A Robust and Light Weight Authentication Framework for Hadoop File System in Cloud Computing Environment
Pages 463 - 468
Abstract
The advancement of web and mobile technologies results in the rapid augmentation of traditional enterprise data, IoT generated data, social media data which outcomes in peta bytes and exa bytes of structured and un structured data across clusters of servers per day. The storage, processing, analyzing and securing these big data is becoming a serious concern to large and medium enterprises. Hadoop or HDFS is a distributed file system based on cloud for storage and processing of large voluminous amounts of data across clusters of servers. Along with huge potential for dynamism for processing and scalability, HDFS also brought inherent security drawbacks like lack of authentication and authorization of remote user connecting to cluster, missing of encryption of sensitive data at communication, storage and processing levels. These existing drawbacks demands for a robust, light weight security framework for HDFS. In this context, we propose a secure and light weight remote user authentication framework for HDFS, which guarantees all the critical security requirements of a distributed file system.
References
[1]
Rahul, P. K. GireeshKumar T. 2015. A Novel Authentication Framework for Hadoop, International conference on Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 201), Vol 324, 2015, pp 333--340.
[2]
Venkata, N. I., Sailaja, A., and Srinivasa Rao, R. security issues associated with big data in cloud computing, International Journal of Network Security & Its Applications (IJNSA), Vol. 6, No. 3, May 2014.
[3]
Devaraj, D., Owen, O., 'Malley., Sanjay, R., Kan., Z., and, Adding security to Apache Hadoop, Horton works Technical report1, http://hortonworks.com/wp-content/uploads/2011/10/security-design_withCover-1.pdf.
[4]
Nivethitha, S., Gangaa A., and Shankar, S. Authentication Service in Hadoop Using one Time Pad, Indian Journal of Science & Technology, vol 7, pp 56--62, Apr 2014.
[5]
Sadasivam G.S., Kumari, K. A., and Rubika S. A Novel Authentication Service for Hadoop in Cloud Environment, IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), pp 1--6, oct 2012, India.
[6]
Jam, M.R, Khanli, L.M., Javan M.S., andAkbari, M.K. A survey on security of Hadoop, International eConference on Computer and Knowledge Engineering (ICCKE), pp: 716--721, 29-30 Oct. 2014, India.
[7]
Sandeep, K.S. "An Improved and Secure Smart Card Based Dynamic Identity Authentication Protocol", International Journal of Network Security, Vol. 14, PP. 39--46, Jan. 2012.
[8]
Zhou, Quan., Deqin, Xiao., Tang. H., and Chunming R. TSHC: Trusted Scheme for Hadoop Cluster, Fourth International Conference on Emerging Intelligent Data and Web Technologies (EIDWT), 9-11 Sept. 2013.
[9]
Ibrahim, L., and Ning, Zhang., MapReduce: MR Model Abstraction for Future Security Study, In Proc of the 7th International Conference on Security of Information and Networks, SIN '14, 9-11 Sep, Univ of Glasgow, 2014.
[10]
Yoon, S., J., and Yong, T., K. A token-based authentication security scheme for Hadoop distributed file system using elliptic curve cryptography, springer journal of Journal of Computer Virology and Hacking Techniques, February 2015.
[11]
James, D. and Ning, Zhang. Security issues relating to inadequate authentication in map reduce applications. In High Performance Computing and Simulation (HPCS), 2013 International Conference on, pages 281--288. IEEE, 2013.
[12]
Yoon, S., Jeong, Y., T., K. A token-based authentication security scheme for Hadoop distributed file system using elliptic curve cryptography, springer journal of Journal of Computer Virology and Hacking Techniques.
[13]
Bhushan, L. Open Source Authentication in Hadoop, Springer journal of Practical Hadoop Security, 2014, pp 51--74
[14]
Ibrahim, L., and Ning, Z. SIN '14 Proceedings of the 7th International Conference on Security of Information and Networks, MapReduce: MR Model Abstraction for Future Security Study.
[15]
Byoung, J.B, Young, J.K., Young, K.Kim., Ok, K.Ha., and Yong, K. An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks International Journal of Distributed Sensor Networks, Volume 2014.
Index Terms
- A Robust and Light Weight Authentication Framework for Hadoop File System in Cloud Computing Environment
Recommendations
'Big data', Hadoop and cloud computing in genomics
Graphical abstractDisplay Omitted Ever improving next generation sequencing technologies has led to an unprecedented proliferation of sequence data.Biology is now one of the fastest growing fields of big data science.Cloud computing and big data ...
An Attribute-Based Access Control Model for Secure Big Data Processing in Hadoop Ecosystem
ABAC'18: Proceedings of the Third ACM Workshop on Attribute-Based Access ControlApache Hadoop is a predominant software framework for distributed compute and storage with capability to handle huge amounts of data, usually referred to as Big Data. This data collected from different enterprises and government agencies often includes ...
Implementation of Distributed Searching and Sorting using Hadoop MapReduce
ICTCS '14: Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive StrategiesThis paper focuses on implementation of MapReduce programming model on Hadoop cluster for parallel processing of huge amount of data efficiently. There is deluge of data everywhere and we need to process these data efficiently to take decisions and to ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
August 2015
763 pages
ISBN:9781450333610
DOI:10.1145/2791405
- Editor:
- Indu Nair,
- General Chairs:
- Sushmita Mitra,
- Ljiljana Trajković,
- Program Chairs:
- Punam Bedi,
- Suzanne McIntosh,
- M. S. Rajasree
Copyright © 2015 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 August 2015
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
WCI '15
WCI '15: Third International Symposium on Women in Computing and Informatics
August 10 - 13, 2015
Kochi, India
Acceptance Rates
WCI '15 Paper Acceptance Rate 98 of 452 submissions, 22%;
Overall Acceptance Rate 98 of 452 submissions, 22%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 212Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 11 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in