Hybrid-Key Stream Cipher Mechanism for Hadoop Distributed File System Security

Big Data is a term used to describe a collection of huge data that none of the traditional data management tools are able to store or process it efficiently. Big Data has been speeded rapidly in many domains such as, social networks and other information systems. One of the main challenges of Big data is how to keep sensitive information private and secure. So, data protection is considered the major problem of big data. In this paper, a hybrid-Key Stream Cipher Mechanism (HKSCM) has been introduced to improve the time of encryption and decryption data. This proposed mechanism consists of the One-Time Password (OTP) encryption algorithm and the Advanced Encryption Standard (AES) algorithm. The performance of our proposed HKSCM mechanism has been evaluated with respect to the execution time and file size. These have been done by a comparative study among the AES algorithm, RC4 stream cipher algorithm, hybrid algorithm, and our proposed HKSCM mechanism. According to the comparative results, it is found that our proposed HKSCM mechanism outperforms the AES algorithm, RC4 stream cipher algorithm, and hybrid algorithm by 14%, 3%, and 8% on average respectively. In addition, the read/write performance of the data protection in the Hadoop Distributed File System (HDFS) has been improved.