Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model
المؤلفون المشاركون
Li, Yuchong
Luo, Xingguo
Qian, Yekui
Zhao, Xin
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-26، 26ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-31
دولة النشر
مصر
عدد الصفحات
26
التخصصات الرئيسية
الملخص EN
Network anomaly detection and localization are of great significance to network security.
Compared with the traditional methods of host computer, single link and single path, the network-wide anomaly detection approaches have distinctive advantages with respect to detection precision and range.
However, when facing the actual problems of noise interference or data loss, the network-wide anomaly detection approaches also suffer significant performance reduction or may even become unavailable.
Besides, researches on anomaly localization are rare.
In order to solve the mentioned problems, this paper presents a robust multivariate probabilistic calibration model for network-wide anomaly detection and localization.
It applies the latent variable probability theory with multivariate t-distribution to establish the normal traffic model.
Not only does the algorithm implement network anomaly detection by judging whether the sample’s Mahalanobis distance exceeds the threshold, but also it locates anomalies by contribution analysis.
Both theoretical analysis and experimental results demonstrate its robustness and wider use.
The algorithm is applicable when dealing with both data integrity and loss.
It also has a stronger resistance over noise interference and lower sensitivity to the change of parameters, all of which indicate its performance stability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Yuchong& Luo, Xingguo& Qian, Yekui& Zhao, Xin. 2015. Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-26.
https://search.emarefa.net/detail/BIM-1075075
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Yuchong…[et al.]. Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model. Mathematical Problems in Engineering No. 2015 (2015), pp.1-26.
https://search.emarefa.net/detail/BIM-1075075
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Yuchong& Luo, Xingguo& Qian, Yekui& Zhao, Xin. Network-Wide Traffic Anomaly Detection and Localization Based on Robust Multivariate Probabilistic Calibration Model. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-26.
https://search.emarefa.net/detail/BIM-1075075
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1075075
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