An Enhanced and Secure Trust-Aware Improved GSO for Encrypted Data Sharing in the Internet of Things

被引:8
作者
Selvaraj, Prabha [1 ]
Burugari, Vijay Kumar [2 ]
Gopikrishnan, S. [1 ]
Alourani, Abdullah [3 ]
Srivastava, Gautam [4 ,5 ,6 ]
Baza, Mohamed [7 ]
机构
[1] VIT AP Univ, Sch Comp Sci & Engn, Amaravati 522237, Andhra Pradesh, India
[2] Koneru Lakshmaiah Educ Fdn, Dept Comp Sci & Engn, Vaddeswaram 522302, Andhra Pradesh, India
[3] Majmaah Univ, Dept Comp Sci & Informat, Coll Sci Zulfi, Al Majmaah 11952, Saudi Arabia
[4] Brandon Univ, Dept Math & Comp Sci, Brandon, MB R7A 6A9, Canada
[5] China Med Univ, Res Ctr Interneural Comp, Taichung 40402, Taiwan
[6] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut 1102, Lebanon
[7] Coll Charleston, Dept Comp Sci, Charleston, SC 29424 USA
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 02期
关键词
security; encryption; cyber-physical systems; GSO; Internet of Things; WIRELESS SENSOR NETWORKS; ROUTING PROTOCOL; ENERGY; ALGORITHM;
D O I
10.3390/app13020831
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Wireless sensors and actuator networks (WSNs) are the physical layer implementation used for many smart applications in this decade in the form of the Internet of Things (IoT) and cyber-physical systems (CPS). Even though many research concerns in WSNs have been answered, the evolution of the WSN into an IoT network has exposed it to many new technical issues, including data security, multi-sensory multi-communication capabilities, energy utilization, and the age of information. Cluster-based data collecting in the Internet of Things has the potential to address concerns with data freshness and energy efficiency. However, it may not offer reliable network data security. This research presents an improved method for data sharing and cluster head (CH) selection using the hybrid Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method in conjunction with glowworm swarm optimization (GSO) strategies based on the energy, trust value, bandwidth, and memory to address this security-enabled, cluster-based data aggregation in the IoT. Next, we aggregate the data after the cluster has been built using a genetic algorithm (GA). After aggregation, the data are encrypted and delivered securely using the TIGSO-EDS architecture. Cuckoo search is used to analyze the data and choose the best route for sending them. The proposed model's analysis of the results is analyzed, and its uniqueness has been demonstrated via comparison with existing models. TIGSO-EDS reduces energy consumption each round by 12.71-19.96% and increases the percentage of successfully delivered data packets from 2.50% to 5.66%.
引用
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页数:16
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