Abstract

<p>The aim of this research is to design an adaptive intelligent multi-agent for network protection, the objective is to provide a <br>faster network by application of the multi-agent concept of a distributed artificial intelligence idea, to enhance the network <br>intrusion detection systems (IDS) of existing technology, to provide a system that allows a network element to engage in <br>adaptive behavior by easy communicating and sharing of resources in other to solve a problem faster and to provide an enhance <br>system that could monitor intruders into a network. The motivation towards this study is from the inability to protect the <br>network during request of multiple transactions and network failure due to attack on the network. An object oriented analysis <br>design methodology (OOADM) will be used for the system analysis and design while employing the unifield modeling language <br>(UML) for the development of the multi-agent network protection architecture and the programming language will be PHP, <br>HTML and MySQL as backend and database design. These development tools were chosen because of their simplicity and <br>flexibility in coding, easy integration and deployment. The expected results will be an adaptive intelligent multi-agent network <br>protection system that will solve the current problems witnessed by many organizations network on the issues of network <br>attack, delay on the processing of requested transactions and constant network failure. The proposed system is intended to <br>apply multiple agents architectural model to processes request as they come in by unique communication between the in the <br>system agents. The communication will help speed-up processing speed of the network and hence report any witnessed attack <br>made from any angle for an immediate action</p>