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This paper discusses different security threats in CC and suggests a solution by designing a network security analysis scheme with machine learning (NSA-ML). The ML classifier predicts the network vulnerabilities and prevents insecure communication in a CC environment. The proposed NSA-ML presents a data authentication scheme with a novel encryption methodology to ensure data security. The experimental results show that the proposed NSA-ML outperforms the existing cloud security approaches by gaining an efficiency of 95.4%.<\/jats:p>","DOI":"10.1142\/s1793962322500544","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T12:45:50Z","timestamp":1648557950000},"source":"Crossref","is-referenced-by-count":4,"title":["Network security analysis for cloud computing environment"],"prefix":"10.1142","volume":"13","author":[{"given":"Linjiang","family":"Xie","sequence":"first","affiliation":[{"name":"Information Center of Yunnan Power Grid Co., Ltd, Kunming, Yunnan 650000, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feilu","family":"Hang","sequence":"additional","affiliation":[{"name":"Information Center of Yunnan Power Grid Co., Ltd, Kunming, Yunnan 650000, P. R. 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