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引用次数: 4

摘要

近几十年来,有线系统向远程系统的转变已成为世界范围内的一种趋势。远程系统所带来的多功能性和更强的适应性使其在众多应用中成为可能。在所有当代远程系统中,移动自组织网络(MANET)是最重要和最特殊的应用之一。尽管传统的系统结构工程,MANET不要求改变系统基础;每个集线器的功能都是发送器和收集器。当集线器处于相同的通信范围中时,它们会特别地相互对应。否则,它们依赖于它们的邻居来传输消息。MANET中对枢纽自身能力的规划使其在军事利用或危机恢复等基本任务应用中突出。另一方面,开放的媒介和集线器的广泛传播使MANET对恶性攻击者毫无防备。在这种情况下,必须创建熟练的中断识别工具,以确保MANET免受攻击。随着创新的变化进一步降低了设备成本,我们看到目前马奈在机械应用中的发展模式。为了适应这种模式,我们毫不含糊地承认,解决其潜在的安全问题至关重要。在本文中,我们提出并实现了另一个中断识别框架,称为增强自适应识别(EAACK),该框架专门用于使用JAVA编程平台的Manets。以当代方法分析,EAACK在特定情况下显示出较高的恶意行为定位率,但对系统展示没有显著影响。
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Effective intrusion detection method for Manets using EAACK
The movement to remote system from wired system has been a worldwide pattern in the recent decades. The versatility what's more adaptability brought by remote system made it conceivable in numerous applications. Among all the contemporary remote systems, Mobile Ad hoc Network (MANET) is a standout amongst the most imperative and special applications. On the in spite of conventional system structural engineering, MANET does not oblige an altered system base; each and every hub functions as both a transmitter and a collector. Hubs correspond specifically with one another when they are both inside the same correspondence range. Else, they depend on their neighbors to transfer messages. The planning toward oneself capacity of hubs in MANET made it prominent among basic mission applications like military utilization or crisis recuperation. On the other hand, the open medium and wide dissemination of hubs make MANET defenseless against malignant assailants. For this situation, it is essential to create proficient interruption identification instruments to ensure MANET from assaults. With the changes of the innovation furthermore cut in equipment costs, we are seeing a current pattern of growing Manets into mechanical applications. To acclimate to such pattern, we unequivocally accept that it is crucial to address its potential security issues. In this paper, we propose and actualize another interruption recognition framework named Enhanced Adaptive Acknowledgment (EAACK) uniquely intended for Manets using JAVA programming platform. Analyzed to contemporary methodologies, EAACK shows higher malevolent conduct location rates in specific circumstances while does not significantly influence the system exhibitions.
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