An Effective Non-Commutative Encryption Approach with Optimized Genetic Algorithm for Ensuring Data Protection in Cloud Computing  

作　　者：S.Jerald Nirmal Kumar S.Ravimaran M.M.Gowthul Alam 

机构地区：[1]Anna University,Chennai,600025,India [2]M.A.M College of Engineering,Trichy,621105,India [3]Sethu Institute of Technology,Virudhunagar,626115,India

出　　处：《Computer Modeling in Engineering & Sciences》2020年第11期671-697,共27页工程与科学中的计算机建模（英文）

摘　　要：Nowadays,succeeding safe communication and protection-sensitive data from unauthorized access above public networks are the main worries in cloud servers.Hence,to secure both data and keys ensuring secured data storage and access,our proposed work designs a Novel Quantum Key Distribution(QKD)relying upon a non-commutative encryption framework.It makes use of a Novel Quantum Key Distribution approach,which guarantees high level secured data transmission.Along with this,a shared secret is generated using Diffie Hellman(DH)to certify secured key generation at reduced time complexity.Moreover,a non-commutative approach is used,which effectively allows the users to store and access the encrypted data into the cloud server.Also,to prevent data loss or corruption caused by the insiders in the cloud,Optimized Genetic Algorithm(OGA)is utilized,which effectively recovers the data and retrieve it if the missed data without loss.It is then followed with the decryption process as if requested by the user.Thus our proposed framework ensures authentication and paves way for secure data access,with enhanced performance and reduced complexities experienced with the prior works.

关 键 词：Cloud computing quantum key distribution Diffie Hellman non-commutative approach genetic algorithm particle swarm optimization 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]