Secure Data Processing System Using Decision Tree Architecture

T. M. Nived (), Juhi Jyotsna Tiru (), N. Jayapandian () and K. Balachandran ()
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T. M. Nived: CHRIST (Deemed to be University), Department of Computer Science and Engineering
Juhi Jyotsna Tiru: CHRIST (Deemed to be University), Department of Computer Science and Engineering
N. Jayapandian: CHRIST (Deemed to be University), Department of Computer Science and Engineering
K. Balachandran: CHRIST (Deemed to be University), Department of Computer Science and Engineering

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 173-180 from Springer

Abstract: Abstract The recent cloud computing sector has introduced multiple cloud service provider, which provides cloud storage to the consumers through a wireless or device less method of storing data. However, it has been difficult for the consumers to choose providers who are more secured and cheaper at the same time. Recently, there have been lot of security issues found in cloud storages by different consumers and their respective providers. However, calculating the security issues and security level for any provider plays a crucial role for the consumer to select the cloud service. It has been found that data breaching is the most common security issue faced by cloud storages which has swayed to the concept of cloud computing technology. This paper suggests a method to detect data breaching in any cloud service which can detect the breach with the help of a decision making tree. This decision making tree will have many constraints which include from the password to the location of access. Once a breaching is detected it will take further steps with terminating the connection. The tree based method is exploited. It can be measure and find all the practicable attack structure. This is the main concept of data breach on any particular cloud service and will help in reducing the growing rate of this attack.

Keywords: Cloud service provider; Data security; Decision tree; Information security; Security; Threat (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-41862-5_16

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