Mitigating Iot Attacks In Smart Medical Networks Using Enhanced Dirichlet Based Algorithm For Trust Management System

Mansi Malhotra, Mehak Ganjoo, Shreya Kulkarni, Sneha Paranjape, Supriya Kelkar
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引用次数: 3

Abstract

The innumerable application domains of Internet of Things (IoT) make security a big concern for the protection of devices and shared data from unauthorized access. The existing Internet Security protocols cannot be conformed for IoT entities due to their heterogeneity and resource constrained nature. Thus, there is a requirement of trust management systems as trust grants an IoT entity the ability to differentiate and govern the information disclosure in the network which ensures privacy and security. This paper proposes an Enhanced Dirichlet Trust Management Algorithm for healthcare domain which ensures reliable trust evaluation by considering direct observations and recommendations. The functional properties of the nodes form a key part of the algorithm. The existing Dirichlet algorithm has been enhanced by introducing Neighbour Node detection mechanism which helps to grant initial estimates of trust values to the nodes in the network. The proposed algorithm has been tested against various IoT attacks and the system performance has been summarized in the paper.
利用基于Dirichlet的增强信任管理算法缓解智能医疗网络中的物联网攻击
物联网(IoT)的无数应用领域使安全成为保护设备和共享数据免受未经授权访问的大问题。由于物联网实体的异构性和资源约束性质,现有的互联网安全协议无法符合物联网实体。因此,需要信任管理系统,因为信任赋予物联网实体区分和管理网络中信息披露的能力,以确保隐私和安全。本文提出了一种用于医疗保健领域的增强Dirichlet信任管理算法,该算法通过考虑直接观察和建议来保证可靠的信任评估。节点的功能属性是算法的关键部分。通过引入邻居节点检测机制对现有的Dirichlet算法进行了改进,该机制有助于对网络中节点的信任值进行初始估计。本文对所提出的算法进行了针对各种物联网攻击的测试,并对系统性能进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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