Cloud storages are currently crucial for data storage due to the rapid rise in data demand. However, there are security concerns with cloud computing, such as holes that allow hackers to access or edit data. Such that the data security algorithms are utilized. The primary issue is how to securely distribute the encryption key among users, which is why numerous techniques have been created. Hackers may be able to access the secret key with the use of cutting-edge quantum computers. To avoid those problems quantum key distribution methods are developed. The presented work uses some preprocessing techniques like shifting and binary conversion together with block re-ordering method, fuzzification process, and block re-ordering method to identify and address side channel assaults, one of the issues in the quantum key distribution algorithms. By minimizing security losses, the Binary Conversion and Block Reordering with Fuzzification procedure improve the accuracy and authenticity of the data. According to the experimental findings, the mean rate of security harms using Binary Conversion and Block reordering with Fuzzifcation method is 0.69, whereas the mean rate using conventional approaches is 11.0, with standard deviations of 0.3785 and 6.055, respectively.