Virtual Knowledge Communities (VKC) are current popular media on the internet through which the access and sharing of knowledge and information among communities of similar interest groups are made possible. Agent's technologies are presently being deployed to facilitate the success of VKC, which is a virtual place where knowledge agents can meet, communicate and interact among themselves. Recently, quite a number of works have been done on agent-based knowledge communities but most of these works have not actually considered the possibilities of intrusion and the consequences that these malicious attacks can have on those systems. This paper therefore addresses the issue of intrusion detection problems in the sharing of knowledge in agent-based virtual knowledge communities. Intelligent agents are proposed as measures to guide against any spy or intruder into the VKC environment. The relevance of this method in current scientific research cannot be overemphasized as the work shows great potentials of yielding promising results.

The primary purpose of Denial of Service attack (DoS) is to cripple resources so that the resources are made unavailable to the legitimate users. Due to the inadequate monitoring of activities on the network, it has resulted into huge financial losses. Bandwidth which is one of the resources being used on the network, if not properly monitored could result into misused and attack. This paper proposes a real time system for securing and monitoring the amount of bandwidth consumed on the network using the multi-agent framework technology. It also keeps a record of internet protocol (IP) addresses visiting the network and may be used as a starting point for the aspect of response in providing a comprehensive solution to DoS attacks. The bandwidth is pre-entered and an agent is assigned to monitor bandwidth consumption rate against the set threshold. If the bandwidth is consumed above the bandwidth limit and time set, then a DoS attack is suspected taking into considerations the DoS attack framework. This framework can be used as a replicate of what happen in the network scenario environment.