Title :
A Compressive Sensing Based Secure Data Transmission Scheme
Author :
Guorui Li ; Ying Wang
Author_Institution :
Sch. of Comput. & Commun. Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
Abstract :
In compressive sensing theory, a signal can be reconstructed from a small set of non-adaptive, linear measurements if the signal can be represented as a sparse object in some orthonormal basis. We proposed a compressive sensing based secure data transmission scheme in this paper. Only simple linear operations are required in the encryption end and complex computations are transferred to the resourcerich decryption end. The detailed encryption and decryption processes are described in detail. We proved the proposed secure data transmission scheme can achieve perfect secrecy under some conditions. Signal encryption and decryption experiments are also provided to verify the effectiveness of the proposed scheme.
Keywords :
compressed sensing; cryptography; data communication; signal reconstruction; compressive sensing theory; decryption processes; encryption processes; linear measurements; secure data transmission scheme; signal decryption; signal encryption; signal reconstruction; Compressed sensing; Data communication; Encryption; Matching pursuit algorithms; Random variables; Sparse matrices; Compressive sensing; Perfect secrecy; Restricted isometry property; Security;
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.221