Intrusion Detection in Wireless Sensor Networks with an Improved NSA Based on Space Division
المؤلفون المشاركون
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-24
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
الملخص EN
Inspired by the biological immune system, many researchers apply artificial immune principles to intrusion detection in wireless sensor networks, such as negative selection algorithms, danger theory, and dendritic cell algorithms.
When applying the negative selection algorithm to wireless sensor networks, the characteristics of wireless sensor networks, such as frequent changes in network topology and limited resources, are not considered too much, which makes the detection effect to need improvement.
In this paper, a negative selection algorithm based on spatial partition is proposed and applied to hierarchical wireless sensor networks.
The algorithm first analyzes the distribution of self-set in the real-valued space then divides the real-valued space, and several subspaces are obtained.
Selves are filled into different subspaces.
We implement the negative selection algorithm in the subspace.
The randomly generated candidate detector only needs to be tolerated with selves in the subspace where the detector is located, not all the selves.
This operation reduces the time cost of distance calculation.
In the detection process of detectors, the antigen which is to be detected only needs to match the mature detectors in the subspace where the antigen is located, rather than all the detectors.
This operation speeds up the antigen detection process.
Theoretical analysis and experimental results show that the algorithm has better time efficiency and quality of detectors, saves sensor node resources and reduces the energy consumption, and is an effective algorithm for wireless sensor network intrusion detection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Ruirui& Xiao, Xin. 2019. Intrusion Detection in Wireless Sensor Networks with an Improved NSA Based on Space Division. Journal of Sensors،Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1191304
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Ruirui& Xiao, Xin. Intrusion Detection in Wireless Sensor Networks with an Improved NSA Based on Space Division. Journal of Sensors No. 2019 (2019), pp.1-20.
https://search.emarefa.net/detail/BIM-1191304
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Ruirui& Xiao, Xin. Intrusion Detection in Wireless Sensor Networks with an Improved NSA Based on Space Division. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1191304
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191304
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