A lightweight anomaly detection system for information appliances

Midori Sugaya, Yuki Ohno, Andrej Van Der Zee, Tatsuo Nakajima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, a novel lightweight anomaly and fault detection infrastructure called Anomaly Detection by ResourceMonitoring (Ayaka) is presented for Information Appliances. Ayaka provides a general monitoring method for detecting anomalies using only resource usage information on systems independent of its domain, target application, and programming languages. Ayaka modifies the kernel to detect faults and uses a completely application black-box approach based on machine learning methods. It uses the clustering method to quantize the resource usage vector data and learn the normal patterns with a hidden Markov Model. In the running phase, Ayaka finds anomalies by comparing the application resource usage with the learned model. The evaluation experiment indicates that our prototype system is able to detect anomalies, such as SQL injection and buffer overrun, without significant overheads.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2009
Pages257-266
Number of pages10
DOIs
Publication statusPublished - 2009 Nov 6
Event2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2009 - Tokyo, Japan
Duration: 2009 Mar 172009 Mar 20

Publication series

NameProceedings of the 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2009

Conference

Conference2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2009
CountryJapan
CityTokyo
Period09/3/1709/3/20

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • Cite this

    Sugaya, M., Ohno, Y., Van Der Zee, A., & Nakajima, T. (2009). A lightweight anomaly detection system for information appliances. In Proceedings of the 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2009 (pp. 257-266). [5232002] (Proceedings of the 2009 IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2009). https://doi.org/10.1109/ISORC.2009.39