首页 | 本学科首页   官方微博 | 高级检索  
     


A new trust-based mechanism for detecting intrusions in MANET
Authors:Anusha K  Sathiyamoorthy E
Affiliation:School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India
Abstract:Providing security to Mobile Ad-hoc Networks (MANET) is a challenging and demanding task. It is important to secure the network against intrusions in MANET for assuring the development of services. For this purpose, some intrusion-detection systems (IDSs) have been developed in traditional works. However, these have some drawbacks, such as that there is no assurance for public key authentication, certificate validation between two nodes is not possible, and they require a large amount of time for processing. To overcome all these issues, a Trust-Based Authentication Routing with Bio-Inspired Intrusion Detection System (TRAB-IDS) is developed in this article. The main aim of this article is to provide security to the network against harmful intrusions. Here, the trust and deep packet inspection (DPI) concepts are integrated for improving the security. Moreover, the certificate authority generates a public and private key pair for initiating the route agent and authenticating the neighboring nodes. Based on the trust of the node, the packet is forwarded to the intermediate node by calculating a bogus key. Then, the DPI is initiated for extracting the packet features and the similarity between the features is estimated. If the packet is matched with the attacker, an error report will be forwarded to the certificate authority; otherwise, the packet will be forwarded to the other node. The experimental results evaluate the performance of the proposed TRAB-IDS in terms of delivery ratio, delay, security cost, and misdetection ratio.
Keywords:Bogus key and public/private key authentication  deep packet inspection (DPI)  Mobile Ad-hoc Network (MANET)  security  Trust-Based Authentication Routing with Bio-Inspired Intrusion Detection System (TRAB-IDS)
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号