• Senthil Kumar
• Thanasu Kannan

Cloud data allocation facility, which allows a group of user to work together to access and the shared data, is one of the most standard and effective working styles in the enterprises. So, in spite of having advantages of scalability and flexibility, cloud storage service comes with confidential and the security concerns. A direct method to defend the user’s data is to encrypt the data stored at the cloud. . In this research work, we suggest a Secure Cloud Model (SCM) that contains user authentication, and data scheduling. An innovative digital signature with chaotic secure hashing (DS-CS) is used for user authentication, followed by an enhanced work scheduling based on improved genetic algorithm to reduce the execution cost. We executed the proposed SCM in the Java simulator and estimated its performance in terms of throughput, Normalized schedule cost, Success rate, end to end delay and Number of Packet Loss.

Cloud Security, Digital signature, Chaotic secure hashing, authentication, work schedule.

"SCM: Secured Cloud Model defeating Un-authorization using digital signature with chaotic secure hashing and Work scheduling based on improved Genetic algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.44-52, August-2018, Available :http://www.jetir.org/papers/JETIR1808756.pdf

"SCM: Secured Cloud Model defeating Un-authorization using digital signature with chaotic secure hashing and Work scheduling based on improved Genetic algorithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp44-52, August-2018, Available at : http://www.jetir.org/papers/JETIR1808756.pdf