Towards automated privacy risk assessments in IoT systems

被引：7

作者：

Markovic, Milan ^{[1
]}

Asif, Waciar ^{[2
]}

Corsar, David ^{[1
]}

Jacobs, Naomi ^{[1
]}

Edwards, Peter ^{[1
]}

Rajarajan, Muttukrishnan ^{[2
]}

Cottrill, Caitlin ^{[1
]}

机构：

[1] Univ Aberdeen, Aberdeen, Scotland

[2] City Univ London, London, England

来源：

PROCEEDINGS OF THE 2018 WORKSHOP ON MIDDLEWARE AND APPLICATIONS FOR THE INTERNET OF THINGS (M4IOT '18) | 2018年

基金：

英国工程与自然科学研究理事会;

关键词：

Internet of Things; Privacy Risk; Provenance; Linked Data;

D O I：

10.1145/3286719.3286723

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Internet of Things (IoT) systems can often pose risk to users' privacy via disclosure of personal information to third parties. In this paper, we argue that to assess privacy risks associated with IoT systems, an automated solution is required due to the increasing pervasiveness and complexity of deployed IoT systems. We propose requirements for an automated privacy risk assessment service and outline our future plans for realising such a solution.

引用

页码：15 / 18

页数：4

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