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Multidimensional Multi-Attribute Approach to Counter the Routing Attacks on MANET
Wireless Personal Communications ( IF 1.9 ) Pub Date : 2021-03-05 , DOI: 10.1007/s11277-021-08315-4
Nilesh R. Marathe , Subhash K. Shinde

The Dynamic on demand network formation feature of MANET tend to have its biggest the vulnerability that infect the process of route establishment using routing algorithms and exploits many attacks. Identifying the attack and isolating the malicious node to reform the secured routing environment is the major goal of all researchers working for securing the MANET. IDS and trust based collaborative approach (ITCA) is the our first proposed published method which provides the platform for hybrid approach to trap the malicious nodes through combined efforts from multiple dimensions.The proposed framework utilize the benefit of Reputation and Trust based evaluation process to secure route discovery by isolating malicious nodes at early stage of route formation. The more advanced approach, multi-dimensional multi-attribute system (MDMA), incorporates multi-attribute direct, indirect trust mechanism, and use of measured risk by credibility factor, while considering indirect trust. It empowers IDS and make the ITCA more efficient. The attributes considered for calculations of trust are adaptable to change in application environment make MDMA a flexible generalized solution. The MDMA is evaluated by implementing using AODV and compared with our previous proposed method ITCA along with many other solutions. The results are better and more adaptable to the changing environment.



中文翻译:

应对MANET路由攻击的多维多属性方法

MANET的动态按需网络形成功能往往具有最大的漏洞,该漏洞会感染使用路由算法的路由建立过程并利用许多攻击。识别攻击并隔离恶意节点以改革安全的路由环境是所有致力于保护MANET的研究人员的主要目标。IDS和基于信任的协作方法(ITCA)是我们首次提出的已发布方法,该方法提供了一种混合方法平台,可以通过多方面的共同努力来捕获恶意节点。该提议的框架利用了基于信誉和信任的评估过程的优势来确保安全通过在路线形成的早期阶段隔离恶意节点来发现路线。更高级的方法,多维多属性系统(MDMA),在考虑间接信任的同时,结合了多属性直接,间接信任机制,以及通过可信度因子衡量风险的使用。它赋予IDS权力,并使ITCA更加高效。用于计算信任度的属性可适应应用程序环境中的更改,从而使MDMA成为灵活的通用解决方案。通过使用AODV实施对MDMA进行评估,并将其与我们先前提出的ITCA方法以及许多其他解决方案进行比较。结果更好,更适应不断变化的环境。用于计算信任度的属性可适应应用程序环境中的更改,从而使MDMA成为灵活的通用解决方案。通过使用AODV实施对MDMA进行评估,并将其与我们先前提出的ITCA方法以及许多其他解决方案进行比较。结果更好,更适应不断变化的环境。用于计算信任度的属性可适应应用程序环境中的更改,从而使MDMA成为灵活的通用解决方案。通过使用AODV实施对MDMA进行评估,并将其与我们先前提出的ITCA方法以及许多其他解决方案进行比较。结果更好,更适应不断变化的环境。

更新日期:2021-03-05
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