Enhancing Data Security through Hybrid Error Detection: Combining Cyclic Redundancy Check (CRC) and Checksum Techniques

Abstract

Error detection is a critical aspect of ensuring the accuracy of data transmission in communication systems. In this study, the performance of two error detection techniques has been investigated when combined to achieve a Bit Error Rate of 10^(-5)for single and multiple error detection ability. The two techniques studied were Cyclic Redundancy Check and Checksum with a new combination process. This proposed method showed that when CRC and Checksum were combined, the overall error detection performance significantly improved compared to using either technique alone. Specifically, the combined technique was able to achieve a BER of 10^(-5) for 6 given examples with higher accuracy and lower false positive rates. These findings demonstrate the potential benefits of combining error detection techniques to enhance the reliability of data transmission systems. These combinations were demonstrate using both VHDL and Python to identify the unexpected behavior of system before its utilization. The combination process provides 72 bits only for memory usage with 1 millisecond to finish checking and detecting process. These steps calculations and waveform are simulated using python for verification process based on overall combination steps. In addition, this paper provided a novel method for polynomial generation depending on the IP addresses of trusted sites. This evaluation of CRC generator was unique and provide double steps of protection for users in same or different networks.