A hybrid data aggregation scheme for Internet of Things (IoT)

Author(s):  
H. Rahman ◽  
N. Ahmed ◽  
Md. I. Hussain
Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2464
Author(s):  
Yanxia Fu ◽  
Yanli Ren ◽  
Guorui Feng ◽  
Xinpeng Zhang ◽  
Chuan Qin

The popularity of mobile devices in Internet of Things has brought great convenience to the lives of the people. Massive data generated in the IoT are outsourced and stored on cloud platforms so that data aggregation and analysis can be performed on the massive data. However, these data often contain sensitive information of mobile devices, so effective protection of mobile user privacy is the primary condition for further development of IoT. Most of the current data aggregation schemes require a lot of interactions between users, and thus this paper designs a non-interactive secure multidimensional data aggregation scheme. This scheme adopts an additive secret sharing technique to mask the shared data and send it to two non-colluding servers, and then the servers aggregate the ciphertext respectively. Different from the existing schemes, our proposed scheme achieves non-interaction between users, and the aggregation result is kept confidential to the server and supports mobile users offline. Finally, we perform an experimental evaluation which proves the effectiveness of our scheme.


2018 ◽  
Vol 13 (3) ◽  
pp. 347-375 ◽  
Author(s):  
Sunday Oyinlola Ogundoyin ◽  
Sunday Oladele Awoyemi

2020 ◽  
Vol 28 ◽  
pp. 100422 ◽  
Author(s):  
S. Sankar ◽  
P. Srinivasan ◽  
Ashish Kr. Luhach ◽  
Ramasubbareddy Somula ◽  
Naveen Chilamkurti

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