One-stop: A novel hybrid model for intrusion detection system

Organizations are paying huge amount only for the sake of securing their confidential data from attackers or intruders. But the hackers are Big Bosses and are very sharp enough to crack the security of the organization. Therefore before they made security breach, let us hunt down them and make the alert for organization, so that they can save their confidential data. For the above mentioned purpose, Intrusion detection system came into existence. But the current systems are not capable enough to detect all the attacks coming towards them. In order to fix the problem of detecting novel attacks and reducing number of false alarm, here in this paper, we have proposed a hybrid model for intrusion detection system, which have enhanced quality of detecting the unknown attack via anomaly based detection and also have module which will try to reduce the number of false alarm generated by the system.