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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルProceedings - 2019 7th International Symposium on Computing and Networking, CANDAR 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ239-244
ページ数6
ISBN(電子版)9781728147253
DOI
出版ステータス出版済み - 11 2019
イベント7th International Symposium on Computing and Networking, CANDAR 2019 - Nagasaki, 日本
継続期間: 11 26 201911 29 2019

出版物シリーズ

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

会議

会議7th International Symposium on Computing and Networking, CANDAR 2019
国/地域日本
CityNagasaki
Period11/26/1911/29/19

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 信号処理

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