Monitoring data encryption method for howitzer shell transfer arm using chaos and compressive sensing
Xi Liu, Baolin Hou, Qiangqiang Zhao
Journal of Algorithms & Computational Technology · 2019
doi:10.1177/1748302619873598 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
A novel data encryption method is presented for howitzer shell transfer arm using chaos and compressive sensing. Data are stored in the embedded fault diagnosis machine using chaos and compressive sensing, so the encrypted data are more secure in the embedded system and in the process of transmission with host computer. When the host computer extracts the operation data of the howitzer shell transfer arm monitored by the fault diagnosis machine, firstly, the encrypted data in the embedded diagnostic machine are read, then decrypted, and then the original signal is reconstructed by the orthogonal matching pursuit algorithm for further analysis and processing. The similarity degree between the reconstructed data and the original data is 0.947, the key space of the algorithm is ( 2 64 ) 2 0 48 ∗ 2 00 ∗ ( 2 64 ) N, and the algorithm is sensitive to the key. The result shows that the method can effectively save a large number of confidential data.
Abstract licence: CC BY-NC
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.