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Providing Network Security Using Intrusion Detection System With Generating Meta Alerts

Journal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 11)

Publication Date:

Authors : ; ;

Page : 727-730

Keywords : IDS Intrusion Detection System; Generative Data Stream Modeling; Meta-Alert Generation; Alert Aggregation;

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IT systems are the main component of humans life in which networking is essential thing. When networking is considered the first thing which comes in everyone's mind is security. To ensure this security mechanisms IDS(Intrusion Detection System) comes into picture. This technology is an important aspect in the process of designing a environment which is secure. The main aim of this technology is to detect suspicious attack and collect or generate the alerts. The IDS which are existing e.g. firewalls, snort creates large number of alerts. Due to large number of alerts there are many chances of system admin getting confused that which action should be performed on which attack. This results into delay in decision making. This paper aims to meta-alert generation by aggregating alerts. Meta-alerts can be easily understood by system admin/network administrator and supportive action can be easily performed. Generative Data stream modeling approach can be used to generate meta-alerts.

Last modified: 2016-02-08 16:38:05