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.

中文翻译：

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多访问边缘计算通过基于身份的通用签密技术实现安全部署，从而为飞行Ad Hoc网络提供支持

一组小型无人机可以协同形成一个飞行自组织网络（FANET）。由于机载功率有限，计算能力受限，带宽不足等原因，小型无人机通常容易出现安全性下降。此类限制阻碍了标准密码技术的适用性。因此，确保部分小型无人机的机密性和认证仍然是一个遥不可及的目标。我们旨在通过提出一种基于身份的广义签密方案来解决这一问题。轻量级安全方案采用多路访问边缘计算（MEC），从而将主UAV作为MEC节点，为计算脆弱的成员UAV提供卸载功能。该方案基于超椭圆​​曲线（HEC）的概念，该特征以较小的密钥大小为特征，因此适合于小型无人机。该方案是健壮的，因为它同时以及单独提供机密性和身份验证。使用Internet安全验证和应用程序自动验证（AVISPA）工具进行正式和非正式安全分析以及验证结果，是第二个这样的概念。与现有方案的比较分析进一步验证了所提出方案的坚固性。作为案例研究，该方案​​适用于监测农业领域中的农作物。已经发现，该方案具有更高的安全性，并降低了计算和通信成本。第二个这样的概念。与现有方案的比较分析进一步验证了所提出方案的坚固性。作为案例研究，该方案​​适用于监测农业领域中的农作物。已经发现，该方案具有更高的安全性，并降低了计算和通信成本。第二个这样的概念。与现有方案的比较分析进一步验证了所提出方案的坚固性。作为案例研究，该方案​​适用于监视农业领域中的农作物。已经发现，该方案具有更高的安全性，并降低了计算和通信成本。