Title

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

Socpus ID

85058634465 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85058634465

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