PRIVACY PRESERVATION USING AES ALGORITHM IN HADOOP ENVIRONMENT

Abstract

Many government agencies and businesses are focusing on security issues because of cybercrime. If we talk about Facebook which maintains large data for every user account but provides little privacy since privacy is very essential factor nowadays. Security helps in gain of the user’s interest and increase the growth of business. Privacy-Preservation is an important feature for any individual since his personal data should not be accessible to unauthorized people. In recent years, data mining has been viewed as a threat to privacy because wide range of data is spread in digital form by many companies. The data is stored in digital form in the computer. So some privacy should be preserved during data collection and data mining. Nowadays there are so many attackers attacking our data. That’s why privacy is so important factor that reduces the chances of attacks and increase the security. In this project, we proposed a method for processing the data file in encrypted form that is unreadable by unauthorized user and reduces the encryption and decryption time as compared to AES. This research also shows the results that have been practically proved by the implementation of existing algorithm and proposed algorithm. In proposed algorithm, we can execute the dataset that can be of size greater than computer RAM which cannot be done in AES. To give an approach for HDFS environment, useful for the improvement of HDFS Hadoop while dealing with big data, Privacy- Preservation should be our main concern. This Means, in HDFS the data is in plain form, which can be accessed and misused by anyone. So data should be in encrypted form to provide the privacy because even if a small piece of information is leaked by attacker, then it becomes difficult to handle data of TBs. So this approach for HDFS environment can be used to preserve the privacy. Here I have also compared the results with different kinds of parameters. The approach used here breaks the file into blocks and then block level encryption is used. The main objective here is to reduce the time of encryption and preserve the privacy to increase the security in HDFS environment.