Abstract
A group of small UAVs can synergize to form a flying ad hoc network (FANET). The small UAVs are, typically, prone to security lapses because of limited onboard power, restricted computing ability, insufficient bandwidth, etc. Such limitations hinder the applicability of standard cryptographic techniques. Thus, assuring confidentiality and authentication on part of small UAV remains a far-fetched goal. We aim to address such an issue by proposing an identity-based generalized signcryption scheme. The lightweight security scheme employs multiaccess edge computing (MEC) whereby the primary UAV, as a MEC node, provides offloading to the computationally fragile member UAVs. The scheme is based on the concept of the hyperelliptic curve (HEC), which is characterized by a smaller key size and is, therefore, suitable for small UAVs. The scheme is robust since it offers confidentiality and authentication simultaneously as well as singly. Formal as well as informal security analyses and the validation results, using the Automated Validation for Internet Security Validation and Application (AVISPA) tool, second such notion. Comparative analysis with the existing schemes further authenticates the sturdiness of the proposed scheme. As a case study, the scheme is applied for monitoring crops in an agricultural field. It has been found out that the scheme promises higher security and incurs lower computational and communication costs.
Highlights
Unmanned Aerial Vehicles (UAVs) have earned recognition in multiple domains owing to their versatile applications for surveillance, agriculture, health services, traffic monitoring, inspection, public safety, etc
Hyperelliptic Curve Cryptography (HECC) is the advanced form of elliptic curve cryptography (ECC), and it is used to exchange keys and facilitate secure communications between two parties with very small size keys and incur lower computational and communication costs
A huge bandwidth is required when linking the Macro Base Stations with the core network. e proposed architecture involves the UAVs connected together via either of the two classes: monitoring UAV (M-UAV), responsible for performing the monitoring function from an assigned zone; and multiaccess edge computing UAV (MEC-UAV), utilizing MEC to handle a set of M-UAVs connected to it
Summary
Unmanned Aerial Vehicles (UAVs) have earned recognition in multiple domains owing to their versatile applications for surveillance, agriculture, health services, traffic monitoring, inspection, public safety, etc. [1]. (i) We introduce a new architecture for flying ad hoc networks (FANETs) leveraging multiaccess edge computing (MEC) facility, where the primary UAV acts as a MEC node in order to provide computational offloading services for the member UAVs having limited local computing capabilities (ii) We propose an efficient and provably secure identity-based generalized signcryption scheme for the architecture using the concept of a hyperelliptic curve (iii) e proposed scheme is potent enough to thwart attacks, both known and unknown, and the validation results using the Automated Validation for Internet Security Validation and Application (AVISPA) tool second such notion (iv) upon doing a comparative analysis with the extant schemes, it is revealed that our proposed scheme is superior, in terms of computational and communication costs.
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