MULTI-CLOUD TOKENIZATION MODEL FOR SECURED DATA ACCESS

Computer Science and Engineering

Now-a-days, many organizations are migrating quickly towards cloud computing environment because it offers various services which includes IaaS (Infrastructure-as-a-Service), SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service), Storage, Database, Security, Process, Information, Application, Integration, Management, Testing-as-a-Service. These services are offered by cloud providers on pay-as-you-go basis. Companies no need to worry in maintaining storage disks and servers if they use cloud service’s platform to run their applications. Even the applications, services, or resources made available to users on demand via the internet from a cloud computing provider’s server. As Cloud computing systems are internet based, there are few concerns with the safety and privacy in managing sensitive data stored remotely. There is a possibility of data theft by hackers in such a case the entire sensitive data can be misused. To overcome this situation, cloud servers adapted various encryption policies to secure the data and this makes the process little bit slow when storing and retrieving the data. So, in this paper we proposed Multi-Cloud Tokenization Model which uses multi-cloud database servers for storing sensitive data along with uniquely generated tokens in one cloud database server and connecting these tokens to main user account and storing into another cloud database server. These tokens are generated in the database and there is no real meaning or mathematical relationship with the original data. But each real data is mapped to token that is uniquely generated in database either randomly or through any means like GUID or UUID (Globally or Universally Unique Identifier) and stored in token vaults, and only main identifier is mapped to generated tokens and stored in cloud database server. As we are not using any encryption policies the data processing and storage speed is comparably good than any of the previous methods. Even this tokenization can be offered as a cloud service for companies and users too. As per our study, there exists tokenization systems from long back but a formal study on this type of multi-cloud model has not been done, yet. So, we can say this process is very efficient and reliable to use after some research and thorough testing.

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