DocumentCode
81663
Title
A Hybrid Security and Compressive Sensing-Based Sensor Data Gathering Scheme
Author
Jin Qi ; Xiaoxuan Hu ; Yun Ma ; Yanfei Sun
Author_Institution
Sch. of Internet of Things, Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume
3
fYear
2015
fDate
2015
Firstpage
718
Lastpage
724
Abstract
The use of cryptographic techniques such as encryption and hashing largely increases the energy consumption of sensors, which aggravates the original critical energy constraint problem of wireless sensor networks (WSNs). To reduce the burden of sensors, compression can be utilized. Since the traditional chaos-based schemes are not directly applicable for WSNs, we present a hybrid security solution. The hybrid security consists of 8-bit integer chaotic block encryption and a chaos-based message authentication codes. It aims to promote the security and performance of data gathering. In this paper, a hybrid security and compressive sensing-based scheme for multimedia sensor data gathering is presented. It has light security mechanism and thus decreases the complexity and energy consumption of system. Performance analysis about security and compression is carried out. The results show that our scheme is more applicable for WSNs multimedia data gathering from security and compression efficiency.
Keywords
compressed sensing; cryptography; multimedia systems; wireless sensor networks; chaos based message authentication codes; compressive sensing; cryptographic techniques; data security; integer chaotic block encryption; multimedia sensor data gathering; sensor data gathering scheme; wireless sensor network; Authentication; Block codes; Chaotic communication; Encryption; Energy consumption; Energy efficiency; Multimedia communication; Network security; Wireless sensor networks; Chaotic block encryption; WSNS; WSNs; chaotic block encryption; compressive sensing; multimedia data gathering;
fLanguage
English
Journal_Title
Access, IEEE
Publisher
ieee
ISSN
2169-3536
Type
jour
DOI
10.1109/ACCESS.2015.2439034
Filename
7115016
Link To Document