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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Detection Of Data Leakage In Cloud Storages

[Full Text]

 

AUTHOR(S)

Naresh Vurukonda, Allu Venkata Dattatreya Reddy, Gutta Chiranjeevi, Kancharla Raviteja

 

KEYWORDS

water marking,guilt agent, fake object, probability, automation

 

ABSTRACT

Leakage of sensitive data may leads to the loss of confidential and integrity. Some of the data may be leaked and found on web or untrusted users. Distributor have to take upon these situations in order to maintain data confidentiality and ensure a safe data transaction. Many small business authorities have data leak issues via internet or other means. We would like to propose a alternative methodology to implement in real world and it is different from traditional methods. Traditional methods contain “watermarking” and in some cases we can also inject “realistic but fake” data records to further improve our chances of detecting leakage and identifying the guilty party. But this also will not work if the guilt agent knows the fake objects. So the other method for getting the guilt agents is to be determined. Many methods have been in existence but every method is being override by other means using complex methodologies and by various combinations of the algorithms. These complex methods would secure much better than older ones. We are finding the agents by taking the parameters like how much time he is spending in the data, how many times he opened that file etc.... we can find the probability if the probability is more than the threshold value then we can conclude that the agent had compromised. In this model we use the previous methods knowledge to predict the agents or to over come in the solution.

 

REFERENCES

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