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International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Cheng-Tang Chiang


People’s Republic of China

Publications
  • Research Article
    Data Encryption and Transmission Based on Personal ECG Signals
    Author(s): Ching-Kun Chen, Chun-Liang Lin, Shyan-Lung Lin and Cheng-Tang ChiangChing-Kun Chen, Chun-Liang Lin, Shyan-Lung Lin and Cheng-Tang Chiang

    ECG signal vary from person to person, making it difficult to be imitated and duplicated. Biometric identification based on ECG is therefore a useful application based on this feature. Synchronization of chaotic systems provides a rich mechanism which is noise-like and virtually impossible to guess or predict. This study intends to combine our previously proposed information encryption/decryption system with chaotic synchronization circuits to create private key masking. To implement the proposed secure communication system, a pair of Lorenz-based synchronized circuits is developed by using operational amplifiers, resistors, capacitors and multipliers. The verification presented involves numerical simulation and hardware implementation to demonstrate feasibility of the proposed method. High quality randomness in ECG signals results in a widely expanded key space, making it an ideal ke.. Read More»

    Abstract PDF

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Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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