Outlier detection technique for IoT sensor-driven big data systems

Sunho Seo, Jong Moon Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the development of big data analysis technologies and the utilization of sensor data through Internet of Things (IoT) and wireless sensor networks (WSNs), users can easily analyze and use huge amounts of data. However, occasional sensor errors can lead to failures in maintaining optimum conditions, and also smart systems without user intervention are likely to be vulnerable to intrusions via external networks. Therefore, in this paper, a method to maintain the optimal state is proposed even when the sensor network fails due to sensor failure or external intrusion in big data systems.

Original languageEnglish
Title of host publicationICEIC 2019 - International Conference on Electronics, Information, and Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788995004449
DOIs
Publication statusPublished - 2019 May 3
Event18th International Conference on Electronics, Information, and Communication, ICEIC 2019 - Auckland, New Zealand
Duration: 2019 Jan 222019 Jan 25

Publication series

NameICEIC 2019 - International Conference on Electronics, Information, and Communication

Conference

Conference18th International Conference on Electronics, Information, and Communication, ICEIC 2019
CountryNew Zealand
CityAuckland
Period19/1/2219/1/25

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Seo, S., & Chung, J. M. (2019). Outlier detection technique for IoT sensor-driven big data systems. In ICEIC 2019 - International Conference on Electronics, Information, and Communication [8706466] (ICEIC 2019 - International Conference on Electronics, Information, and Communication). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2019.8706466