An ANN Based Sequential Detection Method for Balancing Performance Indicators of IDS

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

Abstract

In recent years, the number of cyber attacks has been increasing rapidly and network security has become an important issue. As a vital component of defense against network threats, intrusion detection system (IDS) was introduced and machine learning algorithms have been widely used in such systems for high detection performance. There are several evaluation indices such as false positive rate, false negative rate, and so on. A problem is that these indices are often related to each other. For example, while we try to decrease the false positive rate, the false negative rate often tends to increase, and vice versa. In this study, we proposed an ANN based sequential classifier method to mitigate this problem. Specifically, we try to train ANN to have a low false positive rate, despite which may lead to high false negative rate. Then, the reported negative instances are sent to the next ANN to make a further investigation, where the false negative instances reported at the previous ANN may be classified correctly. In this way, the final false negative rate can also be improved greatly. The results of the experiment shows that the proposed method can bring lower false negative rate and higher accuracy of detection while making the false positive rate at an acceptable level. Moreover, the optimum number of ANNs for our proposal is also investigated and discussed in this study.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages239-244
Number of pages6
ISBN (Electronic)9781728147253
DOIs
Publication statusPublished - Nov 2019
Event7th International Symposium on Computing and Networking, CANDAR 2019 - Nagasaki, Japan
Duration: Nov 26 2019Nov 29 2019

Publication series

NameProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019

Conference

Conference7th International Symposium on Computing and Networking, CANDAR 2019
CountryJapan
CityNagasaki
Period11/26/1911/29/19

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

Cite this

Zhao, H., Feng, Y., Koide, H., & Sakurai, K. (2019). An ANN Based Sequential Detection Method for Balancing Performance Indicators of IDS. In Proceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019 (pp. 239-244). [8958477] (Proceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CANDAR.2019.00039