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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | REVIEW OF VARIOUS DATA MINING AND MACHINE LEARNING METHOD FOR INTRUSION DETECTION |
| Authors Name: | Prakash Chandra , Prof. Umesh Kumar Lilhore |
| Unique Id: | IJSDR1704047 |
| Published In: | Volume 2 Issue 4, April-2017 |
| Abstract: | Due to rapid growth and development in digital world data are easily available for attackers. Easy availability of data create loops in security, an attacker can access and modified private data of an authorized user. Data Security is a crucial and open issue for researchers. Intrusions detections systems from point of view of security policy are a second line of defense; they have a supervisory role to observe the activities of our network or hosts to identify attacks in real time. In these days,electronics attacks can cause a very destructive damage for nations which make necessary the useofcompletedsecurity policy to minimize the potential threats. IDS it is a very important element to resist against this vulnerability.KDD cup 99, N-KDD Cup and Kyoto data sets are to detect various network based IDS by using different machine learning and data mining methods. In this survey paper we are presenting review of various data mining and machine learning methods for IDS detection used in WEKA tool. Lastly in this survey we tend to explain the mostly used dataset in network security research KDDCUP 99 data sets and alsopresenta complete study of its various components. Finally we conclude our survey with few real research proposals which will be open issues for searchers. |
| Keywords: | Intrusion Detection, Machine Learning, Network Security, WEKA |
| Cite Article: | "REVIEW OF VARIOUS DATA MINING AND MACHINE LEARNING METHOD FOR INTRUSION DETECTION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.274 - 277, April-2017, Available :http://www.ijsdr.org/papers/IJSDR1704047.pdf |
| Downloads: | 000337348 |
| Publication Details: | Published Paper ID: IJSDR1704047 Registration ID:170166 Published In: Volume 2 Issue 4, April-2017 DOI (Digital Object Identifier): Page No: 274 - 277 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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