توضیحات
ABSTRACT
Big data analysis has become much popular in the present day scenario and the manipulation of big data has gained the keen attention of researchers in the field of data analytics. Analysis of big data is currently considered as an integral part of many computational and statistical departments. As a result, novel approaches in data analysis are evolving on a daily basis.Thousands of transaction requests are handled and processed everyday by different websites associated with e-commerce, e-banking, e-shopping carts etc. The network traffic and weblog analysis comes to play a crucial role in such situations where Hadoop can be suggested as an efficient solution for processing the Netflow data collected from switches as well as website access-logs during fixed intervals
INTRODUCTION
The network protocol designed by Cisco Systems for assembling network traffic information named as NetFlow has become an industry standard for monitoring traffic and is supported by various platforms. Cisco standard NetFlow version 5 defines network flow as a unidirectional sequence of packets which has got seven parameters
Ingress interface (SNMP ifIndex)
Source IP address
Destination IP address
IP protocol
Source port for UDP or TCP, 0 for other protocols
Destination port for UDP or TCP, type and code for ICMP, or 0 for other protocols
IP Type of Service
For limiting the load on the router components and the amount of flow records exported, Netflow is normally enabled on a per-interface basis. If IP filters are not used to decide if a packet can be captured by NetFlow, it will capture all packets received by an ingress interface by default
Year : 2013
By : Anjali P P and Binu A
File Information : English language/ 7 Page/Size : 155 K
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سال : 2013
کاری از :Anjali P P and Binu A
اطلاعات فایل :زبان انگلیسی /7 صفحه /حجم : 155 K
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