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• W4366432757 abstract "Reducing the amount of data transmitted and protecting devices from the adversary environment are the major challenges faced in the development of the Internet of Things (IoT) network. Compressive sensing (CS) offers the major advantage of performing lightweight encryption and compression at the same time, making it energy efficient. Like any private key algorithm, the CS encryption method has problems with key distribution and management. Public key algorithms, on the other hand, do not have these problems and provide a high level of security. However, public key algorithms increase the cost of communication that leads to a decrease in network lifetime. In this paper, we propose an efficient technique that achieves a high level of security with minimum energy consumption. The proposed technique utilizes the advantage of public-key algorithms to provide a high level of security and reduces communication costs by using the CS method. The simulation results indicate that the proposed security approach is effective in achieving better performance in security with minimal communication cost, along with prolonging network lifetime. In addition, the proposed technique makes it possible to use public-key algorithms for securing the IoT network efficiently." @default.
• W4366432757 created "2023-04-21" @default.
• W4366432757 creator A5005889802 @default.
• W4366432757 creator A5051533062 @default.
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• W4366432757 date "2023-01-01" @default.
• W4366432757 modified "2023-10-18" @default.
• W4366432757 title "A Data Security Technique Combining Asymmetric Cryptography and Compressive Sensing for IoT Enabled Wireless Sensor Networks" @default.
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• W4366432757 doi "https://doi.org/10.1007/978-3-031-30258-9_22" @default.
• W4366432757 hasPublicationYear "2023" @default.
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