Title
Secure IoT Data Analytics in Cloud via Intel SGX
Abstract
The growing adoption of IoT devices in our daily life is engendering a data deluge, mostly private information that needs careful maintenance and secure storage system to ensure data integrity and protection. Also, the prodigious IoT ecosystem has provided users with opportunities to automate systems by interconnecting their devices and other services with rule-based programs. The cloud services that are used to store and process sensitive IoT data turn out to be vulnerable to outside threats. Hence, sensitive IoT data and rule-based programs need to be protected against cyberattacks. To address this important challenge, in this paper, we propose a framework to maintain confidentiality and integrity of IoT data and rule-based program execution. We design the framework to preserve data privacy utilizing Trusted Execution Environment (TEE) such as Intel SGX, and end-to-end data encryption mechanism. We evaluate the framework by executing rule-based programs in the SGX securely with both simulated and real IoT device data.
Year
DOI
Venue
2020
10.1109/CLOUD49709.2020.00020
2020 IEEE 13th International Conference on Cloud Computing (CLOUD)
Keywords
DocType
ISSN
IoT,Intel SGX,Data privacy,Rule-based IoT Platform
Conference
2159-6182
ISBN
Citations 
PageRank 
978-1-7281-8781-5
0
0.34
References 
Authors
29
4
Name
Order
Citations
PageRank
Md Shihabul Islam100.34
Mustafa Safa Ozdayi221.40
Latifur Khan32323178.68
Murat Kantarcioglu42470168.03