A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)

International Journal of Advanced Pervasive and Ubiquitous Computing,volume 8,No 2 p,16-17.

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Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Oluwatope, A. O., Ojo, B. A., Aderounmu, G. A., Adigun, M. O.
Формат: Сэтгүүл
Хэл сонгох:англи
Хэвлэсэн: International Journal of Advanced Pervasive and Ubiquitous Computing 2023
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Онлайн хандалт:https://ir.oauife.edu.ng/123456789/5362
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author Oluwatope, A. O.
Ojo, B. A.
Aderounmu, G. A.
Adigun, M. O.
author_facet Oluwatope, A. O.
Ojo, B. A.
Aderounmu, G. A.
Adigun, M. O.
author_sort Oluwatope, A. O.
collection DSpace
description International Journal of Advanced Pervasive and Ubiquitous Computing,volume 8,No 2 p,16-17.
format Journal
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language English
publishDate 2023
publisher International Journal of Advanced Pervasive and Ubiquitous Computing
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spelling oai:ir.oauife.edu.ng:123456789-53622023-05-13T18:08:06Z A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME) Oluwatope, A. O. Ojo, B. A. Aderounmu, G. A. Adigun, M. O. Ad Hoc Home Network Adaptive Neuro Fuzzy Ambient Device Attacks Trust Management International Journal of Advanced Pervasive and Ubiquitous Computing,volume 8,No 2 p,16-17. This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior. 2023-05-13T16:48:43Z 2023-05-13T16:48:43Z 2016-06 Journal https://ir.oauife.edu.ng/123456789/5362 en application/pdf application/pdf application/pdf application/pdf International Journal of Advanced Pervasive and Ubiquitous Computing
spellingShingle Ad Hoc Home Network
Adaptive Neuro Fuzzy
Ambient
Device Attacks
Trust Management
Oluwatope, A. O.
Ojo, B. A.
Aderounmu, G. A.
Adigun, M. O.
A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)
title A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)
title_full A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)
title_fullStr A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)
title_full_unstemmed A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)
title_short A Memory Optimized Public-Key Crypto Algorithm Using Modified Modular Exponentiation (MME)
title_sort memory optimized public key crypto algorithm using modified modular exponentiation mme
topic Ad Hoc Home Network
Adaptive Neuro Fuzzy
Ambient
Device Attacks
Trust Management
url https://ir.oauife.edu.ng/123456789/5362
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