Outlier detection technique for IoT sensor-driven big data systems

Sunho Seo; Jong Moon Chung

doi:10.23919/ELINFOCOM.2019.8706466

Outlier detection technique for IoT sensor-driven big data systems

Sunho Seo, Jong Moon Chung

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	ICEIC 2019 - International Conference on Electronics, Information, and Communication
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788995004449
DOIs	https://doi.org/10.23919/ELINFOCOM.2019.8706466
Publication status	Published - 2019 May 3
Event	18th International Conference on Electronics, Information, and Communication, ICEIC 2019 - Auckland, New Zealand Duration: 2019 Jan 22 → 2019 Jan 25

Publication series

Name	ICEIC 2019 - International Conference on Electronics, Information, and Communication

Conference

Conference	18th International Conference on Electronics, Information, and Communication, ICEIC 2019
Country/Territory	New Zealand
City	Auckland
Period	19/1/22 → 19/1/25

Bibliographical note

Publisher Copyright:
© 2019 Institute of Electronics and Information Engineers (IEIE).

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.23919/ELINFOCOM.2019.8706466

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 Article 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

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title = "Outlier detection technique for IoT sensor-driven big data systems",

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.",

author = "Sunho Seo and Chung, {Jong Moon}",

note = "Publisher Copyright: {\textcopyright} 2019 Institute of Electronics and Information Engineers (IEIE).; 18th International Conference on Electronics, Information, and Communication, ICEIC 2019 ; Conference date: 22-01-2019 Through 25-01-2019",

year = "2019",

month = may,

day = "3",

doi = "10.23919/ELINFOCOM.2019.8706466",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICEIC 2019 - International Conference on Electronics, Information, and Communication",

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}

Seo, S & Chung, JM 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., 18th International Conference on Electronics, Information, and Communication, ICEIC 2019, Auckland, New Zealand, 19/1/22. https://doi.org/10.23919/ELINFOCOM.2019.8706466

Outlier detection technique for IoT sensor-driven big data systems. / Seo, Sunho; Chung, Jong Moon.
ICEIC 2019 - International Conference on Electronics, Information, and Communication. Institute of Electrical and Electronics Engineers Inc., 2019. 8706466 (ICEIC 2019 - International Conference on Electronics, Information, and Communication).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Outlier detection technique for IoT sensor-driven big data systems

AU - Seo, Sunho

AU - Chung, Jong Moon

PY - 2019/5/3

Y1 - 2019/5/3

N2 - 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.

AB - 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.

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DO - 10.23919/ELINFOCOM.2019.8706466

M3 - Conference contribution

AN - SCOPUS:85065891550

T3 - ICEIC 2019 - International Conference on Electronics, Information, and Communication

BT - ICEIC 2019 - International Conference on Electronics, Information, and Communication

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Electronics, Information, and Communication, ICEIC 2019

Y2 - 22 January 2019 through 25 January 2019

ER -

Outlier detection technique for IoT sensor-driven big data systems

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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