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Bio-Inspired Dynamic Trust and Congestion-Aware Zone-Based Secured Internet of Drone Things (SIoDT)
被引:4
|作者:
Jghef, Yousif Sufyan
[1
]
Jasim, Mohammed Jasim Mohammed
[2
]
Ghanimi, Hayder M. A.
[3
]
Algarni, Abeer D.
[4
]
Soliman, Naglaa F.
[4
]
El-Shafai, Walid
[5
,6
]
Zeebaree, Subhi R. M.
[7
]
Alkhayyat, Ahmed
[8
]
Abosinnee, Ali S.
[9
]
Abdulsattar, Nejood Faisal
[10
]
Abbas, Ali Hashim
[10
]
Hariz, Hussein Muhi
[11
]
Abbas, Fatima Hashim
[12
]
机构:
[1] Knowledge Univ Erbil, Coll Engn, Dept Comp Engn, Erbil 44001, Iraq
[2] Al Kitab Univ, Engn Coll, Kirkuk 36001, Iraq
[3] Univ Warith Al Anbiyaa, Coll Engn, Biomed Engn Dept, Karbala 56001, Iraq
[4] Princess Nourah Bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Technol, POB 84428, Riyadh 11671, Saudi Arabia
[5] Menoufia Univ, Fac Elect Engn, Dept Elect & Elect Commun Engn, Menoufia 32952, Egypt
[6] Prince Sultan Univ, Comp Sci Dept, Secur Engn Lab, Riyadh 11586, Saudi Arabia
[7] Duhok Polytech Univ, Tech Coll Engn, Energy Engn Dept, Duhok 42001, Iraq
[8] Islamic Univ, Coll Tech Engn, Najaf 54001, Iraq
[9] Altoosi Univ Coll, Najaf 54001, Iraq
[10] Imam Jaafar Al Sadiq Univ, Coll Informat Technol, Al Muthanna 66002, Iraq
[11] Mazaya Univ Coll, Dept Comp Tech Engn, Dhi Qar 64001, Annasiriyah, Iraq
[12] Al Mustaqbal Univ Coll, Med Labs Tech Dept, Hillah 51001, Iraq
来源:
关键词:
internet of drone things (IoDT);
internet of vehicles (IoV);
dynamic trust estimation;
congestion control;
ACO and GWO;
AD HOC NETWORKS;
LOCATION PRIVACY;
SCHEME;
AUTHENTICATION;
VANETS;
D O I:
10.3390/drones6110337
中图分类号:
TP7 [遥感技术];
学科分类号:
081102 ;
0816 ;
081602 ;
083002 ;
1404 ;
摘要:
The Internet of Drone Things (IoDT) is a trending research area where drones are used to gather information from ground networks. In order to overcome the drawbacks of the Internet of Vehicles (IoV), such as congestion issues, security issues, and energy consumption, drones were introduced into the IoV, which is termed drone-assisted IoV. Due to the unique characteristics of the IoV, such as dynamic mobility and unsystematic traffic patterns, the performance of the network is reduced in terms of delay, energy consumption, and overhead. Additionally, there is the possibility of the existence of various attackers that disturb the traffic pattern. In order to overcome this drawback, the drone-assisted IoV was developed. In this paper, the bio-inspired dynamic trust and congestion-aware zone-based secured Internet of Drone Things (BDTC-SIoDT) is developed, and it is mainly divided into three sections. These sections are dynamic trust estimation, congestion-aware community construction, and hybrid optimization. Initially, through the dynamic trust estimation process, triple-layer trust establishment is performed, which helps to protect the network from all kinds of threats. Secondly, a congestion-aware community is created to predict congestion and to avoid it. Finally, hybrid optimization is performed with the combination of ant colony optimization (ACO) and gray wolf optimization (GWO). Through this hybrid optimization technique, overhead occurs during the initial stage of transmission, and the time taken by vehicles to leave and join the cluster is reduced. The experimentation is performed using various threats, such as flooding attack, insider attack, wormhole attack, and position falsification attack. To analyze the performance, the parameters that are considered are energy efficiency, packet delivery ratio, routing overhead, end-to-end delay, packet loss, and throughput. The outcome of the proposed BDTC-SIoDT is compared with earlier research works, such as LAKA-IOD, NCAS-IOD, and TPDA-IOV. The proposed BDTC-SIoDT achieves high performance when compared with earlier research works.
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页数:27
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