| COMPARITIVE ANALYSIS OF MACHINE LEARNING ALGORITHM FOR ANOMALY DETECTION: A LITERATURE SURVEY |
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| Author(s): |
| Manohar Vemula, Shaik Balasaidulu |
| ISSN: |
| 2349-6002 |
| Cite This Article: |
COMPARITIVE ANALYSIS OF MACHINE LEARNING ALGORITHM FOR ANOMALY DETECTION: A LITERATURE SURVEY, International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 5 ,Issue 5 ,Page(s):114-117 ,October 2018 ,Available :IJIRT147169_PAPER.pdf |
| Keywords: |
| Intrusion detection, KDD Cup 99 dataset. |
| Abstract |
| Intrusion detection system used to discover illegal and avoidable activities at accessing or manipulating computer system. To improve system correctness and decrease false positive rate based on DARPA 98 and later the updated version which shoes some arithmetic issues, researcher focuses on various dataset. Manu researchers give their efforts to explore the dataset by different techniques. In this paper machine learning based methods which are one of the types of anomaly detection, techniques are discussed. |
| Article Details |
| Unique Paper ID: 147169 Publication Volume & Issue: Volume 5, Issue 5 Page(s): 114 - 117 |
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