Network Intrusion Detection Systems Analysis using Frequent Item Set Mining Algorithm FP-Max and Apriori

Within the fast growing of internet user and technology in Indonesia, thus threat coming from internet is raising. The threat is common for all user in the world. Therefore, the malware has growth rapidly and the behavior is becoming more advanced. From these problem, it is important to know, how the malware is growing and how the characteristics about malware attack in Indonesia. This research aim used the data source taken from Intrusion...