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Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment
المؤلفون المشاركون
Leung, Victor
Wang, Shangguang
Peng, Kai
Zheng, Lixin
Huang, Chao
Lin, Tao
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-06
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Fog computing, as the supplement of cloud computing, can provide low-latency services between mobile users and the cloud.
However, fog devices may encounter security challenges as a result of the fog nodes being close to the end users and having limited computing ability.
Traditional network attacks may destroy the system of fog nodes.
Intrusion detection system (IDS) is a proactive security protection technology and can be used in the fog environment.
Although IDS in tradition network has been well investigated, unfortunately directly using them in the fog environment may be inappropriate.
Fog nodes produce massive amounts of data at all times, and, thus, enabling an IDS system over big data in the fog environment is of paramount importance.
In this study, we propose an IDS system based on decision tree.
Firstly, we propose a preprocessing algorithm to digitize the strings in the given dataset and then normalize the whole data, to ensure the quality of the input data so as to improve the efficiency of detection.
Secondly, we use decision tree method for our IDS system, and then we compare this method with Naïve Bayesian method as well as KNN method.
Both the 10% dataset and the full dataset are tested.
Our proposed method not only completely detects four kinds of attacks but also enables the detection of twenty-two kinds of attacks.
The experimental results show that our IDS system is effective and precise.
Above all, our IDS system can be used in fog computing environment over big data.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Peng, Kai& Leung, Victor& Zheng, Lixin& Wang, Shangguang& Huang, Chao& Lin, Tao. 2018. Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1216042
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Peng, Kai…[et al.]. Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1216042
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Peng, Kai& Leung, Victor& Zheng, Lixin& Wang, Shangguang& Huang, Chao& Lin, Tao. Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1216042
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1216042
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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