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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Feature Selection Technique Impact for Internet Traffic Classification Using Naïve Bayesian |
| Authors Name: | Satish Chadokar , Ashish Kumbhare |
| Unique Id: | IJSDR1707029 |
| Published In: | Volume 2 Issue 7, July-2017 |
| Abstract: | Internet traffic defines as the density of data or information presented on the Internet or in another language we can say it’s a flow of data on the internet. Internet traffic classification has power to solve many network difficulties and manage different type of network problems. There are some basic functions provided to government, Internet service providers (ISPs) and network administrator through Internet traffic classification. It can be used for intrusion detection system by finding patterns of denial of service (Dos) and other attacks. It can be used for intrusion detection system by finding patterns of denial of service (Dos) and other attacks. It can help to ISPs to monitor network traffic flow and troubleshoot the faults and other problems, it can also be used in “lawful inspection” of the payload of a packet by government to obtain users information. |
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| Cite Article: | "Feature Selection Technique Impact for Internet Traffic Classification Using Naïve Bayesian", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.196 - 204, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707029.pdf |
| Downloads: | 000337212 |
| Publication Details: | Published Paper ID: IJSDR1707029 Registration ID:170629 Published In: Volume 2 Issue 7, July-2017 DOI (Digital Object Identifier): Page No: 196 - 204 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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