Back Propagation Algorithm-Based Intelligent Model for Botnet Detection

Back Propagation Algorithm-Based Intelligent Model for Botnet Detection

The ever-increasing growth of network computers and the internet of things makes botnet recognition become more difficult and it is making it all the more less difficult for intruders and attackers to propagate botnet infections. The unified propagation character of botnet floods warms through diffe...

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Bibliographic Details
Main Authors: Nik Quosthoni, Sunaidi, Ahmed, Abdulghani Ali
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/19619/
http://umpir.ump.edu.my/id/eprint/19619/
http://umpir.ump.edu.my/id/eprint/19619/
http://umpir.ump.edu.my/id/eprint/19619/1/16.%20Back%20Propagation%20Algorithm-Based%20Intelligent%20Model%20for%20Botnet%20Detection1.pdf
id ump-19619
recordtype eprints
spelling ump-196192018-11-12T04:15:29Z http://umpir.ump.edu.my/id/eprint/19619/ Back Propagation Algorithm-Based Intelligent Model for Botnet Detection Nik Quosthoni, Sunaidi Ahmed, Abdulghani Ali QA76 Computer software The ever-increasing growth of network computers and the internet of things makes botnet recognition become more difficult and it is making it all the more less difficult for intruders and attackers to propagate botnet infections. The unified propagation character of botnet floods warms through different botnet environment and clients the network security. To conquer the down sides in determining the botnet, we propose a back-propagation algorithm for botnet recognition. The focus of this study is a proposed back propagation algorithm in for training the sensor leveraging the machine learning techniques, which will keep an eye on attributes of the identified or recognized traffic flow. For every identified attribute recognized, it quickly identifies, which will include nine attributes used and identify it altogether. Every time the traffic is determined, its flow is tracked and weighed against the set of attributes within the feature set for the event of address within the network route. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19619/1/16.%20Back%20Propagation%20Algorithm-Based%20Intelligent%20Model%20for%20Botnet%20Detection1.pdf Nik Quosthoni, Sunaidi and Ahmed, Abdulghani Ali (2018) Back Propagation Algorithm-Based Intelligent Model for Botnet Detection. Advanced Science Letters, 24 (10). pp. 7348-7354. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12940 DOI: 10.1166/asl.2018.12940
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Nik Quosthoni, Sunaidi
Ahmed, Abdulghani Ali
Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
description The ever-increasing growth of network computers and the internet of things makes botnet recognition become more difficult and it is making it all the more less difficult for intruders and attackers to propagate botnet infections. The unified propagation character of botnet floods warms through different botnet environment and clients the network security. To conquer the down sides in determining the botnet, we propose a back-propagation algorithm for botnet recognition. The focus of this study is a proposed back propagation algorithm in for training the sensor leveraging the machine learning techniques, which will keep an eye on attributes of the identified or recognized traffic flow. For every identified attribute recognized, it quickly identifies, which will include nine attributes used and identify it altogether. Every time the traffic is determined, its flow is tracked and weighed against the set of attributes within the feature set for the event of address within the network route.
format Article
author Nik Quosthoni, Sunaidi
Ahmed, Abdulghani Ali
author_facet Nik Quosthoni, Sunaidi
Ahmed, Abdulghani Ali
author_sort Nik Quosthoni, Sunaidi
title Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
title_short Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
title_full Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
title_fullStr Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
title_full_unstemmed Back Propagation Algorithm-Based Intelligent Model for Botnet Detection
title_sort back propagation algorithm-based intelligent model for botnet detection
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19619/
http://umpir.ump.edu.my/id/eprint/19619/
http://umpir.ump.edu.my/id/eprint/19619/
http://umpir.ump.edu.my/id/eprint/19619/1/16.%20Back%20Propagation%20Algorithm-Based%20Intelligent%20Model%20for%20Botnet%20Detection1.pdf
first_indexed 2023-09-18T22:28:04Z
last_indexed 2023-09-18T22:28:04Z
_version_ 1777416100267425792

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