Reversible ECG Watermarking for Ownership Detection, Tamper Localization, and Recovery

被引:0
作者
Siddharth Bhalerao
Irshad Ahmad Ansari
Anil Kumar
机构
[1] PDPM Indian Institute of Information Technology Design and Manufacturing,Discipline of Electronics and Communication Engineering
来源
Circuits, Systems, and Signal Processing | 2022年 / 41卷
关键词
Copyright protection; ECG security; Recovery; Reversibility; Tamper detection;
D O I
暂无
中图分类号
学科分类号
摘要
Security is unarguably the most important aspect when it comes to transmission and handling of medical data. Technological development has done wonders in the analysis of medical images as well as physiological signals. On the other hand, it posed a serious question of security threat for these signals. Schemes like cryptography, steganography, and watermarking are employed to ensure medical signal safety. All schemes have their strengths and flaws. Encryption provides a strong answer toward data security but it cannot withstand signal tampering. On the other hand, steganography is a creative method for data security but it introduces permanent changes in the signal. In proposed work, a reversible watermarking scheme has been developed for electrocardiogram (ECG) signal security. To the best knowledge of authors, proposed method is the first of its kind, i.e., capable of ownership establishment, tampering detection, and recovery of ECG signal (in case of tampering). It uses prediction error expansion (PEE) for reversible watermarking. The proposed algorithm is capable of maintaining 100% reversibility when no tampering is performed on the watermarked signal. In case of tampering, the proposed algorithm is capable of partially restoring tampered ECG signal highlighting prominent parts.
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页码:5134 / 5159
页数:25
相关论文
共 107 条
[1]  
Andreão RV(2006)ECG signal analysis through hidden markov models IEEE Trans. Biomed. Eng. 53 1541-e220
[2]  
Dorizzi B(2018)Intelligent hybrid approaches for human ECG signals identification Signal Image Video Process. 12 941-287
[3]  
Boudy J(2017)Comparative study of algorithms for ECG segmentation Biomed. Signal Process. Control 34 166-155
[4]  
Bassiouni MM(2019)A reversible and multipurpose ECG data hiding technique for telemedicine applications Pattern Recognit. Lett. 125 463-undefined
[5]  
El-Dahshan ESA(2020)A secure image watermarking for tamper detection and localization J. Ambient Intell. Humaniz. Comput. 1 3-undefined
[6]  
Khalefa W(1994)Ideal spatial adaptation by wavelet shrinkage Biometrika 81 425-undefined
[7]  
Salem AM(2014)Local-prediction-based difference expansion reversible watermarking IEEE Trans. Image Process. 23 1779-undefined
[8]  
Beraza I(2000)PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals Circulation 101 e215-undefined
[9]  
Romero I(2020)A secure IoT-based modern healthcare system with fault-tolerant decision making process IEEE J. Biomed. Heal. Inform. 1 862-undefined
[10]  
Bhalerao S(2021)A survey on healthcare data security in wireless body area networks J. Ambient Intell. Humaniz. Comput. 1 3-undefined