Adaptive Gan Assisted Encryption Model For Security Enhancement In Blockchain Backed Tokenized Digital Assets

Abstract

In The Present-day Age, Where We Are Highly Dependent On Technology, The Safe Transmission Of Confidential Or Personal Images Through The Internet Has Become Very Important. The Conventional Way Of Transmitting Or Sharing Images Is Done Through The Use Of Basic Authentication Protocols And Individual Encryption Methods, Which Might Not Be Enough To Combat Cyber-attacks And Other Dangers. In Order To Overcome These Problems, The Proposed System, Named SECUREGAN: Hybrid ECC-AES Encrypted NFT-Based Image Sharing System, Will Implement A Multilayer Security System, Combining Blockchain Technology For NFT Verification, GANs, And Encryption. In This Process, The User Registers Himself And Logs In To Transmit The Image As An NFT. Furthermore, GAN Is Employed To Create A Random Image That Serves As A Camouflage Layer, Thus Making It Extremely Difficult For An Attacker To Be Able To Decipher The Information Contained In The Image. Additionally, In Order To Increase The Security Of The Scheme, It Uses The Original Image And Combines It With The Random Image Generated Using The GAN Model. Then, The Data Is Split Into Multiple Shares. Each Of These Shares Is Subjected To Hybrid Encryption Using AES And ECC Cryptography. AES Is Used For Data Encryption, While ECC Is Used For Key Exchange. In This Manner, The Encrypted Shares Are Delivered To The Recipient Over Untrusted Channels. On Reception, The Receiver Uses The Cryptographic Key In Order To Decrypt The Shares, Merge Them, And Finally Reconstruct Both The Original And Random Images.

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