Hybrid identity based cryptographic scheme optimization using machine learning in WSN

被引：0

作者：

Grumazescu, Constantin ^{[1
]}

Vladuta, Valentin-Alexandru ^{[1
]}

Timofte, Andrei ^{[1
]}

机构：

[1] Mil Tech Acad Ferdinand I, CETASC, Comp Sci Dept, Bucharest, Romania

来源：

PROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI) | 2018年

关键词：

identity; hierarchic; distributed; wireless sensor network; machine learning; unmanned aerial vehicle; sink; optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Wireless sensor networks (WSN) security has become a very important issue considering the wide range of applications and implementation challenges. In this article we are proposing a machine learning based technique in order to optimize all aspects of wireless sensor network based applications that are being secured using a previously proposed Hybrid Distributed-Hierarchical Identity Based Cryptographic Scheme (HYDISH).

引用

页数：6

共 29 条

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