Published Paper Details:

With the rapid growth of cloud computing, ensuring data security and resilience against sophisticated cyber threats has become increasingly critical. Traditional static encryption approaches are often inadequate against adaptive adversaries capable of exploiting predictable patterns. This paper proposes a novel Adaptive AES-Driven Encryption Framework integrated with Moving Target Defense (MTD) mechanisms to dynamically protect data in cloud environments. The framework enhances the Advanced Encryption Standard (AES) by introducing dynamic key generation, periodic cryptographic context switching, and intelligent attack surface shifting based on real-time threat assessment. By continuously altering the encryption parameters and resource configurations, the proposed model significantly reduces the attack surface and limits adversary reconnaissance. Experimental evaluations demonstrate substantial improvements in data confidentiality, key unpredictability, and defense robustness without compromising system performance. This work marks a significant step toward autonomous, adaptive, and proactive cloud security solutions.