The growing utilization of Unmanned Aerial Vehicles (UAVs) across diverse industries has led to increased interest in UAV-assisted data acquisition for the Internet of Things (IoT). The security of image data collected by UAVs during transmission within the IoT has become a critical concern. This paper focuses on the security challenges associated with UAV-assisted image data collection in the IoT and presents a dedicated framework designed to enhance the security of this process. Given the high-resolution nature of UAV-captured images, traditional encryption methods face difficulties in directly and effectively encrypting such data. To address this issue, the paper introduces an efficient chaotic image encryption algorithm integrated into the proposed protection framework. The algorithm features a novel 1D chaotic system for generating effective chaotic sequences. For the scrambling phase, a chaotic four-spiral transformation method is employed, and the diffusion process utilizes the Fibonacci matrix. This strategic approach aims to minimize pixel correlation within the image, thereby bolstering the overall security of the encryption process. Experimental validation conducted on authentic UAV image datasets demonstrates the superior, practical, secure, and efficient characteristics of the proposed algorithm.

中文翻译：

---

增强物联网无人机辅助图像数据采集的安全性


无人机 (UAV) 在各个行业的使用不断增加，导致人们对无人机辅助物联网 (IoT) 数据采集的兴趣日益浓厚。无人机收集的图像数据在物联网内传输过程中的安全性已成为一个关键问题。本文重点关注物联网中无人机辅助图像数据收集相关的安全挑战，并提出了一个旨在增强该过程安全性的专用框架。鉴于无人机捕获图像的高分辨率特性，传统的加密方法在直接有效地加密此类数据方面面临困难。为了解决这个问题，本文引入了一种集成到所提出的保护框架中的高效混沌图像加密算法。该算法采用新颖的一维混沌系统来生成有效的混沌序列。对于置乱阶段，采用混沌四螺旋变换方法，扩散过程利用斐波那契矩阵。这种策略方法旨在最大限度地减少图像内的像素相关性，从而增强加密过程的整体安全性。在真实无人机图像数据集上进行的实验验证证明了该算法的优越性、实用性、安全性和高效性。