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• W4312420199 abstract "Internet of Things (IoT) provides dependable with impeccable data transmission for the heterogeneous Wireless Sensor Network (WSN). Maximum of the WSN based routing protocols are remain exposed to specific problems concerning packet delivery ratio and delay. This work establishes a security algorithm (SA) for WSN’s IoT networks. At first, the built network includes optimization-related deep learning for route introduction. After this, the ClonQlearn-related SA will be applied to enhance the security that is centered upon an ECC algorithm which combines the process of data encryption and decryption mainly for random key generation. The proffered security approach includes reinforcement learning based ClonQlearn incorporated with ECC (ClonQlearn+ECC). This proffered approach shows secure data transition with enhanced network execution while correlated with the previous studies in simulation." @default.
• W4312420199 created "2023-01-04" @default.
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• W4312420199 date "2022-05-31" @default.
• W4312420199 modified "2023-09-30" @default.
• W4312420199 title "An Effectual Secure Cryptography Scheme for Multipath Routing in A Wsn-Based IoT Environment" @default.
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• W4312420199 doi "https://doi.org/10.1109/iiceta54559.2022.9888604" @default.
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