BioMixD: A Bio-Inspired and Traffic-Aware Mix Zone Placement Strategy for Location Privacy on the Internet of Drones

Svaigen, Alisson R.; Boukerche, Azzedine; Ruiz, Linnyer B.; Loureiro, Antônio A. F.

doi:10.1016/j.comcom.2022.07.012

Cited by 14 publications

(8 citation statements)

References 24 publications

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“…In the context of IoD, security and privacy is considered at different layers: application layer, transport layer, and physical layer [19]. In addition, information privacy also needs to be addressed in future work, given the UAV's connectivity to ground and air space, large amounts of data need to be stored securely [53], [200], [201]. Therefore, these two factors are relevant and in need of future research involving them.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…The Internet of Drones (IoD) is a network architecture specifically intended to support communications between drones and various network entities deployed on the ground [13], [28]. This concept embraces the envisioned Intelligent Transportation System (ITS) scenario, it must handle a series of requirements, such as managing a self-organized aerial traffic flow, fair access to a shared wireless communication channel, and all levels of security and privacy [53].…”

Section: Internet Of Dronesmentioning

confidence: 99%

“…Gharibi et al [13] designed a cross-layered network architecture for IoD management to overcome these requirements, where drones must fly over well-defined airways. Second, Svaigen et al [53] an IoD structure is composed of airways that can be similar to terrestrial roads; intersections are given by the conjunction of two or more airways; nodes are defined as reachable Points of Interest through an alternating sequence of airways and intersections; and Zone Service Providers (ZSP) are an infrastructure's component similar to a base station, providing navigation information to the drones through a fairness policy. ZSP follows the governing laws regarding the airways, intersections, and nodes to ensure a safe and reliable drone traffic flow.…”

Section: Internet Of Dronesmentioning

confidence: 99%

“…Complex and dynamic environments with uncertain information, obstacles of different forms. Moreover, the IoD has particular and inherent characteristics such as managing a self-organized aerial traffic flow, fair access to a shared wireless communication channel, and all levels of security and privacy [53]. All these characteristics pose fundamental challenges in relation to the Quality of Service (QoS) of drones, requiring path planning, lightweight communication protocols, security and privacy.…”

Section: Deployments and Integration In Iodmentioning

confidence: 99%

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Toward UAV Path Planning Problem Optimization Considering the Internet of Drones

Shirabayashi,

Ruiz

2023

IEEE Access

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The use of Unmanned Aerial Vehicles (UAVs) has become popular in recent years, especially for their potential in various practical applications, but for their use to become a reality this context, it is necessary to study about it. One of the main problems involving UAVs, regardless of the application to which it will be used, is path planning, which is crucial to ensure safety, economy, and effectiveness. In this study we present a literature review on the optimization problem path planning and the methods used to solve it. To this end, we seek to explore the existing papers in literature on this topic, identifying mathematical models, analyzing characteristics of the objective function, types of obstacles, number of UAVs considered, the nature of the solution adopted and deployments and integration in the Internet of Drones (IoD). A comparative analysis of the works analyzed was presented in the form of tables for each path planning technique considered. In addition, some advantages and safety of the methods were also listed. We furthermore present a set of open research challenges, high-level insights, and future research directions related to the UAV path planning problem in the context of IoD. This study contributes deeply with the advancement of state of art regarding the path planning strategies on the Internet of Drones since we provide a thorough analysis of characteristics of the mathematical models used in the UAV path planning problem reviewing papers published in relevant journals and conferences in the last 4 years (2018 to 2022), highlighting the advantages and disadvantages of each method as well as the possibilities of implementation and integration with IoD.INDEX TERMS Internet of drones, Optimization, Path Planning techniques, Unmanned Aerial Vehicles (UAV), IoD architecture. I. INTRODUCTIOND RONES, as known as Unmanned Aerial Vehicles (UAVs), is the most usual way to refer to an aircraft that does not carry a crew. Several terms are used to refer to "drones". Besides UAV, the most common are: unmanned aircraft systems (UAS), remotely piloted vehicles (RPVs), remotely piloted aircraft (RPAs). In recent years, we have observed the increasing popularity and use of UAVs, in different handy applications, such as delivery, transportation, agriculture, monitoring, medical assistance, image capturing, among others [1]-[9]. In the past, the UAVs were mainly used in military applications where one or more drones were used for weather monitoring, soldier recognition, search and rescue. These applications remain and as listed above, several others have emerged, bringing new challenges and the need for more research about them.Currently, there are several studies related to delivery applications with UAVs. Large and well-known companies such as Amazon [10], Google, iFood [11], are investing in research and possibilities to make their deliveries via drones. However, for such implementation to be possible and feasible in the future, it is necessary to organize and coordinate the airspace and drones, since se...

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: Internet Of Dronesmentioning

confidence: 99%

Section: Internet Of Dronesmentioning

confidence: 99%

Section: Deployments and Integration In Iodmentioning

confidence: 99%

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Toward UAV Path Planning Problem Optimization Considering the Internet of Drones

Shirabayashi,

Ruiz

2023

IEEE Access

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“…The work introduces a dynamic mix zone selection approach that considers vehicle density and location uncertainty to improve the privacy protection of vehicles. In Reference 23, the authors proposed a BioMixD scheme, which is a mix zone placement scheme to preserve the location privacy on the Internet of Drones. The scheme is inspired by biological systems.…”

Section: Related Workmentioning

confidence: 99%

RFPM: A RSU‐aided framework for pseudonym management to preserve location privacy in IoV

Kumari

Singh

Gowtham

et al. 2023

Security and Privacy

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The Internet of Vehicles (IoV) has become a rapidly growing research area, with the USA, EU, and Japan leading the way. IoV safety applications rely on broadcasting messages to communicate with peers and infrastructure. However, these messages contain sensitive information that can be used by an adversary to track vehicles' movements or cause chaos if not properly protected, resulting in location privacy concerns. Despite various schemes being proposed to address this issue, a standard approach to providing proper privacy to IoV users has yet to be established. This article proposes a roadside unit (RSU)‐aided framework for pseudonym management to preserve location privacy in IoV by enabling anonymity. The RSUs function as key entities, collecting, distributing, and shuffling pseudonyms for use by vehicles to enforce anonymity. The proposed framework has been evaluated through experimental simulations on PREXT, demonstrating better performance than existing schemes in terms of privacy metrics, including traceability, anonymity set, confusion matrix, and maximum entropy. Realistic terrain has been taken into account, and the framework is designed to be flexible and adaptable for future needs.

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Trajectory Matters: Impact of Jamming Attacks Over the Drone Path Planning on the Internet of Drones

et al. 2023

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BioMixD: A Bio-Inspired and Traffic-Aware Mix Zone Placement Strategy for Location Privacy on the Internet of Drones

Cited by 14 publications

References 24 publications

Toward UAV Path Planning Problem Optimization Considering the Internet of Drones

Toward UAV Path Planning Problem Optimization Considering the Internet of Drones

RFPM: A RSU‐aided framework for pseudonym management to preserve location privacy in IoV

Trajectory Matters: Impact of Jamming Attacks Over the Drone Path Planning on the Internet of Drones

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