The goal of any cryptographic system is the exchange of information among the intended users without any leakage of information to others who may have unauthorized access to it. A common secret key could be created over a public channel accessible to any opponent. Neural networks can be used to generate common secret key. In case of neural cryptography, both the communicating networks receive an identical input vector, generate an output bit and are trained based on the output bit. The two networks and their weight vectors exhibit a novel phenomenon, where the networks synchronize to a state withidentical time-dependent weights. The generated secret key over a public channel is used for encrypting and decrypting the information being sent on the channel.

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Everyone in the IT world is bustling with the cloud computing concept. Conversing about the catchphrase cloud, the terms like virtualization, resources, elasticity, security, pay per use basis hit the mind. A key stumbling block of motivating the IT sector towards cloud ethnicity is the lack of conviction on security. The cloud provider, in turn, also needs to insist on authoritarian of the security policies, making trust on the clients. To improve the mutual trust between costumer and cloud provider, a well-understood trust foundation needs to be in place. Keeping in mind this paper presents a new approach to provide five level securities to the data stored and accessed by the cloud user. In cloud, the data of the individual or an organization is stored tenuously and the client does not have any control over it, hence the security becomes a major dilemma. Keeping in mind of the security required, this paper introduces a strong authentication, confidentiality and integrity mechanisms for storing the data of client at the data center. The modernization of this method is to place identity and information separately on different level thus providing five -level security which have no direct communication between them, all working at different places.

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