Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Estimating Virtual Trust of Cognitive Social Heterogeneous and Homogeneous Networks empowered with Hierarchal Socio Fuzzy Inference System

Authors
Tariq, AyeshaSiddiquil, Shahan YaminSafdar, GulnazNasir, Syeda Fareeha BatoolSaleem, Muhammad RehanAli, WaqasShoaib, BilalKhan, Muhammad Adnan
Issue Date
Jun-2020
Publisher
INT JOURNAL COMPUTER SCIENCE & NETWORK SECURITY-IJCSNS
Keywords
HetNet; HomNet; Trust; Cognitive nodes; malicious activity; Socio FIS
Citation
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, v.20, no.6, pp.48 - 64
Journal Title
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY
Volume
20
Number
6
Start Page
48
End Page
64
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81142
ISSN
1738-7906
Abstract
These days, Mobile Ad-hoc Network categorizes (MANET) are increasingly defenseless against different kinds of assaults because of shaky correspondence medium and framework less condition. Societal network for multi Heterogeneous Networks (HetNet) and Homogeneous Networks (HomNet) can support practically and pragmatically grounded considerate of the activities as well as the network's role in the system. A node may share and store information of its own HomNet or HetNet to another network environment. To implement a secure network setup for communication, in harmony with demanded information is important to select a suitable receiver. In this type of situation cognitive sensations such as trust plays a dynamic part. This paper represents a trust-based hierarchal socio fuzzy inference by combining social association to examine cognitive nodes for their parts as being persuasive, dependable, and credible. The proposed model adopts the MATLAB simulation the inputs and optimizing results show concurrency to the calculated values according to the Mamdani fuzzy inference system.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Khan, Muhammad Adnan photo

Khan, Muhammad Adnan
College of IT Convergence (Department of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE