## 2 Literature Review on Commerce Transaction Requests Encryption  
Despite the utilization of both symmetric and asymmetric encryption methods in e-commerce applications, significant challenges in terms of security and performance persist with the existing solutions. This section will offer comprehensive evaluations of current research studies related to the subject matter of our study. [PERSON] et al. [9] suggested a technique in the one-time pad (OTP) manner's flaw that can be concealed by altering each cipher text in the three pathways used in the three-passes protocol method. To modify the cipher text, a combination of the ElGamal and RSA algorithms is employed to generate super cipher text. The first and third lines are encrypted using RSA, while the second line undergoes encryption with the ElGamal algorithm. However, this approach presents several issues, including the usage of large initial numbers and complex operations, reliance on multiple keys with different lengths, vulnerability of the one-time pad due to the use of a single key for a single operation, and the susceptibility of the key to being easily cracked. [PERSON] et al. [10] submitted a proposal to develop a trustworthy algorithm for multi-factor authentication for mobile payment systems. In order to increase security when authenticating mobile money, they used a cutting-edge strategy that combined a personal identification number (PIN), an OTP, and a biometric fingerprint. Additionally, they used a quick response (QR) code and biometric fingerprint to validate a mobile money withdrawal. The privacy of the OTP and PIN is enforced by fast identity online (FIDO), which employs a biometric fingerprint and RSA standard public key cryptography in addition to Fernet encryption, to protect a QR code and the data in the datasets. The weaknesses in their proposal include the complexity and large mathematical operations of the RSA algorithm, leading to system slowdowns. Additionally, external conditions like exposure to burns and diseases can alter the fingerprint, impacting both the performance and security of their proposed system. [PERSON] [11] proposed a method to protect data in cloud computing, specifically using image double-level encryption through convolutional neural network (CNN) auto-encoders combined with advanced encryption standard (AES) and Fernet. The process involves processing, encrypting, and decrypting the source images to produce bitmap images as outputs, which users can then decrypt using a key. However, their proposal faces some challenges, such as the double encryption level affecting performance and the potential exposure of data and information to theft and damage when stored in cloud computing. [PERSON] [12] proposed a method that utilizes sensor technology and a smart platform for mining and analyzing e-commerce data. Based on the analysis, a new mobile e-commerce platform was designed, using Jingdong and Taobao as examples. Online evaluation surveys and research were conducted to determine the factors influencing logistics services and customer satisfaction under various logistics distribution models. However, there are some weaknesses in the proposal. Customer satisfaction is influenced by various factors, such as the quality of goods and services, delivery time, speed of delivery, and the attitude of delivery staff. The difference in delivery and delivery time can impact e-commerce platforms. The three-level system construction model increases user-server interaction, but also leads to a huge dynamic page containing both performance and generated data. This complexity poses security risks to the system and makes system development and maintenance challenging. [PERSON] et al. [13] proposed an agent program installed on each customer device to handle security and purchases automatically. The encryption algorithm used strikes a balance between time and complexity, with improvements made to the AES encryption.