TELKOMNIKA Telecommunication, Computing, Electronics and Control
Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities
Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities
Subject
Internet of things, Intrusion detection system, Mobile ad-hoc networks, Multiple fusion sensors, Wireless advertising
Description
Smart cities wireless advertising (smart mobile-AD) filed is one of
the well-known area of research where smart devices using mobile ad hoc networks (MANET) platform for advertisement and marketing purposes. Wireless advertising through multiple fusion internet of things (IoT) sensors is one of the important field where the sensors combines multiple sensors information and accomplish the control of self-governing intelligent machines for smart cities advertising framework. With many advantages, this field has suffered with data security. In order to tackle security threats, intrusion detection system (IDS) is adopted. However, the existing IDS system are not able to fulfill the security requirements. This paper proposes an intellectual characteristic selection algorithm (ICSA) integrated with normalized intelligent genetic algorithm-based min-max feature selection (NIGA-MFS). The proposed solution designs for wireless advertising system for business/advertising data security and other transactions using independent reconfigurable architecture. This approach supports the wireless advertising portals to manage the data delivery by using 4G standard. The proposed reconfigurable architecture is validated by using applications specific to
microcontrollers with multiple fusion IoT sensors.
the well-known area of research where smart devices using mobile ad hoc networks (MANET) platform for advertisement and marketing purposes. Wireless advertising through multiple fusion internet of things (IoT) sensors is one of the important field where the sensors combines multiple sensors information and accomplish the control of self-governing intelligent machines for smart cities advertising framework. With many advantages, this field has suffered with data security. In order to tackle security threats, intrusion detection system (IDS) is adopted. However, the existing IDS system are not able to fulfill the security requirements. This paper proposes an intellectual characteristic selection algorithm (ICSA) integrated with normalized intelligent genetic algorithm-based min-max feature selection (NIGA-MFS). The proposed solution designs for wireless advertising system for business/advertising data security and other transactions using independent reconfigurable architecture. This approach supports the wireless advertising portals to manage the data delivery by using 4G standard. The proposed reconfigurable architecture is validated by using applications specific to
microcontrollers with multiple fusion IoT sensors.
Creator
Yousra Abdul Alsahib S. Aldeen, Haider Mohammed Abdulhadi
Source
DOI: 10.12928/TELKOMNIKA.v18i5.14859
Publisher
Universitas Ahmad Dahlan
Date
October 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Yousra Abdul Alsahib S. Aldeen, Haider Mohammed Abdulhadi, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/4078.
Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/4078.