An Improved Model for Securing Ambient Home Network against Spoofing Attack

Akinboro, Solomon and Omotosho, Adebayo and Odusami, Modupe (2018) An Improved Model for Securing Ambient Home Network against Spoofing Attack. International Journal Computer Network and Information Security, 10 (2). pp. 20-26. ISSN 2074-9104

Text Adebayo Omotosho An Improved Model for Securing Ambient Home Network against Spoofing Attack.pdf Download (483kB)

Abstract

Mobile Ad hoc Networks (MANET) are prone to malicious attacks and intermediate nodes on the home network may spoof the packets being transmitted before reaching the destination. This study implements an enhanced Steganography Adaptive Neuro-Fuzzy Algorithm (SANFA) technique for securing the ambient home network against spoofing attacks. Hybrid techniques that comprises image steganography, adaptive neuro-fuzzy and transposition cipher were used for the model development. Two variants of the model: SANFA and transpose SANFA were compared using precision and convergence time as performance metrics. The simulation results showed that the transpose SANFA has lower percentage of precision transmitting in a smaller network and a higher percentage of precision transmitting in a larger network. The convergence time result showed that packet transmitted in a smaller network size took longer time to converge while packet transmitted in a larger network size took shorter period to converge.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Dr Adebayo Omotosho
Date Deposited:	30 Nov 2018 11:00
Last Modified:	30 Nov 2018 11:00
URI:	https://eprints.lmu.edu.ng/id/eprint/1454

Actions (login required)

View Item