On The Security And Data Integrity Of Low-Cost Sensor Networks For Air Quality Monitoring
Keywords
Air quality monitoring; Data integrity; IoT; Low-cost sensor; MITM
Abstract
The emerging connected, low-cost, and easy-to-use air quality monitoring systems have enabled a paradigm shift in the field of air pollution monitoring. These systems are increasingly being used by local government and non-profit organizations to inform the public, and to support decision making related to air quality. However, data integrity and system security are rarely considered during the design and deployment of such monitoring systems, and such ignorance leaves tremendous room for undesired and damaging cyber intrusions. The collected measurement data, if polluted, could misinform the public and mislead policy makers. In this paper, we demonstrate such issues by using a.com, a popular low-cost air quality monitoring system that provides an affordable and continuous air quality monitoring capability to broad communities. To protect the air quality monitoring network under this investigation, we denote the company of interest as a.com. Through a series of probing, we are able to identify multiple security vulnerabilities in the system, including unencrypted message communication, incompetent authentication mechanisms, and lack of data integrity verification. By exploiting these vulnerabilities, we have the ability of "impersonating" any victim sensor in the a.com system and polluting its data using fabricated data. To the best of our knowledge, this is the first security analysis of low-cost and connected air quality monitoring systems. Our results highlight the urgent need in improving the security and data integrity design in these systems.
Publication Date
12-1-2018
Publication Title
Sensors (Switzerland)
Volume
18
Issue
12
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3390/s18124451
Copyright Status
Unknown
Socpus ID
85058634465 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85058634465
STARS Citation
Luo, Lan; Zhang, Yue; Pearson, Bryan; Ling, Zhen; and Yu, Haofei, "On The Security And Data Integrity Of Low-Cost Sensor Networks For Air Quality Monitoring" (2018). Scopus Export 2015-2019. 7358.
https://stars.library.ucf.edu/scopus2015/7358