Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN
المؤلفون المشاركون
Bai, Hongying
Zhang, Xiaotong
Liu, Fangjie
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-02
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Intrusion detection system (IDS) is a second line of the security mechanism for the wireless sensor network (WSN), and it has a great influence on confidentiality, integrity, and availability.
However, many existing IDS only detect single attack or multiple known attacks.
In this paper, a novel intrusion detection algorithm based on change rates of multiple attributes (CRMA) is proposed, which can detect multiple attacks including known and unknown types simultaneously.
The change rates of multiple attributes for sensor nodes usually reflect the running states of WSN over a period of time.
First, the Observed Change Rate of attributes at different times is obtained by observing multiple attributes of different sensor nodes.
Then, the convex optimization is alternately used to obtain the Normal Change Rate and corresponding weights by minimizing the distance between the Observed Change Rate and the Normal Change Rate of each attribute.
Finally, the WSN is considered to be attacked when the weighted deviation of the Observed Change Rate and Normal Change Rate is beyond the corresponding threshold.
Experimental results show that the CRMA can detect multiple attacks including known and unknown types simultaneously and has a fast convergence rate.
The average true positive rates (TPR) of CRMA are high, and the average false positive rates (FPR) of CRMA are low.
The detection performance of CRMA is superior to that of the ARMA and NeTMids algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bai, Hongying& Zhang, Xiaotong& Liu, Fangjie. 2020. Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214946
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bai, Hongying…[et al.]. Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1214946
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bai, Hongying& Zhang, Xiaotong& Liu, Fangjie. Intrusion Detection Algorithm Based on Change Rates of Multiple Attributes for WSN. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214946
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214946
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر