Whale optimization Algorithm and Blockchain Technology for Intelligent Networks

被引：0

作者：

Sulthana, Shazia ^{[1
]}

Reddy, B. N. Manjunatha ^{[1
]}

机构：

[1] VTU, Dept ECE, Global Acad Technol, Bengaluru 560098, Karnataka, India

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2022年 / 22卷 / 07期

关键词：

VANET; Privacy; Block chain; Cluster size; Network simulator; PRIVACY-PRESERVING AUTHENTICATION; LIGHTWEIGHT AUTHENTICATION; INTERNET; SCHEME;

D O I：

10.22937/IJCSNS.2022.22.7.19

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The proposed privacy preserving scheme has identified the drawbacks of existing schemes in Vehicular Networks. This prototype enhances the number of nodes by decreasing the cluster size. This algorithm is integrated with the whale optimization algorithm and Block Chain Technology. A set of results are done through the NS-2 simulator in the direction to check the effectiveness of proposed algorithm. The proposed method shows better results than with the existing techniques in terms of Delay, Drop, Delivery ratio, Overhead, throughout under the denial of attack.

引用

页码：157 / 164

页数：8

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