A Trust Based Scheme to Protect 5G UAV Communication Networks

Su, Yu

doi:10.1109/ojcs.2021.3058001

Cited by 10 publications

(9 citation statements)

References 33 publications

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“…Other general solutions address the security of SDMN [Liyanage et al, 2015;Bouras et al, 2017a], security policies [Zhao et al, 2021b;Batalla et al, 2020], security schemes (models or protocols) [Ksentini and Frangoudis, 2020;Chaikalis et al, 2020;Dutta and Hammad, 2020;Angelogianni et al, 2020;Ghafoor et al, 2021;Settembre, 2021;Sharma et al, 2020a;Wazid et al, 2021;Ghosh et al, 2019;Kiyemba Edris et al, 2020;Preuß Mattsson and Nakarmi, 2021;Sun et al, 2019;Shang et al, 2019;Cho et al, 2019;Hsu et al, 2020b,a;Kim et al, 2020;Haddar et al, 2019;Boubakri et al, 2017;Namiot and Sneps-Sneppe, 2021;Letafati et al, 2020;Al-Musawi et al, 2020;Krzywiecki et al, 2021;Zhang et al, 2021;Su, 2021;Boubakri et al, 2019;Ren et al, 2022], security architectures (or frameworks) [Vijay and Umadevi, 2019;Siddiqui et al, 2016;Mantas et al, 2021;Monir Mansour, 2019;Kecskés et al, 2021;Kunz and Zhang, 2018;Mars et al, 2019;Nieto et al, 2018;…”

Section: Smart Agriculturementioning

confidence: 99%

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

Sobrinho,

Santos,

Silva

et al. 2023

Preprint

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The deployment of 5G infrastructure is one of the main vectors for new application scenarios since it enables enhanced data bandwidth, low latency, and comprehensive signal coverage. As a result, this communication system supports various vertical applications such as the Industrial Internet of Things, smart health, smart cities, smart grids, and transportation systems. However, these applications bring new challenges to 5G networks due to specific requirements for such scenarios. Furthermore, as software-based technologies, including network slicing, software-defined networks, network function virtualization, and multi-access edge computing are a fundamental part of the 5G architecture, the network can expose these applications to new security and privacy concerns. This study summarizes the existing literature on 5G vertical applications security. We highlight vulnerabilities, threats, attacks, and solutions for 5G vertical applications. We conducted a Systematic Literature Mapping (SLM) to discuss security and privacy challenges regarding the 5G vertical applications. The SLM answered the following research question: what is the state-of-the-art regarding security in 5G networks and vertical applications? We reviewed 389 papers from 2,349 produced by searching with a curated search query and discussed vulnerabilities, threats, attacks, and solutions for 5G vertical applications. Smart cities, Industry 4.0, smart transportation, public services, smart grids, and smart health are vertical applications with relevant security concerns. We observed the need for more research since the 5G and vertical applications continuously evolve. This review also uncovers research gaps and future research directions.

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Section: Smart Agriculturementioning

confidence: 99%

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

Sobrinho,

Santos,

Silva

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…To improve the effectiveness of communication in VANETs in earlier research several trust models are introduced in VANETs. They are trust cascading-based emergency message dissemination (TCEMD) model [13], risk-based trust evaluation advanced model (RTEAM) [14], trust model for location privacy protection [15], context-aware trust management model [16], anonymous cloaking zone creation approach based on a trust mechanism [17], "VAR2" strategy that permits autonomous trust model [18], a vehicle trust evaluation approach based on a hidden markov model (HMM) that increases the accuracy in the identification of malicious activity [19], a trusted routing strategy based on block-chain and fuzzy logic to enhance the identification of rogue nodes in VANET [20], a consortium block-chain-based strategy for preventing insider assaults in the VANET system utilizing the trusted AODV protocol [21], adaptive traffic-management system (ATM), an effective active-detection trust management system [22], the trust model to protect the UAVs assisted VANETs [23], UAV-assisted ubiquitous trust evaluation (UUTE) framework [24], and lightweight attestation mechanism [25]. Once after analysis the earlier research which is based on trust in UAV assisted VANETs the major drawback which is identified are increased energy consumption, delay and overhead in the network.…”

Section: Related Workmentioning

confidence: 99%

On the design of trust and mobility based evaluation for intelligent collaborative UAVs assisted VANETs

et al. 2023

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In recent days, vehicles usage and speed are highly increased that leads to an increase in energy consumption, delay, and overhead in the network. In this paper, a novel trajectory is introduced to achieve maximum reliability namely trust and mobility-based evaluation for intelligent collaborative (TMIC)-UAVs assisted VANETs. Reactive multipath greedy routing protocol (RMGR) is the hybrid routing protocol and it is the combination of ad hoc on-demand multipath distance vector (AOMDV) with greedy geographic forwarding (GGF) which is used for routing in frequently changeable network topology. To protect the network from malfunctions, effective trust evaluation (ETE) is performed by calculating the direct trust and indirect trust. Finally, to achieve effective communication among the UAVs, hybrid optimization is performed which is the combination of the genetic algorithm (GA) and the crow swarm optimization (CSO) algorithm. For validation network simulator (NS3) is used and the results show that this approach achieves high energy efficiency, delivery ratio, and reduction in delay when compared with the earlier research.

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“…The taxonomy of various security attacks is categorized into four main categories, such as trust, integrity, availability, and confidentiality, as shown in Figure 5. Some of the security attacks 179–181 are based on trust, integrity, availability, authentication, and confidentiality in UAV‐assisted networks discussed in this subsection, and we also provide advanced defense mechanisms to handle these attacks during storage, computation, and communication. False data update: False data update attack is trust‐based attack.…”

Section: Collaboration Of Uavs For a Hetnet With Fog Computingmentioning

confidence: 99%

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Gupta

2022

Int J Communication

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Summary A drone or unmanned aerial vehicles (UAVs) is becoming a trending area for researchers worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone, disaster management, healthcare sector, smart cities, Internet of Things (IoT), urban air mobility, and many more. In contrast, UAV's limited computational capability and low‐energy sources pose significant challenges for real‐time data processing, storage, networking, and security that are critical in emergencies such as floods, earthquakes, and cyclones. UAVs are rapidly used to satisfy user requirements as well as services. As the demand for UAVs aided heterogeneous wireless networks increases in critical emergencies, fog computing serves several benefits to fulfill users' demands in terms of low latency, support, data storage, mobility, availability, scalability, and so on. This study aims to present a comprehensive study with their technical aspects for understanding fog computing, security issues, privacy concerns, and risks, along with its solutions. This paper suggests the collaboration of UAV‐Fog architecture based on the four‐tier network consisting of smart things, local UAVs, UAV‐Fog, and cloud server, to control UAV's data and also described some of the security issues faced by this cloud infrastructure. Further, this research article also sheds new light on some scenarios of UAV‐Fog for such deployments, applications, opportunities, challenges, and their major security threats and their countermeasures. Afterward, we design taxonomy of the collaboration of UAV‐Fog with their respective approaches.

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A Trust Based Scheme to Protect 5G UAV Communication Networks

Cited by 10 publications

References 33 publications

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

A Systematic Literature Mapping on the Security of 5G and Vertical Applications

On the design of trust and mobility based evaluation for intelligent collaborative UAVs assisted VANETs

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

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