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Malicious software (malware) performs a malicious function that compromising a
computer system’s security. Many methods have been developed to improve the security
of the computer system resources, among them the use of firewall, encryption, and
Intrusion Detection System (IDS). IDS can detect newly unrecognized attack attempt and
raising an early alarm to inform the system about this suspicious intrusion attempt. This
paper proposed a hybrid IDS for detection intrusion, especially malware, with
considering network packet and host features. The hybrid IDS designed using Data
Mining (DM) classification methods that for its ability to detect new, previously unseen
intrusions accurately and automatically. It uses both anomaly and misuse dete
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