Safe Crypt: A Comprehensive Solution for Modern Cryptographic Security

Abstract

Big data analytics uses information from several sources, such as Internet of Things devices and smart meters, to find patterns and spur innovation. The attack surface for hackers is expanded by the connectivity of IoT devices. Data security solutions are essential for protecting sensitive data from theft, hacking, and breaches. Choosing the right cryptographic algorithms is crucial in the field of information security to provide a strong defense against unauthorized access and data breaches. As a crucial countermeasure to encryption, cryptanalysis fosters innovation and fortifies the system's defenses against possible intrusions. The purpose of this study is to assess and contrast the two-hybrid approaches, AES-RSA and ECC-AES. The metrics used to evaluate these approaches include data kinds, input dimensions, key lengths, and encryption times. An important criterion is computational efficiency, which is evaluated by comparing the encryption and decryption times of the two methods. The efficient utilization of cryptographic strengths is confirmed by comparing the produced key sizes for AES-RSA and ECC-AES to their theoretical values. Memory profiling methods are used to analyze memory utilization by elucidating patterns of use during operation.