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The Model — Dynamic and Flexible Intrusion Detection Protocol for high error rate Wireless Sensor Networks based on data flow

机译:高误码率基于数据流的无线传感器网络动态灵活入侵检测协议模型

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Wireless Sensor Networks (WSNs) are the collection of self - organizing sensor nodes deployed in various physical environments statically or dynamically depends upon the application. In wireless environment these sensor nodes are defenseless or vulnerable against attacks. To solve this problem the Intrusion Detection System (IDS) has been used and for wireless networks, Distributed Intrusion Detection System (DIDS) has been used. But this is not sufficient to achieve maximum resiliency against attacks. Considering the issues here a new Dynamic Intrusion Detection Protocol model (DYDOG) has been designed based on data flow for High Error Rate Wireless Sensor Networks (WSNs). Here the Dynamic Intrusion Detection nodes are deployed based on the proposed protocol model which will acts as forwarding node as well as Intrusion Monitoring Node with respect to the data flow through the sensor nodes. The Dynamic Intrusion Detection Nodes are selected from the one-hop or two hop neighbor's non-forwarding node list by using Secure Session Key Management approach without deploying separate Intrusion Monitoring Nodes. This makes the network is more flexible and dynamic against various attacks and provide maximum monitoring node's availability with better resiliency in high error rate Wireless Sensor Networks (WSNs). The monitoring nodes are dynamically changed in its behavior within the session itself depends on mobility and based on proposed conditions. For an attacker it will create problem to identify and attack the Dynamic Intrusion Detection Nodes within the limited session. By this protocol the attacks and compromised nodes can be effectively identified at runtime in high data rate static or dynamic Wireless Sensor Networks (WSNs). Now the research is going on On-Line Updates for local agents and global agents individually in high data rate Wireless Sensor Networks (WSNs), when the network has maximum mobility and maximum data rate.
机译:无线传感器网络(WSN)是根据应用程序静态或动态部署在各种物理环境中的自组织传感器节点的集合。在无线环境中,这些传感器节点无法防御或容易受到攻击。为了解决此问题,已使用入侵检测系统(IDS),对于无线网络,已使用分布式入侵检测系统(DIDS)。但这不足以实现最大程度的抵御攻击能力。考虑到这里的问题,基于高错误率无线传感器网络(WSN)的数据流,设计了一种新的动态入侵检测协议模型(DYDOG)。在这里,基于建议的协议模型部署了动态入侵检测节点,该协议模型将针对通过传感器节点的数据流充当转发节点以及入侵监控节点。通过使用安全会话密钥管理方法从一跳或两跳邻居的非转发节点列表中选择动态入侵检测节点,而无需部署单独的入侵监视节点。这使网络在应对各种攻击时更具灵活性和动态性,并在高错误率无线传感器网络(WSN)中提供最大的监视节点可用性和更好的弹性。监视节点在会话本身中的行为是动态变化的,这取决于移动性和建议的条件。对于攻击者而言,在受限会话内识别和攻击动态入侵检测节点将造成问题。通过此协议,可以在运行时在高数据速率静态或动态无线传感器网络(WSN)中有效地识别攻击和受感染的节点。现在,当网络具有最大的移动性和最大的数据速率时,研究将针对高数据速率无线传感器网络(WSN)中的本地代理和全局代理分别进行在线更新。

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