1
Faculty of Computer Information System, Higher Colleges of Technology, UAE
(ratassi@hct.ac.ae)
2
IEEE Senior Member, Post-Doc Fellow, Intelligent Cryptographic systems/IOT-Cloud in Robotics, Nazarbayev University, Kazakhstan ;Department of Computer Science, School of Engineering and Digital Sciences
(aditi11121986@gmail.com)
Abstract :
Replacement of physical labor and repetitive tasks by the agents is an attractive issue in the Smart Environment (SE). SE is distinguished by its ability to be controlled from a distance, to facilitate the connection between devices through middleware, to gather and share data from sensors, to improve the intelligence of devices, and to make decisions. To be effective, SE design must make use of information and networks that already exist in the actual world. Effective SE design is complicated by several difficulties, including monitoring, data collecting, assessment, evaluation, prediction of important data, and meaningful presentation. For SE, the most important step is gathering information from a variety of sensors in various locations. Wireless sensor networks provide an underlying architecture for the coordinated collection of data from many sensors that have common characteristics (WSN). An essential aspect of sensor networks is their inability to function in the currently complicated environment for wireless network security. In the realm of remote sensor businesses, cryptology is an essential part of safety measures. Several of the prevalent cryptographic methods have significant flaws that prevent them from being fully reliable. In this paper, we provide a unified, three-stage cryptographic procedure that combines public-key and secret-key techniques for maximum security. Due to consideration of Public-key management and high degree of security, Rijndael Encryption Approach (REA), Horst Feistel's Encryption Approach (HFEA), and the more sophisticated Rivest-Shamir-Adleman (e-RSA). Time spent in both execution and decoding of the suggested approach was utilized to rank the quality of displays. The suggested set of rules uses a single evaluation boundary or computation time, which is different from the methodologies used before. Low Encryption Time (LET) and Low Unscrambling Time (LDT) values of 1.12 and 1.26 were observed on texts ranging in size from 6 to 184 MB, respectively. Comparisons show that the suggested hybrid form is 2.9% more efficient than AES+RSA, 1.36 times more efficient than ECC+RSA+MD-5, 1.36 times more efficient than AES+ECC, and 1.36 times more efficient than AES+ECC+RSA+MD-5.
Keywords :
Wireless Sensor Networks (WSN); Rijndael encryption approach; Horst Feistel’s encryption approach; Enhanced RSA
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| Style | # |
|---|---|
| MLA | Reem Atassi, Aditi Sharma. "An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques." International Journal of Wireless and Ad Hoc Communication, Vol. 6, No. 2, 2023 ,PP. 08-17 (Doi : https://doi.org/10.54216/IJWAC.060201) |
| APA | Reem Atassi, Aditi Sharma. (2023). An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques. Journal of International Journal of Wireless and Ad Hoc Communication, 6 ( 2 ), 08-17 (Doi : https://doi.org/10.54216/IJWAC.060201) |
| Chicago | Reem Atassi, Aditi Sharma. "An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques." Journal of International Journal of Wireless and Ad Hoc Communication, 6 no. 2 (2023): 08-17 (Doi : https://doi.org/10.54216/IJWAC.060201) |
| Harvard | Reem Atassi, Aditi Sharma. (2023). An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques. Journal of International Journal of Wireless and Ad Hoc Communication, 6 ( 2 ), 08-17 (Doi : https://doi.org/10.54216/IJWAC.060201) |
| Vancouver | Reem Atassi, Aditi Sharma. An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques. Journal of International Journal of Wireless and Ad Hoc Communication, (2023); 6 ( 2 ): 08-17 (Doi : https://doi.org/10.54216/IJWAC.060201) |
| IEEE | Reem Atassi, Aditi Sharma, An Efficient and Secured Triple-Layered Wireless Sensor Network with Machine Learning Techniques, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 6 , No. 2 , (2023) : 08-17 (Doi : https://doi.org/10.54216/IJWAC.060201) |