Enhanced Elliptic Curve Cryptography with MHOTP Key Generation and Visual Cryptography Based Image Authentication
摘要
These days, people are apprehensive about their data privacy as many cyber crimes are happening. There is a need to improve all current security methods to stay significant in this tech world. Visual cryptography is a secure method for encrypting observable data, like images or text, so that a human may decode it visually without the need for a computer. This technique divides the original photo or picture into multiple shares, which individually appear as a pointless pattern. When the pieces are joined, the first image or text appears, but an OTP(one-time password) is needed while penetrating the image. This system's most important point is its simplicity, making it easy to understand and secure. This research seeks to use visual cryptography to safeguard restricted visual information containing a one-time password(OTP) and improve security. The shares are created using a k-n threshold plan, where a limited number of shares is needed to reorganize the image, guaranteeing secure data sharing. We also explore existing cryptographic techniques, including symmetric and asymmetric cryptography, and suggest an improved system that merges visual cryptography with modern encryption techniques for improved data security. This system is unaffected by unauthorized access, as the shares alone seem like pointless patterns and cannot be decoded without proper combination. The proposed technique summarizes visual cryptography's encoding and decoding processes, featuring the simplicity, effectiveness, and real-time applications of this secure data transferal technique in the modern digital world.