Real-time neural network-based network analyzer for hotspot area

Handayanto, Rahmadya Trias and Haryono, Haryono and Prianggono, Jarot (2011) Real-time neural network-based network analyzer for hotspot area. ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings. 323 – 330.

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Abstract

We present a real-time neural network-based network analyzer system for hotspot area. There are many applications that available in the market today for provide us the network graph of our hotspot areas. These graphs will be analyzed by a network administrator. Because a hotspot area often runs 24 hours, an administrator has a difficulty to monitor the traffic all the time. Therefore we proposed the automatic system to help a network administrator in monitoring the network. This system will replace human skill in interpreting the graph with an Artificial Neural Network System. To minimize the number of input vector we use mean value of axis, so the micro-computer e.g. notebook, laptop, PDA, and other gadgets can handle this system. Testing result showed this system could classify between normal, high and un-normal traffic of network graph periodically. © 2011 Universitas Indonesia.

Item Type:	Article
Additional Information:	Cited by: 5; Conference name: 2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011; Conference date: 17 December 2011 through 18 December 2011; Conference code: 88620
Keywords / Kata Kunci:	Computer science; Information systems; Laptop computers; Artificial Neural Network; Automatic systems; Hot spot; Human skills; Input vector; Mean values; Network administrator; Network analyzer; Network graph; Network-based; Testing results; Neural networks
Subjects:	Jaringan Komputer
Faculty:	Fakultas Teknik > Teknik Komputer D3
Depositing User:	Mr. Pustakawan Fatek
Date Deposited:	07 Dec 2023 14:00
Last Modified:	07 Dec 2023 14:00
URI:	http://repository.unismabekasi.ac.id/id/eprint/4476

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