Enhancing Data Security Through Advanced Scrambling Techniques: A Contemporary Approach
摘要
In the era of Artificial Intelligence, securing and safeguarding sensitive data is critical. Data security Scrambling is a data obfuscation mechanism, has historically been underutilized compared to encryption and decryption. This paper explores the novel applications of scrambling in data security along with the cryptographic methods. The innovative mechanism is analyzed with real-time applications and proposes a hybrid security model such as AHS (Adaptive Hybrid Scrambling) incorporated with adaptive scrambling. The Experimental results demonstrate that scrambling not only obfuscates data effectively but also increases resistance to side-channel and statistical attacks when used in tandem with encryption.