Unmanned aerial vehicle with handover management fuzzy system for 5G networks: challenges and perspectives

Ayass, Thalita; Coqueiro, Thiago; Carvalho, Tássio; Jailton, José; Araújo, Jasmine Priscyla Leite de; Francês, Renato

doi:10.20517/ir.2021.07

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…Thus, from the security point of view, wireless communication channels are among the most vulnerable to interference and information distortion. This is due to the fact that in addition to the destruction of information in the network, there is a possibility of its interception, distortion and addition of false information to wireless information channels in cyberspace [10][11][12][13][14][15][16][17][18].…”

Section: Analysis Of Information Security Methods In the Face Of Inte...mentioning

confidence: 99%

A Method of Protecting Information in Cyber-Physical Space

Dzheniuk,

Yevseiev,

Lazurenko

et al. 2023

A.I.S.

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The subject of the study is the processes of ensuring the reliability and security of information in cyber-physical space. The objective is to develop recommendations for the implementation of a method of information security in cyber-physical space. The development is based on the technology of ultra-wideband signals circulating in wireless communication channels. The task is to ensure the stable and reliable operation of the airborne wireless mobile communication network, which is the main component of cyberspace and its most vulnerable link to destructive influences. Methods used: methods of analytical modelling and time-position pulse coding. The following results were obtained. It is shown that in order to ensure high quality of wireless network operation, it is necessary to expand its bandwidth, which is limited by the physical resource of the radio frequency spectrum. It is proposed to overcome this contradiction by applying the technology of ultra-wideband signals, the base of which is much larger than one. In this case, the information signal is emitted without a carrier frequency simultaneously in the entire frequency band, provided that the signal level is lower than the noise level. The method of positional-time coding is used, in which each information bit is encoded by hundreds of ultra-short chip pulses arriving in a certain sequence. In such wireless communication systems, the use of autocorrelation reception of modulated ultra-wideband signals is proposed. A comparative analysis has shown that the wireless network with the best reliability and noise immunity is the one where the time separation of the reference and information signals is applied. During the first half of the bit interval, the switch closes the transmitter output directly to the ultra-wideband signal generator, forming a reference signal. In the middle of the bit interval, the switcher switches the output to one of two possible positions depending on the signal "zero" or "one", forming the information part of the signal. Conclusions. Systems with autocorrelation reception and separate transmission of reference and information signals provide a high level of structural

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Section: Analysis Of Information Security Methods In the Face Of Inte...mentioning

confidence: 99%

A Method of Protecting Information in Cyber-Physical Space

Dzheniuk,

Yevseiev,

Lazurenko

et al. 2023

A.I.S.

View full text Add to dashboard Cite

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“…Ayass et al [17] propose fuzzy-based UAV handover methods in a 5G environment. The expectations on Quality of Service (QoS) and Quality of Experience (QoE) factors increase as new technology UAV services emerge globally.…”

Section: Investigations On Related Workmentioning

confidence: 99%

Reactive Handover Coordination System with Regenerative Blockchain Principles for Swarm Unmanned Aerial Vehicles

Rajasoundaran

Kumar

Selvi

et al. 2023

Preprint

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Aerial warfare systems in various countries highly expect Swarm Unmanned Aerial Vehicles (UAVs) and Flying Adhoc Networks (FANETs) for defense stability. However, swarm UAVs face many challenges, like security breaches, malfunctions, link failures, and handover failures. UAVs can easily malfunction by external threats to create data loss, theft, signal jamming, misrouting, false handover, and location spoofing. Failures in UAV handover principles make overall gradual downtime in FANET. Against these issues, existing UAV protection mechanisms deliver location monitoring mechanisms (graphs and trees), multi-link handover mechanisms, and distributed authentication principles. Anyhow, the implantation of recent-day techniques may fail against migrating attacker events executed in electronic warfare systems. The methods need improvements in protecting Multi-UAV layers through end-to-end security principles. On the research problem, the proposed Reactive Handover Coordination System with Regenerative Blockchain Principles (RHCRB) takes novel high-security features specially made for swarm UAVs. RHCRB implements more crucial distributed functions in each UAV on demand. The executed operations of RHCRB comprise trusted location monitoring schemes (internal and cooperative UAV movements), dynamic location-based cost magnitude calculations, regenerative blockchain principles (authentication of each UAV and active edges), confidential link management principles, secure handover coordination, and on-demand topology management principles. The technical aspects of RHCRB build lightweight and shielded handover principles against airfield vulnerabilities. The proposed model suggests implementing an entirely protected handover environment from node localization to handover events. The inspired technical aspects of RHCRB contribute to the swarm UAV environment through confidential (Advanced Encryption Standard (AES)) and distributed authentication (blockchain-based node and edge management) principles to engage protected handover practices. The experimental section of this article has the testbed in FlyNetSim tool for implementing RHCRB and notable recent security techniques such as the Internet of Vehicles with Decentralized Blockchains (IoV-DB), Group Handover for Internet of Defense (GH-IoD), and Handover and Optimized Security Principles for UAVs (HOOPOE). The results show RHCRB's 8–14% of betterment than existing techniques through various measures.

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“…The node's energy is one of the most critical factors to consider in a drone; therefore, effective power management, including wireless drone charging, solar drone charging, and even the utilisation of artificial intelligence technology [21], are required for the continuity of the applications [22]. The node can accomplish the mission when its battery level exceeds 50%.…”

Section: Node's Energy (Battery Level)mentioning

confidence: 99%

FUBA: A fuzzy‐based unmanned aerial vehicle behaviour analytics for trust management in flying ad‐hoc networks

Benfriha,

Labraoui,

Bensaid

et al. 2023

IET Networks

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Flying Ad‐Hoc Network (FANET) is a promising ad hoc networking paradigm that can offer new added value services in military and civilian applications. Typically, it incorporates a group of Unmanned Aerial Vehicles (UAVs), known as drones that collaborate and cooperate to accomplish several missions without human intervention. However, UAV communications are prone to various attacks and detecting malicious nodes is essential for efficient FANET operation. Trust management is an effective method that plays a significant role in the prediction and recognition of intrusions in FANETs. Specifically, evaluating node behaviour remains an important issue in this domain. For this purpose, the authors suggest using fuzzy logic, one of the most commonly used methods for trust computation, which classifies nodes based on multiple criteria to handle complex environments. In addition, the Received Signal Strength Indication (RSSI) is an important parameter that can be used in fuzzy logic to evaluate a drone's behaviour. However, in outdoor flying networks, the RSSI can be seriously influenced by the humidity of the air, which can dramatically impact the accuracy of the trust results. FUBA, a fuzzy‐based UAV behaviour analytics is presented for trust management in FANETs. By considering humidity as a new parameter, FUBA can identify insider threats and increase the overall network's trustworthiness under bad weather conditions. It is capable of performing well in outdoor flying networks. The simulation results indicate that the proposed model significantly outperforms FNDN and UNION in terms of the average end‐to‐end delay and the false positive ratio.

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Unmanned aerial vehicle with handover management fuzzy system for 5G networks: challenges and perspectives

Cited by 7 publications

References 13 publications

A Method of Protecting Information in Cyber-Physical Space

A Method of Protecting Information in Cyber-Physical Space

Reactive Handover Coordination System with Regenerative Blockchain Principles for Swarm Unmanned Aerial Vehicles

FUBA: A fuzzy‐based unmanned aerial vehicle behaviour analytics for trust management in flying ad‐hoc networks

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