Automatic Neural Network-Based Network Analyzer for Hot Spot Area

After about three months, we’ve just finished the Automatic Neural Network-Based Network Analyzer for Hot Spot Area. We created it by Matlab program and by other softwares such us Wireshark (http://www.wireshark.org) and Quick Screenshot Capture.

This system works simple by analyzing the image (with Artificial Neural Network Algorithm) from network traffic graph of wireshark that has captured periodically by Quick Screenshot Capture (or other application that available in the market). The resume will cluster the network by three cluster: Normal Condition, High Traffic Condition and Unnormal Condition. The unnormal condition may be happen if the viruses or DOS attacks threat our Hot Spot. Here is the demonstration of our application.

instead of for Network Analyzer, this system can be implemented for analyzing surveillance by using web cam or other devices.

Tentang rahmadya

I'm a simple man .. Lahir di Sleman Yogyakarta, 7 Juni 1976 PENDIDIKAN: TK : - (tidak ada TK di tj Priok waktu itu) SDN : Papanggo, Jakarta 83 - 89 SMPN : 129, Jakarta 89 - 92 SMAN : 8, Yogyakarta 92 - 95 Univ. : Fak. Teknik UGM, Yogyakarta 95 - 2001 Pasca. : Tek. Informatika STMIK Nusa Mandiri, Jakarta 2008 - 2010 Doctoral : Information Management Asian Institute of Technology, Thailand 2013 - 2018 PEKERJAAN: Tek. Komputer AMIK BSI Jakarta : 2002 - 2005 IT Danamon Jakarta : 2005 - 2008 Tek. Informatika STMIK Nusa Mandiri Jakarta : 2005 - 2008 Univ. Darma Persada Jakarta: 2008 - 2013 Fakultas Teknik Universitas Islam "45" Bekasi : 2008 - Skrg ( Homebase) Univ. Bhayangkara Jakarta Raya: 2018 - Skrg Univ. Nusa Putra Sukabumi: 2018 - Skrg
Pos ini dipublikasikan di Artificial Neural Network, Fuzzy Logic, Matlab. Tandai permalink.

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