NDLI: Anomaly detection and traffic shaping under self-similar aggregated traffic in optical switched networks

Content Provider	IEEE Xplore Digital Library
Author	Wei Yan Hou, E. Ansari, N.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA (Wei Yan; Hou, E.; Ansari, N.)
Abstract	The study in traffic analysis has shown that modern network produces traffic streams that are self-similar over several times scales from microseconds to minutes. Simulations studies have demonstrated that self-similarity leads to a larger queueing delays and higher drop rates than the Markovian short range dependence (SRD) traffic. At the same time, the dynamic expansion of applications on modern network gives rise to a fundamental challenge for network monitoring and security. Therefore, it is critical to reduce the degree of second order scaling for better network performance and detects traffic anomalies efficiently. In this paper, we propose an approach, which can capture the traffic anomalies and decrease the degree of long range dependence at the conjunction of the optical packet switching backbone network. In this method, a traffic shaping technique is proposed and a reference model is generated based on the well-behaving traffic anomaly detection. Further, we apply the compensation bursty parameter for smoothing the deviation error caused by burstiness difference existing in the traffic data sets. The simulation results show that our work can decrease the degree of self-similarity and detect the anomaly-behaving traffic efficiently.
Sponsorship	China Inst. Commun. (CIC) Chinese Inst. Electron. (CIE)
Starting Page	378
Ending Page	381
File Size	378024
Page Count	4
File Format	PDF
ISBN	7563506861
DOI	10.1109/ICCT.2003.1209102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	China Institute of Communications(CIC)
Subject Keyword	Telecommunication traffic Intelligent networks Optical fiber networks Traffic control Optical packet switching Computer networks Modems Monitoring Optical computing Computational modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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