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
收藏
页码：25 / 29
页数：5
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