AI-assisted bio-inspired algorithm for secure IoT communication networks

The Internet of Things (IoT) is made up of intelligent devices that interact with each other. It allows information to be gathered and shared by these devices. In addition, IoT now has a wide range of life applications such as business, logistics, health monitoring, smart ecosystem, and information...

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Bibliographic Details
Published inCluster computing Vol. 25; no. 3; pp. 1805 - 1816
Main Authors Alroobaea, Roobaea, Arul, Rajakumar, Rubaiee, Saeed, Alharithi, Fahd S., Tariq, Usman, Fan, Xincan
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2022
Springer Nature B.V
Subjects
Algorithms
Artificial intelligence
Authentication
Bias
Blockchain
Building automation
Communication
Communication networks
Communications networks
Computer Communication Networks
Computer Science
Confidentiality
Connectivity
Cryptography
Cybersecurity
Data integrity
Ecological monitoring
Infrastructure
Internet of Things
Network latency
Operating Systems
Processor Architectures
Sensors
Silicones
Simulation
Software
Authorization
Bio-inspired algorithms
Internet of Things
Artificial intelligence
Authentication
Blockchain
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Summary:The Internet of Things (IoT) is made up of intelligent devices that interact with each other. It allows information to be gathered and shared by these devices. In addition, IoT now has a wide range of life applications such as business, logistics, health monitoring, smart ecosystem, and information concerning individuals, social and private environments. Security-related issues involved in such a communication network are drastically increasing day by day. Therefore, existing authentication and authorization concepts must grow along with technological evolution. This paper presents an artificial intelligence (AI)-assisted Bio-inspired algorithm for secure IoT communication networks (AI-BIAS) to improve future communication. The proposed framework is categorized into two sections: First, the Bio-inspired algorithm-assisted blockchain technology for authentication and authorization in the IoT communication network is presented. Further, the Artificial Intelligence algorithm monitors the proposed IoT communication network. The experimental results show that the proposed model enhances the accuracy ratio of 98.3%, average latency of 26 ms, average cost of 25.7%, authentication time 0.04 ms, multistep prediction’s MAPE, and RMSE values are 0.7645 and 0.9878 when compared to other popular methods.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-021-03520-z