An Adaptive Intelligent Multi-Agent for Network Protection

Abstract

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

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