Hybrid Compression Method Using Compressive Sensing (CS) Theory for Various Biometric Data and Biomedical Data

2018 ◽  
pp. 1-13
Author(s):  
Rohit Thanki ◽  
Vedvyas Dwivedi ◽  
Komal Borisagar
Keyword(s):  
Compressive Sensing ◽  
Biomedical Data ◽  
Compression Method ◽  
Biometric Data

scholarly journals Compressive sensing based secure data aggregation scheme for IoT based WSN applications

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260634
Author(s):  
Ahmed Salim ◽  
Ahmed Ismail ◽  
Walid Osamy ◽  
Ahmed M. Khedr
Keyword(s):  
Data Collection ◽  
Compressive Sensing ◽  
Data Aggregation ◽  
Simulation Analysis ◽  
Key Distribution ◽  
Key Generation ◽  
Security Attacks ◽  
Compression Method ◽  
Aggregation Scheme ◽  
Exchange Data

Compressive Sensing (CS) based data collection schemes are found to be effective in enhancing the data collection performance and lifetime of IoT based WSNs. However, they face major challenges related to key distribution and adversary attacks in hostile and complex network deployments. As a result, such schemes cannot effectively ensure the security of data. Towards the goal of providing high security and efficiency in data collection performance of IoT based WSNs, we propose a new security scheme that amalgamates the advantages of CS and Elliptic Curve Cryptography (ECC). We present an efficient algorithms to enhance the security and efficiency of CS based data collection in IoT-based WSNs. The proposed scheme operates in five main phases, namely Key Generation, CS-Key Exchange, Data Compression with CS Encryption, Data Aggregation and Encryption with ECC algorithm, and CS Key Re-generation. It considers the benefits of ECC as public key algorithm and CS as encryption and compression method to provide security as well as energy efficiency for cluster based WSNs. Also, it solves the CS- Encryption key distribution problem by introducing a new key sharing method that enables secure exchange of pseudo-random key between the BS and the nodes in a simple way. In addition, a new method is introduced to safeguard the CS scheme from potential security attacks. The efficiency of our proposed technique in terms of security, energy consumption and network lifetime is proved through simulation analysis.

Compressive Sensing for Wireless Networks

2009 ◽  
Author(s):  
Zhu Han ◽  
Husheng Li ◽  
Wotao Yin
Keyword(s):  
Wireless Networks ◽  
Compressive Sensing

Audiovisual Expression of Biometric Data Based on the Polysomnography Test

2018 ◽  
Vol 5 (4) ◽  
pp. 1-5
Author(s):  
Na Yea Oh ◽  
Hee Soo Kim ◽  
Jin Wan Park
Keyword(s):  
Biometric Data
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