Special Issue Paper
Secure transmission for big data based on nested sampling and coprime sampling with spectrum efficiency
Article first published online: 10 MAY 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Security and Communication Networks
How to Cite
Chen, J., Liang, Q. and Wang, J. (2013), Secure transmission for big data based on nested sampling and coprime sampling with spectrum efficiency. Security Comm. Networks. doi: 10.1002/sec.785
- Article first published online: 10 MAY 2013
- National Science Foundation. Grant Numbers: CNS-1247848, CNS-1247875
- Office of Naval Research. Grant Number: N00014-13-1-0043
- big data;
- nested sampling;
- coprime sampling;
- multitone interference
Big data presents critical requirements for security in data collection and transmission of selected data through a communication network. This paper presents a new secure transmission for big data based on nested sparse sampling and coprime sampling. With nested sampling and coprime sampling, besides the advantage of higher spectrum efficiency, big data could also achieve higher power spectral density for binary frequency shift keying (BFSK) signal. When the sampling spacing pairs are big enough, the spectrum of BFSK signal performs like frequency hopping. This property has great advantage in the security of big data collection and transmission using FH/BFSK, as it could achieve low error probability. With the same multitone interfering signal added to FH/BFSK, the error probability becomes much lower using nested sampling and coprime sampling compared with the original FH/BFSK signal. This proves that both nested sampling and coprime sampling could be used in big data transmission to resist interference, while guaranteeing the transmission performance. Copyright © 2013 John Wiley & Sons, Ltd.