How Machine Learning Technique Can Help Cloud Database System- TutorsIndia.com
Cloud computing technique has been gaining popularity because of its different features such as on demand service and scalability (Gonzales et al., 2015). Cloud has been widely employed for storing data and other computation intensive applications due to which issues such as data security and privacy have become of primary concern (Andrew et al., 2019). While data security is associated with data confidentiality, availability and integrity, data privacy is for hiding the identity of data on cloud (Chen & Zhao, 2012). The security issues associated with data prevail on the cloud until the data is destroyed or removed from cloud. Threats to Cloud Computing Some of the most common threats or challenges associated with cloud computing are as follows (Aldossary & Allen, 2016): u2022 Data loss u2022 Data breach u2022 Malicious insiders u2022 Insecure interfaces and APIs u2022 Account or service hijacking u2022 Data location denial of service The machine learning algorithms used for data security on cloud are classified into two categories: supervised and unsupervised. In case of supervised algorithms, a dataset is first created which belongs to different other classes which have a certain identity. On the contrary, in unsupervised learning the classes employed are not specifically characterized instead information is arranged automatically. To get the latest updates visit: https://www.tutorsindia.com/blog/ Contact: Website: www.tutorsindia.com Email: info@tutorsindia.com United Kingdom: 44-1143520021 India: 91-4448137070 Whatsapp Number: 91-8754446690
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