Security Risk Measurement for Information Leakage in IoT-Based Smart Homes from a Situational Awareness Perspective

Internet-of-Things (IoT) is a technology that is extensively being used in various fields. Companies like Samsung, LG, and Apple are launching home appliances that use IoT as a part of their smart home business. Currently, Intelligent Things which combine artificial intelligence (AI) and IoT are bei...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2019-05, Vol.19 (9), p.2148
Main Authors: Park, Mookyu, Oh, Haengrok, Lee, Kyungho
Format: Article
Language:English
Subjects:
Access control
Big Data
cyber-situational awareness
Data integrity
Household appliances
Human behavior
Human motion
Identity theft
Intelligence
International conferences
Internet
Internet of Things
Internet of Things (IoT)
Keyboards
Leakage
Personal information
Privacy
Radio frequency identification
risk measurement
Sensors
Situational awareness
Smart buildings
smart homes
Smart houses
Smartphones
Threats
Wireless networks
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Summary:Internet-of-Things (IoT) is a technology that is extensively being used in various fields. Companies like Samsung, LG, and Apple are launching home appliances that use IoT as a part of their smart home business. Currently, Intelligent Things which combine artificial intelligence (AI) and IoT are being developed. Most of these devices are configured to collect and respond to human behavior (motion, voice, etc.) through built-in sensors. If IoT devices do not ensure high security, personal information could be leaked. This paper describes the IoT security threats that can cause information leakage from a hierarchical viewpoint of cyberspace. In addition, because these smart home-based IoT devices are closely related to human life, considering social damage is a problem. To overcome this, we propose a framework to measure the risk of IoT devices based on security scenarios that can occur in a smart home.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19092148