Chaos-Based Simultaneous Compression and Encryption for Hadoop

Abstract

Data compression and encryption are key components of commonly deployed platforms such as Hadoop. Numerous data compression and encryption tools are presently available on such platforms and the tools are characteristically applied in sequence, i.e., compression followed by encryption or encryption followed by compression. This paper focuses on the open-source Hadoop framework and proposes a data storage method that efficiently couples data compression with encryption. A simultaneous compression and encryption scheme is introduced that addresses an important implementation issue of source coding based on Tent Map and Piece-wise Linear Chaotic Map (PWLM), which is the infinite precision of real numbers that result from their long products. The approach proposed here solves the implementation issue by removing fractional components that are generated by the long products of real numbers. Moreover, it incorporates a stealth key that performs a cyclic shift in PWLM without compromising compression capabilities. In addition, the proposed approach implements a masking pseudorandom keystream that enhances encryption quality. The proposed algorithm demonstrated a congruent fit within the Hadoop framework, providing robust encryption security and compression.

Peer Review #2 of "Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective (v0.1)"

“…This paper [26] introduced a framework based on a masking pseudorandom key stream to increase the encryption quality and provide robust encryption security & compression during read and write operation when integrated in HDFS. Also, the researchers have proposed a scheme for Hadoop using simultaneous compression and encryption to solve the implementation issues.…”

An efficient construction of key-dependent substitution box based on chaotic sine map

“…[18][19][20] Generally, chaotic systems are employed to construct proficient cryptosystems. 21 -, 24 The distinguishing qualities of the chaotic maps are practicable for cryptography, for instance, randomness, mingling, and sensitivity; [25][26][27] all of these properties make chaotic maps a suitable option for achieving Shannon's concept of good practical secrecy systems. In addition to the theoretical study of the chaos, its potential applications in cryptosystem-based S-box have also been widely explored, 23,[28][29][30][31] Toward this end, chaotic dynamics was first employed in the construction of S-box by Jakimoski and Kocarev.…”

Enhancing Approach for Information Security in Hadoop

“…Security leak was controlled by performing the Apache Sentry for access control, triple encryption of knowledge using RSA, DES, and IDEA algorithms, was proposed in protecting classification system trusted fully homomorphic encryption. Parmar et al (Parmar et al, 2017) proposed a brand new method which will be utilized to secure Hadoop, an economical technique that works within the Hadoop cluster to offer it 3-D security Usama and Zakaria (Usama and Zakaria, 2017) proposed encryption and compression for Hadoop. HADOOP does not combine security tools.…”