...
首页> 外文期刊>International Journal of Computer Network and Information Security >Optimized and Executive Survey of Physical Node Capture Attack in Wireless Sensor Network
【24h】

Optimized and Executive Survey of Physical Node Capture Attack in Wireless Sensor Network

机译:无线传感器网络中物理节点捕获攻击的优化执行调查

获取原文
           

摘要

Wireless sensor networks (WSNs) are novel large-scale wireless networks that consist of distributed, self organizing, low-power, low-cost, tiny sensor devices to cooperatively collect information through infrastructure less wireless networks. These networks are envisioned to play a crucial role in variety of applications like critical military surveillance applications, forest fire monitoring, commercial applications such as building security monitoring, traffic surveillance, habitat monitoring and smart homes and many more scenarios. Node capture attack is one of the most dreadful security attack exist in wireless sensor networks. An adversary steals cryptographic key or other confidential information like node’s id etc from a captured node to compromise entire network. So, Security of wireless sensor network is an important issue for maintaining confidentiality and integrity of wireless links. Now-a-days, researchers are paying attention towards developing security schemes against Node capture attack. Our survey provides deep insights of existing techniques that enhance the attacking efficiency of the node capture attack in wireless sensor network. It also analyzes various detection and key pre-distribution schemes for inventing a new scheme to improve resilience against node capture attack.
机译:无线传感器网络(WSN)是新颖的大规模无线网络,由分布式,自组织,低功耗,低成本,纤巧的传感器设备组成,可通过无基础设施的无线网络协作收集信息。预计这些网络将在各种应用程序中发挥关键作用,例如关键军事监视应用程序,森林火灾监视,建筑物安全监视,交通监视,栖息地监视和智能家居等商业应用以及更多场景。节点捕获攻击是无线传感器网络中存在的最可怕的安全攻击之一。攻击者从捕获的节点窃取加密密钥或其他机密信息(例如节点的ID等),以破坏整个网络。因此,无线传感器网络的安全性是维护无线链路的机密性和完整性的重要问题。如今,研究人员正在关注开发针对Node Capture攻击的安全方案。我们的调查提供了对现有技术的深刻见解,这些现有技术可增强无线传感器网络中节点捕获攻击的攻击效率。它还分析了各种检测和关键预分配方案,以发明一种新的方案来提高抵御节点捕获攻击的弹性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号