TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)

Industrial Cyber-physical System (ICPS) is utilized for monitoring critical events such as structural equipment conditions in industrial environments. Such a system can easily be a point of attraction for the cyberattackers, in addition to system faults, severe resource constraints (e.g., bandwidth...

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Main Authors:	Rahman, Md. Arafatur, Hai, Tao, Md Zakirul, Alam Bhuiyan, Wang, Tian, Wu, Jie, Sinan Q., Salih, Li, Yafeng, Hayajneh, Thaier
Format:	Article
Language:	English
Published:	IEEE 2020
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/26311/ http://umpir.ump.edu.my/id/eprint/26311/ http://umpir.ump.edu.my/id/eprint/26311/ http://umpir.ump.edu.my/id/eprint/26311/1/TrustData%20-%20Trustworthy%20and%20Secured%20Data%20Collection%20for%20Event%20Detection%20in%20Industrial%20Cyber-Physical%20System.pdf

id	ump-26311
recordtype	eprints
spelling	ump-263112019-12-24T09:09:12Z http://umpir.ump.edu.my/id/eprint/26311/ TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press) Rahman, Md. Arafatur Hai, Tao Md Zakirul, Alam Bhuiyan Wang, Tian Wu, Jie Sinan Q., Salih Li, Yafeng Hayajneh, Thaier QA75 Electronic computers. Computer science Industrial Cyber-physical System (ICPS) is utilized for monitoring critical events such as structural equipment conditions in industrial environments. Such a system can easily be a point of attraction for the cyberattackers, in addition to system faults, severe resource constraints (e.g., bandwidth and energy), and environmental problems. This makes data collection in the ICPS untrustworthy, even the data are altered after the data forwarding. Without validating this before data aggregation, detection of an event through the aggregation in the ICPS can be difficult. This paper introduces TrustData, a scheme for highquality data collection for event detection in the ICPS referred to as “Trustworthy and Secured Data Collection” scheme. It alleviates authentic data for accumulation at groups of sensor devices in the ICPS. Based on the application requirements, a reduced quantity of data is delivered to an upstream node, say, a cluster head. We consider this data might have sensitive information, which is vulnerable to being altered before/after transmission. The contribution of this paper is threefold. First, we provide the concept of TrustData to verify whether or not the acquired data is trustworthy (unaltered) before transmission, and whether or not the transmitted data is secured (data privacy is reserved) before aggregation. Second, we utilize a general measurement model that helps to verify acquired signal untrustworthy before transmitting towards upstream nodes. Finally, we provide an extensive performance analysis through real-world data set and our results prove the effectiveness of the TrustData. IEEE 2020 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26311/1/TrustData%20-%20Trustworthy%20and%20Secured%20Data%20Collection%20for%20Event%20Detection%20in%20Industrial%20Cyber-Physical%20System.pdf Rahman, Md. Arafatur and Hai, Tao and Md Zakirul, Alam Bhuiyan and Wang, Tian and Wu, Jie and Sinan Q., Salih and Li, Yafeng and Hayajneh, Thaier (2020) TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press). IEEE Transactions on Industrial Informatics. (In Press) https://doi.org/10.1109/TII.2019.2950192 DOI 10.1109/TII.2019.2950192
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Rahman, Md. Arafatur Hai, Tao Md Zakirul, Alam Bhuiyan Wang, Tian Wu, Jie Sinan Q., Salih Li, Yafeng Hayajneh, Thaier TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)
description	Industrial Cyber-physical System (ICPS) is utilized for monitoring critical events such as structural equipment conditions in industrial environments. Such a system can easily be a point of attraction for the cyberattackers, in addition to system faults, severe resource constraints (e.g., bandwidth and energy), and environmental problems. This makes data collection in the ICPS untrustworthy, even the data are altered after the data forwarding. Without validating this before data aggregation, detection of an event through the aggregation in the ICPS can be difficult. This paper introduces TrustData, a scheme for highquality data collection for event detection in the ICPS referred to as “Trustworthy and Secured Data Collection” scheme. It alleviates authentic data for accumulation at groups of sensor devices in the ICPS. Based on the application requirements, a reduced quantity of data is delivered to an upstream node, say, a cluster head. We consider this data might have sensitive information, which is vulnerable to being altered before/after transmission. The contribution of this paper is threefold. First, we provide the concept of TrustData to verify whether or not the acquired data is trustworthy (unaltered) before transmission, and whether or not the transmitted data is secured (data privacy is reserved) before aggregation. Second, we utilize a general measurement model that helps to verify acquired signal untrustworthy before transmitting towards upstream nodes. Finally, we provide an extensive performance analysis through real-world data set and our results prove the effectiveness of the TrustData.
format	Article
author	Rahman, Md. Arafatur Hai, Tao Md Zakirul, Alam Bhuiyan Wang, Tian Wu, Jie Sinan Q., Salih Li, Yafeng Hayajneh, Thaier
author_facet	Rahman, Md. Arafatur Hai, Tao Md Zakirul, Alam Bhuiyan Wang, Tian Wu, Jie Sinan Q., Salih Li, Yafeng Hayajneh, Thaier
author_sort	Rahman, Md. Arafatur
title	TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)
title_short	TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)
title_full	TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)
title_fullStr	TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)
title_full_unstemmed	TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)
title_sort	trustdata: trustworthy and secured data collection for event detection in industrial cyber-physical system (in press)
publisher	IEEE
publishDate	2020
url	http://umpir.ump.edu.my/id/eprint/26311/ http://umpir.ump.edu.my/id/eprint/26311/ http://umpir.ump.edu.my/id/eprint/26311/ http://umpir.ump.edu.my/id/eprint/26311/1/TrustData%20-%20Trustworthy%20and%20Secured%20Data%20Collection%20for%20Event%20Detection%20in%20Industrial%20Cyber-Physical%20System.pdf
first_indexed	2023-09-18T22:40:53Z
last_indexed	2023-09-18T22:40:53Z
_version_	1777416906673750016

TrustData: trustworthy and secured data collection for event detection in industrial cyber-physical system (In Press)

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