Semi fragile audio crypto-watermarking based on sparse sampling with partially decomposed Haar matrix structure
In the recent era the growth of technology is tremendous and at the same time, the misuse of technology is also increasing with an equal scale. Thus the owners have to protect the multimedia data from the malicious and piracy. This has led the researchers to the new era of cryptography and watermark...
Elmentve itt :
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| Dokumentumtípus: | Cikk |
| Megjelent: |
University of Szeged, Institute of Informatics
Szeged
2020
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| Sorozat: | Acta cybernetica
24 No. 4 |
| Kulcsszavak: | Kriptográfia |
| Tárgyszavak: | |
| doi: | 10.14232/actacyb.280899 |
| Online Access: | http://acta.bibl.u-szeged.hu/71761 |
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| 005 | 20220621092541.0 | ||
| 008 | 210205s2020 hu o 0|| eng d | ||
| 022 | |a 0324-721X | ||
| 024 | 7 | |a 10.14232/actacyb.280899 |2 doi | |
| 040 | |a SZTE Egyetemi Kiadványok Repozitórium |b hun | ||
| 041 | |a eng | ||
| 100 | 2 | |a Jayarani Appadurai Electa Alice | |
| 245 | 1 | 0 | |a Semi fragile audio crypto-watermarking based on sparse sampling with partially decomposed Haar matrix structure |h [elektronikus dokumentum] / |c Jayarani Appadurai Electa Alice |
| 260 | |a University of Szeged, Institute of Informatics |b Szeged |c 2020 | ||
| 300 | |a 679-697 | ||
| 490 | 0 | |a Acta cybernetica |v 24 No. 4 | |
| 520 | 3 | |a In the recent era the growth of technology is tremendous and at the same time, the misuse of technology is also increasing with an equal scale. Thus the owners have to protect the multimedia data from the malicious and piracy. This has led the researchers to the new era of cryptography and watermarking. In the traditional security algorithm for the audio, the algorithm is implemented on the digital data after the traditional analog to digital conversion. But in this article, we propose the crypto – watermarking algorithm based on sparse sampling to be implemented during the analog to digital conversion process only. The watermark is generated by exploiting the structure of HAAR transform. The performance of the algorithm is tested on various audio signals and the obtained SNR is greater than 30dB and the algorithm results in good robustness against various signal attacks such as echo addition, noise addition, reverberation etc. | |
| 650 | 4 | |a Természettudományok | |
| 650 | 4 | |a Matematika | |
| 650 | 4 | |a Számítás- és információtudomány | |
| 695 | |a Kriptográfia | ||
| 700 | 0 | 1 | |a Bhatt Mahabaleswara Ram |e aut |
| 700 | 0 | 2 | |a D. D. Geetha |e aut |
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/71761/1/cybernetica_024_numb_004_679-697.pdf |z Dokumentum-elérés |