Summary
Asia-Pacific Network Operations and Management Symposium
2022
Session Number:PS4
Session:
Number:PS4-01
Rule-based User Behavior Detection System for SaaS Application
Jee-Tae Park, Min-Seong Lee, Ui-Jun Baek, Chang-Yui Shin, Myung-Sup Kim,
pp.-
Publication Date:2022/09/28
Online ISSN:2188-5079
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Summary:
SaaS is a cloud-based application service that allows users to use applications that work in a cloud environment. SaaS is a subscription type, and the service expenditure varies depending on the license, the number of users, and duration of use. For efficient network management, security and cost management, accurate detection of user behavior for SaaS applications is required. In this paper, we propose a rule-based traffic analysis method for the user behavior detection. We conduct comparative experiments with signature-based method by using the real SaaS application and demonstrate the validity of the proposed method.