Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles

Faraji-Biregani, Maryam; Fotohi, Reza

doi:10.1007/s11227-020-03462-0

Cited by 48 publications

(23 citation statements)

References 28 publications

(38 reference statements)

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“…As different types of UAVs are used for different applications such as wireless coverage, remote sensing, real-time monitoring, search and rescue operations, surveillance, and delivery of goods, it is important to choose the right UAV and the suitable scheme for each specific application. For instance, in Table 5, it can be seen that the scheme which was developed in [75] is suitable for wireless coverage and surveillance. Similarly, Table 6 provides an analysis of the existing schemes in terms of used technologies.…”

Section: Rules-based Intrusion Detectionmentioning

confidence: 99%

“…Similarly, Table 6 provides an analysis of the existing schemes in terms of used technologies. For example, the scheme presented in [75] supports secure communication. By incorporating the image processing technology, one can securely communicate by sending the encrypted digital data such as images.…”

Section: Rules-based Intrusion Detectionmentioning

confidence: 99%

“…Protection of sensitive information from attackers has become a great challenge for the researchers. In order to sort out these issues, a new methodology was proposed in [75] for the secure transmission of sensitive information from the UAV to the GS. A protocol was proposed by Faraji et al in [75] to protect the information from malicious UAVs launched by the attacker in the communication network, and the transmission of information from the UAV to the GS.…”

Section: Wifi Insecurity and Jamming Attackmentioning

confidence: 99%

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Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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With the rapid growth in technology, the use of Unmanned Aerial Vehicles (UAVs) have increased in civil and military applications including rescue operations, disaster recovery, and military operations. Despite the utility and advantages of UAVs, they may lead to major security breaches in the context of hardware, software, and communication channel, due their ease of use and availability. UAVs are vulnerable to various types of attacks such as spoofing, false data injection, jamming, fuzzing, availability, confidentiality, and integrity attacks. To overcome these security threats, researchers have been investigating strong security protocols to keep UAVs safe from the attackers. Nevertheless, there are many flaws in the developed protocols which can be exploited by hackers. Therefore, it is becomes crucial to study and analyze the existing security protocols used in UAVs to discover and address their vulnerabilities and weaknesses. The purpose of this study is to explore the vulnerabilities in the security protocols and propose guidelines to improve the security and provide future research directions.

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Section: Rules-based Intrusion Detectionmentioning

confidence: 99%

Section: Rules-based Intrusion Detectionmentioning

confidence: 99%

Section: Wifi Insecurity and Jamming Attackmentioning

confidence: 99%

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Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

2021

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“…The distributed fuzzy logic module eliminates the linear nodes of complexity from the Safety Aware Fuzzy Enhanced Ant Colony Optimization (SAFEACO) [14] routing process, resisting black hole, Sybil and inundation attacks at the same time. In [15], it uses two phases to counter malicious Unmanned aerial vehicles (UAVs) attacks. Firstly, they identify and remove malicious UAVs.…”

Section: Related Workmentioning

confidence: 99%

An Active-Routing Authentication Scheme in MANET

Tian

Wang

2021

IEEE Access

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Mobile ad-hoc networks (MANET) is a network mode that does not depend on network infrastructure and central access. The fast and flexible networking mode of MANET renders its wide applications in specific scenarios. However, rapidly changing topology and open channels bring potential security problems. In this paper, we proposed an active-routing authentication scheme (AAS) based on the characteristics of active routing protocols. We formally demonstrated that the AAS is effective against selective forwarding attack, false routing attack, byzantine attack and route spoofing attack using the BAN logic considering the possibility of malicious nodes mingling in MANET. Experimental results show that the AAS is compatible with multiple active routing protocols and it is able to increase the packet delivery rate by 33.9%, with an average increase of 18.4% in the network containing some malicious nodes. Furthermore, the AAS is robust which remains the average network connection rate reach 1.6 times of the collusion attack prevention-OLSR(Cap-OLSR) protocol and preserves 79.2% of the network performance in simulation experiments with attacks from malicious nodes. INDEX TERMS mobile ad-hoc network; active routing; authentication scheme; secure routing;

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“…

italicDR = ((), \frac{italicTPR}{TPR + FNR}) * 100 where All = italicTPR + italicTNR + italicFPR + italicFNR

FPR: The FPR is determined by the total number of nodes mistakenly found as the malevolent nodes divided by the total number of usual nodes 18–20 . Hence, Equation illustrates the

italicFPR = ((), \frac{italicFPR}{FPR + TNR}) * 100, where italicTNR = ((), \frac{italicTNR}{TNR + FPR}) * 100

FNR: The rate of the malevolent node to total normal nodes incorrectly signed as a normal node 21–25 . The calculation is proved by Equation .…”

Section: Performance Evaluationmentioning

confidence: 99%

A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

Zaminkar¹,

Sarkohaki

Fotohi

2020

Int J Communication

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Summary Internet of Things (IoT) provides the possibility for milliards of devices throughout the world to communicate with each other, and data are collected autonomously. The big data generated by the devices should be managed securely. Due to security challenges, like malicious nodes, many approaches cannot respond to these concerns. In this paper, a robust hybrid method, including encryption, is used as an efficient approach for resolving the Low‐Power and Lossy Networks (RPL) protocol concerns so that the devices are connected securely. Therefore, the proposed Detection of sinkholes in RPL (DSH‐RPL) method for securing the RPL protocol comprises the four following phases: the first phase creates a reliable RPL. The second phase detects the sinkhole attack. The third phase quarantines the detected malicious node, and the fourth phase transmits data through encryption. The simulation results show that the DSH‐RPL reduces the false‐positive rate more than 18.2% and 23.1% and reduces the false‐negative rate more than 16.1% and 22.78% and it also increases the packet delivery rate more than 19.68% and 25.32% and increases the detection rate more than 26% and 31% compared to SecTrust‐RPL and IBOOS‐RPL.

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Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles

Cited by 48 publications

References 28 publications

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

An Active-Routing Authentication Scheme in MANET

A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

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