计算机科学 ›› 2025, Vol. 52 ›› Issue (11A): 250900081-8.doi: 10.11896/jsjkx.250900081
• 信息安全 • 上一篇
陈鸿祥1, 陈果1, 张辉1, 吴美琪1, 丁萁琦1, 罗合1, 王昊1, 谷林明1, 罗惠恒2, 王景晗2
CHEN Hongxiang1, CHEN Guo1, ZHANG Hui1, WU Meiqi1, DING Qiqi1, LUO He1, WANG Hao1, GU Linming1, LUO Huiheng2, WANG Jinghan2
摘要： 在电力系统的远程监控与无人值守巡检应用中,图像已成为记录与传输缺陷信息的重要媒介。然而,经由公开信道传输的图像数据极易受到恶意篡改与伪造,严重威胁系统安全与故障响应效率。为此,文中提出了一种适用于电力通信场景的图像篡改检测与自恢复算法。该算法基于量子随机数生成器构造完美哈希,用于生成具备高随机性与不可预测性的认证模型,以提高其抗篡改能力;同时结合图像块级匹配策略和SPIHT编码算法生成认证与恢复数据;然后,将这些数据作为脆弱水印嵌入到原始的通信图像中,以实现篡改区域的精确定位和自恢复,其中嵌入密钥采用量子密钥分发协议进行安全共享,可有效防止关键参数在传输过程中的泄露或篡改。在标准图像数据集上进行实验,结果表明所提方法在篡改检测精度、自恢复效果、安全性、嵌入容量与图像质量等方面均优于现有方案,适用于电力图像传输的完整性保护与可信认证需求。
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