Document Type
Dissertation
Degree
Doctor of Philosophy (PhD)
Major/Program
Electrical and Computer Engineering
First Advisor's Name
Dr. A. Selcuk Uluagac
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Dr. Kemal Akkaya
Second Advisor's Committee Title
Committee Member
Third Advisor's Name
Dr. Alexander Perez-Pons
Third Advisor's Committee Title
Committee Member
Fourth Advisor's Name
Dr. Leonardo Bobadilla
Fourth Advisor's Committee Title
Committee Member
Keywords
Cybersecurity, Internet of Things, Cyber-Physical Systems, Industrial IoT, resource-limited devices
Date of Defense
3-23-2020
Abstract
This doctoral dissertation introduces novel mechanisms to provide on-device security and privacy for resource-limited smart devices and their applications. These mechanisms aim to cover five fundamental contributions in the emerging Cyber-Physical Systems (CPS), Internet of Things (IoT), and Industrial IoT (IIoT) fields. First, we present a host-based fingerprinting solution for device identification that is complementary to other security services like device authentication and access control. Then, we design a kernel- and user-level detection framework that aims to discover compromised resource-limited devices based on behavioral analysis. Further we apply dynamic analysis of smart devices’ applications to uncover security and privacy risks in real-time. Then, we describe a solution to enable digital forensics analysis on data extracted from interconnected resource-limited devices that form a smart environment. Finally, we offer to researchers from industry and academia a collection of benchmark solutions for the evaluation of the discussed security mechanisms on different smart domains. For each contribution, this dissertation comprises specific novel tools and techniques that can be applied either independently or combined to enable a broader security services for the CPS, IoT, and IIoT domains.
Identifier
FIDC008908
ORCID
0000-0002-7082-8423
Recommended Citation
Babun, Leonardo, "On-device Security and Privacy Mechanisms for Resource-limited Devices: A Bottom-up Approach" (2020). FIU Electronic Theses and Dissertations. 4431.
https://digitalcommons.fiu.edu/etd/4431
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