基于遗传算法的Ad-hoc网络安全多目标优化认证机制研究

New Method of Security Authentication in Ad-hoc Network

节点的安全性是Ad-hoc网络面临的重要问题,因为通过非安全节点可以窃取、篡改网络中的数据包,甚至对网络造成致命性的破坏。通常情况下,Ad-hoc网络是借助于基于密钥的认证算法来实现节点的安全性保障的,但是这些认证算法并不适用于Ad-hoc的特殊网络环境。将遗传算法应用于节点安全性认证领域,通过基于多目标优化的认证机制,取代了密钥认证机制。通过模拟实验表明,基于多目标优化的认证机制,在Ad-hoc网络环境中,性能较为优越。

One of the biggest problems in ad-hoc environments is the unsafe nodes. The unsafe nodes could eavesdrop or juggle the packets, or even cause damage to the whole network's communication. Normally, it is common to use key authentication to preclude unsafe nodes. But the key distribution method is not practical in the ad-hoc environment. The author proposes a genetic algorithm approach to solve this problem. Using the character of the multi-objective optimization, a mechanism to guarantee each node's authentication could be built. The experiment shows this mechanism provides a good capability in the ad-hoc environment.