当代无线传感器网络中的安全目标局部性

Venkatesh Shankar
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引用次数: 1

摘要

无线传感器网络(WSN)中的通信受其所处环境的影响,更容易受到危险攻击,对数据造成危害。保护信息或保持数据机密性是当今生活中的一大挑战,但主要问题是哪些需要本地化的安全性。包括这一个更复杂的现在集中在声学粒子的感觉,实践粒子群优化(PSO)方法的位置或位置评估。本文提出了现代安全目标定位(CSTL)算法,主要解决了安全与目标定位问题、目标定位改变阶段的Sybil和开关攻击以及恶意点的发生等问题,并与现有的通用定位(GLS)、三角近似点、距离矢量跳定位和多跳定位方法进行了比较。仿真结果表明,攻击识别具有较好的准确性和渐进反应性,有助于构建安全的无线传感器网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contemporary secured target locality in wireless sensor networks

Communication in Wireless Sensor Networks (WSN) by its environment further disposed to danger attacks and it harms data. Secured information or maintain data confidentiality is a big challenge in today life, but main issue is which needs a security for the purpose of localization. Including to this one more complication now focused on sensation in acoustic motes which practices Particle Swarm Optimization (PSO) method for locality or Position Assessment. Here propose Contemporary Secured Target Locality (CSTL) algorithm mainly addresses security and target location issues, Sybil and on-off attack and wicked motes occurrence at altered stages of target locality at the end results are compared with existing method General Localization (GLS), Approximate Point in Triangle, Distance Vector hop localization and multi hop method with proposed method. Here outcome of simulation prove better accuracy and progressive reaction in attack recognition presently contributes in build a secured wireless sensor network.

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