Statistical Modeling for Network Intrusion Detection System: A Review
Author(s):
Pratibha , BCET ,Durg (C.G.); Leelkanth Dewangan, BCET ,Durg (C.G.)
Keywords:
TPR, FNR, ML, NIDS
Abstract:
The Network Intrusion Detection System (NIDS) is progression of observing the measures befalling in a network and investigating them for emblems of possible occurrences. Network security is off vital significance because present data communication is vulnerable to security threats. Machine learning is the emerging field in the various field of computer science. In this paper we will deliberate different methods meant for network intrusion detection, some of them are based on statistical modeling. Most of the researcher uses KDD99 dataset for experimental evaluation. Further in this paper numerous approach are compared based on the value of TPR (True Positive Rate) and FNR (False Negative Rate).
Other Details:
| Manuscript Id | : | IJSTEV4I11028
|
| Published in | : | Volume : 4, Issue : 11
|
| Publication Date | : | 01/06/2018
|
| Page(s) | : | 56-61
|
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