Big Data and Hadoop-a Study in Security Perspective

Saraladevi, B.; Pazhaniraja, N.; Paul, Peter V.; Basha, M. S. Saleem; Dhavachelvan, P.

doi:10.1016/j.procs.2015.04.091

Cited by 121 publications

(54 citation statements)

References 7 publications

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“…Hadoop contains three nodes-name node, data nodes, an edge node. Name node does the main functionality of HDFS (Data Processing is done here) [5], Data node is used to store data, and edge node maintains relationship between name node and data node. A security mechanism has been employed between the user and name node, using this mechanism user must validate them self to access name node.…”

Section: Security For Hadoopmentioning

confidence: 99%

Privacy and Security in Big Data Management

Rannels¹,

Falconieri²,

Phillips³

et al. 2018

IJRTER

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Abstract-Finding new ways to take advantage of big data, small or big organizations need high security techniques end efficient policies to guarantee their systems. In big data, it is very difficult to store data and analyse these data with conventional techniques. It is though that the traditional mechanisms are not efficient on big data security and privacy challenges. Different challenges include Hadoop security, cloud security and monitoring and auditing, etc. Big data deals with different data formats, data collection done from different sources, streaming of data may cause security problems the existing systems led to the violation of the individual privacy control. Data should be shared in a secure environment without violating people's privacy to overcome such complex issues, it is necessary to implement some set of rules and regulations in performing data sharing, authentication process, in generating personal information, and misusing of the system. With respect to these problems, proposed system introduced some mechanism challenging security and privacy issues for both user and application oriented.

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Section: Security For Hadoopmentioning

confidence: 99%

Privacy and Security in Big Data Management

Rannels¹,

Falconieri²,

Phillips³

et al. 2018

IJRTER

View full text Add to dashboard Cite

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“…Similarly some tools are developed like Hadoop; kerberos technology can be used for big data storage. [4].…”

Section: Security Issuesmentioning

confidence: 99%

“…It also decreases the data loss and prevents corruption of the file system. [4]. HDFS stores data on the compute nodes, providing high aggregate of bandwidth across the cluster.…”

Section: Hdfs(hadoop Distributed File System)mentioning

confidence: 99%

“…Also this approach is introduced on Hadoop module to view all the sensitive information in 360° to find whether all of the secured information are stored without any risk, and allows the authorised person to preserve personal information in a right way. [4] …”

Section: Bull Eye Algorithm Approachmentioning

confidence: 99%

“…The data that is small which collected in big size forms a terms called Big data and in real time. [4] The five main terms that signify Big Data have the following properties: [7] a) Volume: Many factors contributes towards increasing Volume-storage transaction data, live streaming data and data collected from the sensors etc. b) Variety: Today the data comes in all types of formats from traditional databases, text, documents, emails, videos, audio, transactions etc c) Velocity: It means how fast the data is being produced and how fast the data needs to processed to meet the demand.…”

Section: Introduction 11 Big Datamentioning

confidence: 99%

See 2 more Smart Citations

Security of Big Data in Hadoop Using AES-MR with Auditing

Tondon¹,

Khurana²

2017

IJARCSSE

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Abstract-While studying the various papers , I had gone through various methods and techniques adopted by author in securing the Big data.With the recent development in technology, networking and cost reduction in the storage devices, today we are flooded with the huge amount of data. Big Data analysis is now used in almost every state of our society, marketing, communication services, banking , research etc. The big data phase has shown the ways for many huge opportunities in the field of science, economic decision, educational system,healthcare system and novel forms of the public interaction and entertainment. But these opportunities also results into challenges in the area of privacy and security. Big data uses huge quantity of data that may be available in the cloud and it may require data processing distributed across the numerous servers. It is found that the development progress of big data also intensified and gave birth to the threats to the field of information security. This paper focuses on the big data and various privacy issues related to it.

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Big Data Storage and Analysis

Dhanda

2022

Advances in Data Science and Analytics

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Big Data and Hadoop-a Study in Security Perspective

Cited by 121 publications

References 7 publications

Privacy and Security in Big Data Management

Privacy and Security in Big Data Management

Security of Big Data in Hadoop Using AES-MR with Auditing

Big Data Storage and Analysis

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