With the large-scale application of 5G in industrial production, the Internet of Things has become an important technology for various industries to achieve efficiency improvement and digital transformation with the help of the mobile edge computing. In the modern industry, the user often stores data collected by IoT devices in the cloud, but the data at the edge of the network involves a large of the sensitive information, which increases the risk of privacy leakage. In order to address these two challenges, we propose a security strategy in the edge computing. Our security strategy combines the Feistel architecture and short comparable encryption based on sliding window (SCESW). Compared to existing security strategies, our proposed security strategy guarantees its security while significantly reducing the computational overhead. And our GRC algorithm can be successfully deployed on a hardware platform.

随着5G在工业生产中的大规模应用，物联网已经成为各行各业在移动边缘计算的帮助下实现效率提高和数字转换的重要技术。在现代行业中，用户通常将物联网设备收集的数据存储在云中，但是网络边缘的数据涉及大量敏感信息，这增加了隐私泄露的风险。为了解决这两个挑战，我们在边缘计算中提出了一种安全策略。我们的安全策略结合了Feistel架构和基于滑动窗口（SCESW）的简短可比加密。与现有的安全策略相比，我们提出的安全策略在保证其安全性的同时大大减少了计算开销。