Big Data Storage Security

Wen, Mei; Yu, Shui; Li, Jinguo; Li, Hongwei; Lu, Kejie

doi:10.1007/978-3-319-27763-9_6

Cited by 5 publications

(2 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since data compression techniques eliminate redundancy and data duplication [24], encrypted or random data cannot be compressed further. Compression techniques involve three processing stages: 1) data preprocessing, 2) removal of data duplication, and 3) bits’ reduction.…”

Section: Related Workmentioning

confidence: 99%

Chaos-Based Simultaneous Compression and Encryption for Hadoop

Usama

Zakaria

2017

PLoS ONE

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

Chaos-Based Simultaneous Compression and Encryption for Hadoop

Usama

Zakaria

2017

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The current mainstream method of central database to deal with these problems is to improve the difficulty of obtaining data management authority, to improve the security of access control, but it still depends on whether the decision is correct and trustworthy, and whether the decision center is safe [6]. Blockchain is a distributed database system based on peer-topeer network, it is the result of integrating many technologies, these technologies include P2P protocol, zero-knowledge proof, consensus mechanism, smart contract, this creates a new way of storing and processing data differently than before [7,8].…”

Section: Introductionmentioning

confidence: 99%

Design of personnel big data management system based on blockchain

Chen

Song

2019

Future Generation Computer Systems

169

View full text Add to dashboard Cite

h i g h l i g h t s• A method for solving blockchain information redundancy is proposed.• Analyze the shortcomings of the blockchain and the reasons for it. • Feasibility of combining blockchain with information management system. • Developed a prototype system to validate our ideas. a b s t r a c tWith the continuous development of information technology, enterprises, universities and governments are constantly stepping up the construction of electronic personnel information management system. The information of hundreds of thousands or even millions of people's information are collected and stored into the system. So much information provides the cornerstone for the development of big data, if such data is tampered with or leaked, it will cause irreparable serious damage. However, in recent years, electronic archives have exposed a series of problems such as information leakage, information tampering, and information loss, which has made the reform of personnel information management more and more urgent. The unique characteristics of the blockchain, such as non-tampering and traceability make it have great application potential in personnel information management, and can effectively solve many problems of traditional file management. However, the blockchain is limited by its own shortcomings such as small storage space and slow synchronization time, and cannot be directly applied to the big data field. This paper proposes a personnel management system based on blockchain, we analyzed the defects of the blockchain and proposed an improved method, constructs a novel data storage model of on-chain and out-of-chain that can effectively solve the problem of data redundancy and insufficient storage space. Based on this, we developed a prototype system with query, add, modify, and track personnel information, verified the feasibility of applying blockchain to personnel information management, explore the possibility of combining blockchain with big data.

show abstract