Brute-force attacks are a prevalent phenomenon that is getting harder to successfully detect on a network level due to increasing volume and encryption of network traffic and growing ubiquity of high-speed networks. Although research in this field has advanced considerably, there still remain classes of attacks that are undetectable. Since no security measure can guarantee that an attacker will not succeed eventually, intrusion detection techniques should be applied to detect anomalous behavior early and minimize its impacts on network performance caused by the intruders. This research proposed an intrusion detection technique in which the node (server) uses a monitoring software application to monitor the traffic flow on the network and collects relevant statistics about it. By analyzing and comparing the traffic information, the administrator will be able to indicate if any attack is performed or not.