Iot Network Intrusion Alarming System Using Bat Algorithm & Neural Network.
The scope of IoT networks has expanded drastically in the modern digital environment. Connectivity along with use of the internet, particularly in the form of data collection and exchange, is a primary characteristic of devices in an IoT network. This paper has developed a (Bat IOT Network Intrusion...
| Publicado en: | Journal of Namibian Studies Vol. 33; pp. 4845 - 4861 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Society of Cultural Studies & Social Sciences
2023 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=172998520&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172998520 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 18635954 G5EZ jtl: Journal of Namibian Studies issn: 18635954 maglogo: N pubinfo: dt: 2023 Supplement vid: 33 pid: 92471 pub: Society of Cultural Studies & Social Sciences artinfo: ui: 172998520 ppf: 4845 ppct: 16 formats: tig: atl: Iot Network Intrusion Alarming System Using Bat Algorithm & Neural Network. aug: au: Chaudhary, Diwakar Kumar Yadav, Pritaj Jha, Kanchan affil: Computer Science and Engineering, Ravindranath Tagore University, Bhopal, India. School of Advance Computing, Sanjeev Agrawal Educational Global University, Bhopal, India. su: Electronic alarm systems Internet of things Algorithms Digital technology Bats Memetics Roosting sug: subj: Electronic alarm systems Internet of things Algorithms Digital technology Bats Memetics Roosting keyword: Deep Learning Feature Optimization Genetic Algorithm Intrusion Detection Soft Computing ab: The scope of IoT networks has expanded drastically in the modern digital environment. Connectivity along with use of the internet, particularly in the form of data collection and exchange, is a primary characteristic of devices in an IoT network. This paper has developed a (Bat IOT Network Intrusion Detection System (BINIDS) that alarms for the intrusion in the IOT network. Paper has work on the input dataset for improving the learning of neural network. Dataset optimization was done by BAT algorithm. Input features were cluster into two category selected and rejected. All selected features were processed to train the neural network. Experiment was done on real IOT dataset under different testing size. Result shows that proposed model has improved the work performance. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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