Anomaly Extraction in Backbone Networks Using Association Rules
نویسندگان
چکیده
منابع مشابه
Anomaly detection using fuzzy association rules
Data mining techniques are a very important tool for extracting useful knowledge from databases. Recently, some approaches have been developed for mining novel kinds of useful information, such as anomalous rules. These kinds of rules are a good technique for the recognition of normal and anomalous behaviour, that can be of interest in several area domains such as security systems, financial da...
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Today network security, uptime and performance of network are important and serious issue in computer network. Anomaly is deviation from normal behavior which is factor that affects on network security. So Anomaly Extraction which detects and extracts anomalous flow from network is requirement of network operator. Anomaly extraction refers to automatically finding in a large set of flows observ...
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چکیده رساله/پایان نامه : تاکنون روشهای متعددی در ارتباط با مکان یابی خطا در شبکه انتقال ارائه شده است. استفاده مستقیم از این روشها در شبکه توزیع به دلایلی همچون وجود انشعابهای متعدد، غیر یکنواختی فیدرها (خطوط کابلی، خطوط هوایی، سطح مقطع متفاوت انشعاب ها و تنه اصلی فیدر)، نامتعادلی (عدم جابجا شدگی خطوط، بارهای تکفاز و سه فاز)، ثابت نبودن بار و اندازه گیری مقادیر ولتاژ و جریان فقط در ابتدای...
Operational experiences with anomaly detection in backbone networks
Although network security is a crucial aspect for network operators, there are still very few works that have examined the anomalies present in large backbone networks and evaluated the performance of existing anomaly detection solutions in operational environments. The objective of this work is to fill this gap by reporting hands-on experience in the evaluation and deployment of an anomaly det...
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ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Networking
سال: 2012
ISSN: 1063-6692,1558-2566
DOI: 10.1109/tnet.2012.2187306