Paper Info
Title
Muscle Activity-Driven Green-Oriented Random Number Generation Mechanism to Secure WBSN Wearable Device Communications.
Abstract
Wireless body sensor networks (WBSNs) mostly consist of low-cost sensor nodes and implanted devices which generally have extremely limited capability of computations and energy capabilities. Hence, traditional security protocols and privacy enhancing technologies are not applicable to the WBSNs since their computations and cryptographic primitives are normally exceedingly complicated. Nowadays, mobile wearable and wireless muscle-computer interfaces have been integrated with the WBSN sensors for various applications such as rehabilitation, sports, entertainment, and healthcare. In this paper, we propose MGRNG, a novel muscle activity-driven green-oriented random number generation mechanism which uses the human muscle activity as green energy resource to generate random numbers (RNs). The RNs can be used to enhance the privacy of wearable device communications and secure WBSNs for rehabilitation purposes. The method was tested on 10 healthy subjects as well as 5 amputee subjects with 105 segments of simultaneously recorded surface electromyography signals from their forearm muscles. The proposed MGRNG requires only one second to generate a 128-bit RN, which is much more efficient when compared to the electrocardiography-based RN generation algorithms. Experimental results show that the RNs generated from human muscle activity signals can pass the entropy test and the NIST random test and thus can be used to secure the WBSN nodes.
Year
DOI
Venue
2018
10.1155/2018/3403456
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Field
DocType
Volume
Wireless,Cryptographic protocol,Wearable computer,Computer science,Network security,Computer network,Cryptographic primitive,Information privacy,Random number generation,Wireless sensor network,Embedded system
Journal
2018
ISSN
Citations 
PageRank 
1530-8669
0
0.34
References 
Authors
21
7
Name
Order
Citations
PageRank
Yuanlong Cao14311.90
Guanghe Zhang211.72
Fanghua Liu300.34
Ilsun You4979123.32
Guanglou Zheng5577.07
O. W. Samuel616122.87
Shixiong Chen741.78