无线传感器网络中节点分布和免疫入侵检测算法研究

发布时间：2018-02-24 12:03

本文关键词： 无线传感器网络入侵检测节点分布免疫危险理论　出处：《哈尔滨理工大学》2014年硕士论文　论文类型：学位论文

【摘要】：技术发展的速度越来越快，传感技术有了很大发展。无线传感器网络综合了现代网络和无线通信技术等先进技术，并广泛地应用于军事侦察、健康医疗和其他商业领域。其特有的局限性如节点存储、能量有限以及无人值守，使得无线传感器网络容易遭受攻击。在网络安全中，入侵检测系统作为第二道防线，是关键性解决无线传感器网络安全问题的技术。本文在详细分析了无线传感器网络的局限性后，针对WSN中节点能量有限的特点，首先提出了一种高能量有效的自适应分簇传感器节点分布算法，算法结合簇建立阶段数据通信所消耗的能量得到最优簇头数目；然后根据最优簇头数目，按照划分区域的聚类方法，把监测区域平均划分为簇；最后通过节点剩余能量和簇内通信代价两个参数来选举簇头，簇内节点收集数据信息，发送给簇头，簇头对数据处理后发送给基站。这样可以减少通信业务量，一个周期过后，轮换簇头。实验验证了算法高能量有效的特性。在无线传感器网络中传统的入侵检测系统已不再适用，人工免疫的多样性、耐受性、免疫记忆、分布式并行处理、自组织、自学习、自适应和鲁棒性等特点适用于无线传感器网络入侵检测，人工免疫学中的危险理论不对自体/非自体进行区分而是识别机体组织中的危险信号，解决了传统的基于自体/非自体模式的入侵检测系统存在的不足，所以在研究了已有的入侵检测方法后，根据人工免疫危险原理，提出了基于免疫危险理论的入侵检测算法——分散式树突状细胞算法，，节点起到树突状细胞或淋巴结的作用，而且只需要在一部分节点里运行入侵检测系统，实验结果显示，算法节约了能量，延长了节点寿命，且在检测性能方面体现了优越性。
[Abstract]:Technology development faster and faster, sensing technology has been greatly developed. Wireless sensor network is a combination of modern network and wireless communication technology, and is widely used in military reconnaissance, health care and other commercial areas. Its unique limitations such as limited energy and storage nodes, unattended wireless sensor network vulnerable. In network security, intrusion detection system as the second line of defense is the key technology to solve the security problems of wireless sensor networks.
Based on the detailed analysis of the limitations of wireless sensor network, according to the characteristics of the limited energy of nodes in WSN, first proposed a high energy efficient adaptive clustering algorithm for distributed sensor nodes, cluster algorithm combining the establishment stage of data communication and the energy consumption of the best cluster number; then according to the optimal number of cluster head. According to the clustering method into the area, the monitoring area average clustering; finally, the residual energy of the nodes and the cluster communication cost of two parameters to the cluster head election. The nodes in the cluster to collect the data sent to the cluster head, the cluster head of data sent to the base station. This can reduce the communication traffic, after a a cycle of rotation of cluster heads. Experiments verify the algorithm of high energy efficient features.
In the wireless sensor network in the traditional intrusion detection system is no longer applicable, diversity, immune tolerance, immune memory, distributed parallel processing, self-organization, self-learning, adaptive and robust features for intrusion detection in wireless sensor network, no artificial immune danger theory in self / non self distinguish but identification of danger signals in the organism, has solved the problem of self / non self intrusion detection system based on the traditional mode, so the study of the existing intrusion detection methods, according to the principle of artificial immune danger, we propose an intrusion detection algorithm - Immune Danger Theory distributed dendritic cell algorithm based on node to dendritic cells or lymph nodes, and only need to run the intrusion detection system in a part of the nodes, the experimental results show that the algorithm saves energy, The lifetime of the nodes is prolonged, and the superiority of the detection performance is shown.

【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP212.9;TN915.08

【引证文献】