Information Security in Virtualized Data Center Network


It is a matter of common knowledge that internet is not secure. Many instances have shown that there are people in this huge interconnection of networks that want to, with various intentions, steal others information, disrupt service of a general service provider and attack into systems to gain access or to bring them down. Network security has turned out to be a fundamental element of every organization to ensure secure internet connectivity and protection against data breach. While many organizations have turned towards Data Center service providers to save their time and effort on the acquisition, installation, management and security of hardware, servers and other devices, Data Centers themselves are not secure from attackers on the internet. This is high time for Data Center to prove their trustworthiness to customers by not only securing their data but also by providing them isolation from other customers that share the same infrastructure and by providing uninterrupted service with a minimum amount of downtime. To secure Data Centers networks and prevent data breaches, different vendors and Data Center professionals have suggested various solutions out of which some have been discussed in this paper. Moreover, as Data Center technology has been developing to fully adapt to automation through software abstraction, virtualization has become an inseparable part of it. In this publication, we offer our concept of data security in virtualized datacenters, based on an improved authentication process. Its essence is to generate an authentication message code that is transmitted along with the encrypted data in the cloud. This block will have a fixed data size and will be based on an encrypted 128-bit key file and log file of the user. It will act as a cryptographic checksum and will be used to validate the hypervisor of the TDV masters when accessing data.



Encryption algorithm

Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL