An Anomaly Detection on the Application-Layer-Based QoS in the Cloud Storage System

Dezhi Han1, Kun Bi1, Bolin Xie2, Lili Huang1 and Ruijun Wang3

  1. College of Information Engineering, Shanghai Maritime University
    Shanghai 201306, China
    dezhihan88@sina.com, kunbi@shmtu.edu.cn, 1710941959@qq.com
  2. College of information, Guangdong University of Foreign Studies
    Guangzhou 510420, China
    blxie@sina.com
  3. College of Electrical Engineering and Computer Science, University of Central Florida
    Orlando, USA 48126
    ruijunxx@gmail.com

Abstract

Attacks based on the application layer of the cloud storage system have been dramatically increasing nowadays. However, the present detection studies of attacks are mainly focused on the network and transmission layer instead of the application layer. In this paper, we proposed an anomaly attack detection method based on the hidden semi-Markov model (HsMM) to secure the cloud storage system from the application-layer-based attacks. In this proposed method, observation serials are constituted by the time intervals between the I/O requests made by normal users and their characterization using the hidden semi-Markov model based on each protocol for application layer. By applying this technique in the cloud storage system, it is able to effectively detect and correct their abnormal behaviors. In addition, to ensure the QoS(Quality of Service), a Priority Queuing and flow controlling module is proposed in this paper, which can allocate more I/O bandwidths and resources to normal users. Besides, the experimental results have shown that the proposed method can describe such normal I/O behaviors of users based on each protocol for the application layer in the cloud storage system with 99.2% higher detection ratio and 0.7% lower false positive ratio when detecting abnormal behaviors of users, and it can ensure the QoS for normal uses.

Key words

cloud storage system, application layer anomaly detection, quality of service for I/O request, hidden semi-Markov model

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS160201021H

Publication information

Volume 13, Issue 2 (June 2016)
Year of Publication: 2016
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Han, D., Bi, K., Xie, B., Huang, L., Wang, R.: An Anomaly Detection on the Application-Layer-Based QoS in the Cloud Storage System. Computer Science and Information Systems, Vol. 13, No. 2, 659–676. (2016)