Encryption technology has a great influence on data security. There are many encryptions have been proposed. In general, the encryptions with higher complexity will provide higher security, but it will also consume a lot of computing resources. In some cases, these high complexity method may not suitable such as Internet of Thing devices. This is because Internet of Thing device has lower computing power due to the size and the limited battery. Therefore, most of Internet of Thing (IoT) devices are used symmetric encryption as the main method. However, this kind of symmetric encryption algorithms are easy to occur weak keys such as data encryption algorithm (DES). This will expose IoT devices to high risk environments. In this study, a new fitness function has given and then a Genetic Algorithm-based symmetric key generation is proposed. As the simulation results, our proposed method can provide higher randomness and very low probability to occur the weak keys so that the data security in IoT environment will be increased significantly.

加密技术对数据安全性有很大影响。已经提出了许多加密。通常，具有更高复杂度的加密将提供更高的安全性，但同时也会消耗大量计算资源。在某些情况下，这些高复杂度的方法可能不适合诸如Thing设备之类的Internet。这是因为由于尺寸和电池有限，物联网设备的计算能力较低。因此，大多数物联网（IoT）设备都使用对称加密作为主要方法。但是，这种对称加密算法很容易出现诸如数据加密算法（DES）之类的弱密钥。这将使物联网设备暴露于高风险环境中。在这项研究中，给出了一个新的适应度函数，然后提出了一种基于遗传算法的对称密钥生成方法。