master's thesis, Case Western Reserve University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case15928357065871
Chicago Manual of Style (17th edition)
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Document number:
case15928357065871
Download Count:
535
Copyright Info
© 2020, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.