A novel video information hiding scheme with compressed sensing data

Author(s):  
H. M. Zhao ◽  
Y. M. Fang
2019 ◽  
Vol 68 (1) ◽  
pp. 01-07
Author(s):  
Tyler Taylor, Justin Rogers

Video Steganography is a strategy wherein we can conceal a wide range of documents with any extension into a carrying Video document. Right now, are utilizing two fundamental wording that is have host file and carrier file where host file is a hidden file (any sort of record like content document, picture document, and sound/video document) and carrier file must be a video record. The primary inspiration of this paper is to make sure about moving of information by utilizing steganography and cryptography system. It is worried about implanting data in a harmless spread media in a safe and hearty way. Right now expositions we are utilizing Forbidden Zone Data Hiding strategy where no modification is required in have signal range during information hidden procedure. To safely moving the information record, we use video information covering up and utilizing revision limit of rehash gather code with predominance of taboo zone information stowing away. Utilizing this methodology we can likewise stow away and move the enormous video record whose size is bigger than spread record in secure way. The principle favorable position of utilizing video record sequestered from everything data is the additional protection from of the outsider or unintended beneficiary because of the overall multifaceted nature of video contrasted with picture and sound document. I have effectively actualized the proposed system of video information hiding utilizing forbidden zone datahiding strategy (FZDH) on content document, picture record, sound record and video document. The exceptional element is that we can hide the bigger size video record behind the smaller size cover record.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 214992-215009
Author(s):  
Shuai Ren ◽  
Tao Zhang ◽  
Meng Wang ◽  
Khurram Shahzad

2016 ◽  
Vol 12 (08) ◽  
pp. 13 ◽  
Author(s):  
Xianghong Tian

First introduce a traditional compressed sensing data fusion technique, and aiming at the shortcoming of traditional method, a compressed sensing data fusion technology based on temporal-spatial correlation is put forward. Then modeling on the proposed data fusion technique, improve the CS reconstruction algorithm and present the iterative threshold reconstruction algorithm based on temporal-spatial correlation. With the synthetic signals as the research objects, experiments show the effectiveness of the algorithm, further proving that it has obvious improvement for the proposed data fusion technology to reduce the network load and save the network energy.


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