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CANN could not address R2L and U2R attacks and have completely failed by showing these attack accuracies almost zero. Following CANN, the CLAPP approach has shown better classifier accuracies when compared to classifiers kNN, and SVM. This research aims at improving the accuracy achieved by CLAPP, CANN, and kNN. Experimental results show accuracies obtained using proposed approach is better when compared to other existing approaches. In particular, the detection of U2R and R2L attacks to user accuracies are recorded to be very much promising.<\/jats:p>","DOI":"10.4018\/ijitwe.2019100102","type":"journal-article","created":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T08:38:04Z","timestamp":1565167084000},"page":"19-49","source":"Crossref","is-referenced-by-count":13,"title":["An Evolutionary Feature Clustering Approach for Anomaly Detection Using Improved Fuzzy Membership Function"],"prefix":"10.4018","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7677-6823","authenticated-orcid":true,"given":"Gunupudi Rajesh","family":"Kumar","sequence":"first","affiliation":[{"name":"VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Narsimha","family":"Gugulothu","sequence":"additional","affiliation":[{"name":"JNTUH, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mangathayaru","family":"Nimmala","sequence":"additional","affiliation":[{"name":"VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJITWE.2019100102-0","unstructured":"Aaron, H. 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