Soteria: Automated IoT Safety and Security Analysis

• DOI: 10.48550/arxiv.1805.08876
• Publication Date: 2018-01-01
• Authors: Celik, Z. Berkay; McDaniel, Patrick; Tan, Gang
• Keywords: FOS: Computer and information sciences; Computer Science - Cryptography and Security; 0202 electrical engineering, electronic engineering, information engineering; FOS: Electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Systems and Control (eess.SY); Electrical Engineering and Systems Science - Systems and Control; Cryptography and Security (cs.CR)

Accepted to the USENIX Annual Technical Conference (USENIX ATC), 2018<br/>Broadly defined as the Internet of Things (IoT), the growth of commodity devices that integrate physical processes with digital systems have changed the way we live, play and work. Yet existing IoT platforms cannot evaluate whether an IoT app or environment is safe, secure, and operates correctly. In this paper, we present Soteria, a static analysis system for validating whether an IoT app or IoT environment (collection of apps working in concert) adheres to identified safety, security, and functional properties. Soteria operates in three phases; (a) translation of platform-specific IoT source code into an intermediate representation (IR), (b) extracting a state model from the IR, (c) applying model checking to verify desired properties. We evaluate Soteria on 65 SmartThings market apps through 35 properties and find nine (14%) individual apps violate ten (29%) properties. Further, our study of combined app environments uncovered eleven property violations not exhibited in the isolated apps. Lastly, we demonstrate Soteria on MalIoT, a novel open-source test suite containing 17 apps with 20 unique violations.<br/>