首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things
【2h】

A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things

机译:基于区块链的多移动代码驱动的信任机制用于检测物联网内的内部攻击

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A multitude of smart things and wirelessly connected Sensor Nodes (SNs) have pervasively facilitated the use of smart applications in every domain of life. Along with the bounties of smart things and applications, there are hazards of external and internal attacks. Unfortunately, mitigating internal attacks is quite challenging, where network lifespan (w.r.t. energy consumption at node level), latency, and scalability are the three main factors that influence the efficacy of security measures. Furthermore, most of the security measures provide centralized solutions, ignoring the decentralized nature of SN-powered Internet of Things (IoT) deployments. This paper presents an energy-efficient decentralized trust mechanism using a blockchain-based multi-mobile code-driven solution for detecting internal attacks in sensor node-powered IoT. The results validate the better performance of the proposed solution over existing solutions with 43.94% and 2.67% less message overhead in blackhole and greyhole attack scenarios, respectively. Similarly, the malicious node detection time is reduced by 20.35% and 11.35% in both blackhole and greyhole attacks. Both of these factors play a vital role in improving network lifetime.
机译:众多智能的东西和无线连接的传感器节点(SNS)普遍促进了在每个域的每个领域中使用智能应用程序。随着智能事物和应用的奖励,存在外部和内部攻击的危险。不幸的是,缓解内部攻击是非常具有挑战性的,其中网络寿命(W.R.T.节点级别的能量消耗),延迟和可扩展性是影响安全措施效果的三个主要因素。此外,大多数安全措施都提供了集中解决方案,忽略了SN供电的物联网(物联网)部署的分散性。本文介绍了一种使用基于区块链的多移动代码驱动解决方案的节能分散的信任机制,用于检测传感器节点供电的IOT中的内部攻击。结果验证了拟议的解决方案对现有解决方案的更好性能,分别在黑洞和灰孔攻击场景中具有43.94%和2.67%的信息开销。同样,黑孔和灰孔攻击中,恶意节点检测时间减少了20.35%和11.35%。这两种因素在改善网络寿命方面发挥着至关重要的作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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