Sangeetha, G. and Kalaiselvi, K. (2020) Efficient Hybrid Method for Intrinsic Security Over Wireless Sensor Network. In: Efficient Hybrid Method for Intrinsic Security Over Wireless Sensor Network. Springer, pp. 613-624.
Full text not available from this repository. (Request a copy)Abstract
Secrecy communication is promising particularly for wireless systems due to the transmission environment of the radio path, which is simply interrupted. Wireless security methods have classically improved for conventional wireline applications, and these techniques are not assumed substantial properties of the wireless channels. To overcome these problems, in this research work a foundation was developed to introduce and examine the wireless networks inhibiting confidentiality presented via node spatial distribution, wireless propagation medium and combined network interference. This work proposed an approach, called as blowfish algorithm and secure hash algorithm (SHA), for the security which are inner qualities. Blowfish, a 64-bit symmetric block cipher which utilizes a key having the variable length from 32 bits to 448 bits, includes 16 rounds and produces the key-dependent S-boxes. It is faster speed for the procedure of encryption/decryption of group communication information from the given network. A hybrid method blowfish with SHA is proposed in this work to improve the security for ensuring secrecy from the eavesdroppers. It is used to ensure the higher security in terms of reliability and security in the given network by using efficient cryptography algorithm. The result shows that the formulated system produces higher efficiency in terms of better security rather than the existing system. The proposed hybrid BF + SHA algorithm provides higher ratio of packet delivery, average delay and throughput than the existing system.
Item Type: | Book Section |
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Subjects: | Computer Science > Design and Analysis of Algorithm |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 28 Sep 2024 08:47 |
Last Modified: | 28 Sep 2024 08:47 |
URI: | https://ir.vistas.ac.in/id/eprint/7555 |