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On the Security and Data Integrity of Low-Cost Sensor Networks for Air Quality Monitoring.
Luo, Lan; Zhang, Yue; Pearson, Bryan; Ling, Zhen; Yu, Haofei; Fu, Xinwen.
Afiliação
  • Luo L; Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA. lukachan@knights.ucf.edu.
  • Zhang Y; College of Information Science and Technology, Jinan University, Guangzhou 510632, China. zyueinfosec@gmail.com.
  • Pearson B; Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA. bpearson@knights.ucf.edu.
  • Ling Z; School of Computer Science and Engineering, Southeast University, Nanjing 211189, China. zhenling@seu.edu.cn.
  • Yu H; Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Haofei.Yu@ucf.edu.
  • Fu X; Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA. xinwenfu@ucf.edu.
Sensors (Basel) ; 18(12)2018 Dec 16.
Article em En | MEDLINE | ID: mdl-30558353
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2018 Tipo de documento: Article