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The authors utilize an unsupervised clustering approach that is used to categorize the data based on domain similarity to handle non-series data and another approach is based on autocorrelation function to handle series data. The approach is consumed in single architecture where it carries data as input from both host-based intrusion detection systems and network-based intrusion detection systems. The result shows that the hybrid intrusion detection system is categorizing data based on the optimal number of clusters obtained through the elbow method in clustering.<\/p>","DOI":"10.4018\/ijoci.2022010102","type":"journal-article","created":{"date-parts":[[2021,11,5]],"date-time":"2021-11-05T16:41:13Z","timestamp":1636130473000},"page":"1-18","source":"Crossref","is-referenced-by-count":2,"title":["A Hybrid Classification Technique for Enhancing the Effectiveness of Intrusion Detection Systems Using Machine Learning"],"prefix":"10.4018","volume":"12","author":[{"given":"Kapil","family":"Kumar","sequence":"first","affiliation":[{"name":"Guru Gobind Singh Indraprastha University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arvind","family":"Kumar","sequence":"additional","affiliation":[{"name":"Netaji Subhas University of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vimal","family":"Kumar","sequence":"additional","affiliation":[{"name":"MIET, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sunil","family":"Kumar","sequence":"additional","affiliation":[{"name":"MIET, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJOCI.2022010102-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113249"},{"key":"IJOCI.2022010102-1","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2019.0100574"},{"key":"IJOCI.2022010102-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2019.102031"},{"key":"IJOCI.2022010102-3","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-7998-2460-2.ch053"},{"key":"IJOCI.2022010102-4","doi-asserted-by":"publisher","DOI":"10.1109\/SISY.2017.8080566"},{"key":"IJOCI.2022010102-5","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9024726"},{"key":"IJOCI.2022010102-6","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2016.0040"},{"key":"IJOCI.2022010102-7","unstructured":"Arthur, D., & Vassilvitskii, S. 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