دانلود رایگان مقاله انگلیسی سیستم تشخیص نفوذ جدید مبتنی بر IABRBFSVM برای شبکه های سنسور بی سیم - الزویر 2018

عنوان فارسی
یک سیستم تشخیص نفوذ جدید مبتنی بر IABRBFSVM برای شبکه های سنسور بی سیم
عنوان انگلیسی
A Novel Intrusion Detection System based on IABRBFSVM for Wireless Sensor Networks
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
9
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E10163
رشته های مرتبط با این مقاله
مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط با این مقاله
امنیت اطلاعات، سامانه های شبکه ای، شبکه های کامپیوتری
مجله
مجله علوم کامپیوتر پروسیدیا - Procedia Computer Science
دانشگاه
College of Communications and Information Engineering - Chongqing University of Posts and Telecommunications - China
کلمات کلیدی
شبکه های حسگر بی سیم؛ سیستم تشخیص نفوذ؛ AdaBoost؛ SVM
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.procs.2018.04.275
چکیده

Abstract


With the rapid development of wireless sensor technology, the application of Wireless Sensor Networks (WSNs) is more and more extensive, and has important military value and broad commercial application prospect. However, due to the limited resources of terminal equipment, wireless communication environment and other reasons, it faces severe security problems. This paper mainly proposes an intrusion detection algorithm based on improved AdaBoost-RBFSVM, and designs an intrusion detection system (IDS) for WSNs denial of service (DoS) attack based on the proposed method. In order to make the RBF-SVM algorithm as the AdaBoost weak classifier, the effect of training is achieved. Using the influence of parameter σ to RBF-SVM and the effect of model training error em on the smoothness of AdaBoost weights, the IABRBFSVM algorithm is proposed. On the other hand, after analyzing the DoS attack, the eigenspace for the attack is proposed, and the corresponding intrusion detection system is designed. Through simulation, the proposed IDS can significantly improve the network performance by detecting and removing malicious nodes in the network, from the perspective of detection rate, packet delivery rate, transmission delay and energy consumption analysis, and has the characteristics of simple structure, short computation time and high detection rate.

نتیجه گیری

Conclusions


In this paper, the IDS based on IABRBFSVM algorithm is proposed, which enables the network system to resist DoS attacks effectively. The experimental results show that the proposed IABRBFSVM-IDS integrated into the system can improve the network performance and make the performance closer to the ideal system. A large number of simulation results show that the proposed IABRBFSVM algorithm has a high detection rate for detecting network attacks in a short time and removing malicious nodes from the system. Future work needs to be focused on other attacks in the network.


بدون دیدگاه