TY - JOUR
T1 - Lucy with Agents in the Sky
T2 - Trustworthiness of Cloud Storage for Industrial Internet of Things
AU - Khan, Abid
AU - Din, Sadia
AU - Jeon, Gwanggil
AU - Piccialli, Francesco
N1 - Funding Information:
Manuscript received August 30, 2019; revised December 7, 2019 and January 19, 2020; accepted January 30, 2020. Date of publication February 17, 2020; date of current version November 18, 2020. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government under Grant 2018045330. Paper no. TII-19-4007. (Corresponding author: Gwanggil Jeon.) Abid Khan is with the Department of Computer Science, Aberystwyth University, SY23 3DB Wales, U.K. (e-mail: [email protected]).
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2020/2/17
Y1 - 2020/2/17
N2 - The industrial Internet of Things (IIoT) has the potential to transform several industries. However, reliable data collection, processing, and analytics cannot be performed if the underlying cloud storage is not trustworthy. The current IIoT architectures tend to adopt cloud computing as a backbone for their implementation and further deployment. Therefore, the trustworthiness of the cloud storage is of paramount importance for the design of efficient and reliable IIoT. This becomes very challenging if the data storage is outsourced to a third party, which may raise many problems such as noncompliance to service-level agreement, data theft, and privacy issues. Mobile agents have a number of characteristics including mobility, lightweight, autonomous, reactive, and intelligent making them ideal for deployment in many distributed applications. Therefore, in this article, we propose a multiagent-based approach to address the geolocation assurance problem of the outsourced data in the context of IIoT. As a result, we achieve efficient geolocation assurance with manageable costs without the need of a trusted third party.
AB - The industrial Internet of Things (IIoT) has the potential to transform several industries. However, reliable data collection, processing, and analytics cannot be performed if the underlying cloud storage is not trustworthy. The current IIoT architectures tend to adopt cloud computing as a backbone for their implementation and further deployment. Therefore, the trustworthiness of the cloud storage is of paramount importance for the design of efficient and reliable IIoT. This becomes very challenging if the data storage is outsourced to a third party, which may raise many problems such as noncompliance to service-level agreement, data theft, and privacy issues. Mobile agents have a number of characteristics including mobility, lightweight, autonomous, reactive, and intelligent making them ideal for deployment in many distributed applications. Therefore, in this article, we propose a multiagent-based approach to address the geolocation assurance problem of the outsourced data in the context of IIoT. As a result, we achieve efficient geolocation assurance with manageable costs without the need of a trusted third party.
KW - Cloud computing
KW - industrial Internet of Things (IIOT)
KW - Internet of Things (IoT)
KW - multiagents
UR - http://www.scopus.com/inward/record.url?scp=85096807897&partnerID=8YFLogxK
U2 - 10.1109/TII.2020.2974493
DO - 10.1109/TII.2020.2974493
M3 - Article
AN - SCOPUS:85096807897
SN - 1551-3203
VL - 17
SP - 953
EP - 960
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 2
M1 - 9000882
ER -