Security Analysis for SmartThings IoT Applications

被引：0

作者：

Schmeidl, Florian ^{[1
]}

Nazzal, Bara' ^{[1
]}

Alalfi, Manar H. ^{[1
]}

机构：

[1] Ryerson Univ, Dept Comp Sci, Toronto, ON, Canada

来源：

2019 IEEE/ACM 6TH INTERNATIONAL CONFERENCE ON MOBILE SOFTWARE ENGINEERING AND SYSTEMS (MOBILESOFT 2019) | 2019年

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper presents a fully automated static analysis approach and a tool, Taint-Things, for the identification of tainted flows in SmartThings IoT apps. Taint-Things accurately identified all tainted flows reported by one of the state-of the-art tools with at least 4 times improved performance. In addition, our approach reports potential vulnerable tainted flow in a form of a concise security slice, which could provide security auditors with an effective and precise tool to pinpoint security issues in SmartThings apps under test.

引用

页码：25 / 29

页数：5

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