Effective Governance through Big Data: Computerized Revolution of Open Agencies
Rashmi G.B1 , Malatesh S.H2
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-4 , Page no. 119-127, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i4.119127
Online published on Apr 30, 2019
Copyright © Rashmi G.B, Malatesh S.H . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Rashmi G.B, Malatesh S.H, “Effective Governance through Big Data: Computerized Revolution of Open Agencies,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.119-127, 2019.
MLA Style Citation: Rashmi G.B, Malatesh S.H "Effective Governance through Big Data: Computerized Revolution of Open Agencies." International Journal of Computer Sciences and Engineering 7.4 (2019): 119-127.
APA Style Citation: Rashmi G.B, Malatesh S.H, (2019). Effective Governance through Big Data: Computerized Revolution of Open Agencies. International Journal of Computer Sciences and Engineering, 7(4), 119-127.
BibTex Style Citation:
@article{G.B_2019,
author = {Rashmi G.B, Malatesh S.H},
title = {Effective Governance through Big Data: Computerized Revolution of Open Agencies},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {119-127},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4005},
doi = {https://doi.org/10.26438/ijcse/v7i4.119127}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.119127}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4005
TI - Effective Governance through Big Data: Computerized Revolution of Open Agencies
T2 - International Journal of Computer Sciences and Engineering
AU - Rashmi G.B, Malatesh S.H
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 119-127
IS - 4
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Big Data is field that get ways examine, efficiently extricate data from, or generally manage informational index that are excessively vast or complex. There are along discussion and exchange on the utilization of huge information for the change of customary open organization to current and keen open organization in the academician, scientists and strategy producers. Writing demonstrates that various models have been created to clarify shrewd administration nut deliberate research on the reasonableness and pertinence huge information for savvy administration of open offices is as yet missing for information security. The discoveries recommend that each open part office ought to be brought under shrewd administration which ought to be a completely advanced under huge information advances for simple access, straightforward and responsible ,and bother free open offices yet absence of security for the information. In proposed successful administration has a huge job in convenient ,mistake free, proper, and savvy administration conveyance to natives which prompts the reasonable monetary advancement of a nation and which ought to be a completely advanced under enormous information innovations for simple access ,straightforward and responsible and bother free open offices by utilizing MapReduce calculation. Essentially giving security of information utilizing a few calculations like encryption and decoding on information .In this proposed framework information will be encoded while putting away into the dataset. At the point when client looking through the, information will be encode and decode and show for client .For encryption and unscrambling we are utilizing ECC calculation. We are sending details to client by means of email.
Key-Words / Index Term
Hadoop, Big data, MapReduce, Security. Encryption, ECC
References
[1] Yueqian Xu, “E-governament and governance in china ,” in IEEE , 978-1-4244-5326-9,2010.
[2] R.D.Pathak,Gurmeet Singh,Rakesh Belwal,REL Smith, “Governance and corruption -Developments and Issues in Ethopia.” Springer , volume 7,2007.
[3]. Alfredo Cuzzocrea, “Privacy Preserving Big data Stream, mining: Opportunities, Challenges, Directions”.IEEE,2017.
[4]. Huai Jinmei, “Quality Evaluation of E-Government Public Service” IEEE 2011.
[5] Nuno vasco Lupes , “ Smart Governance : a key factor for Smart cities Implementation”, IEEE , 978-1-5386-0504-2/17,2017
[6] K. Schedler, A. A. Guenduez, and R. Frischknecht, “How smart canthe government be? – discussing the barriers to smart governmentadoption,” in IPMN Conference, 2017, pp. 1–17.
[7] S. Mellouli, L. F. Luna-Reyes, and J. Zhang, “Smart government,citizen participation and open data,” Inf. Polity, vol. 19, no. 1–2, pp.1–4, 2014.
[8] H. J. Scholl and M. C. Scholl, “Smart Governance: A Roadmap forResearch and Practice,” in iConference 2014 Proceedings, 2014, no.1.
[9] M. N. I. Sarker, Y. Bingxin, A. Sultana, and AZM S. Prodhan,“Problems and challenges of public administration in Bangladesh: apathway to sustainable development,” Int. J. Public Adm. Policy Res.,vol. 3, no. 1, pp. 16–25, 2017.
[10] E. Ogbuju, I. Aminu, and A. M. Peter, “Towards a Data-driven SmartGovernance in Nigeria,” IEEE,2016 .
[11] K. C. Desouza and B. Jacob, “Big Data in the Public Sector: Lessonsfor Practitioners and Scholars,” Adm. Soc., vol. 49, no. 7, pp. 1043–1064, 2017.
[12] J. Manyika et al., “Big data: The next frontier for innovation,competition, and productivity,” IEEE,2011.
[13] Shankar M.Patil,Praveen Kumar, “Data Mining Model for Effective Data Analysis of Higher Education Students Using MapReduce”,IJERMT,ISSN:2278-9359,Vol.6,Issue 4,April 2017.
[14] Madhavi Vaidya,"Parallel Processing of cluster by MapReduce",IJDPS,Vol.3,No.1,2012.
[15] Rakesh.S.Shirsath,Vaibhav A.Desale,Amol D.Potgantwar, “Big Data Analytical Architecture for Real-Time Applications” IJSRNSC, ISSN: 2321-3256 ,Volume-5, Issue-4, August 2017
[16] V. Kapoor , “A New Cryptography Algorithm with an Integrated Scheme to Improve Data Security” IJSRNSC, ISSN: 2321-3256 ,Volume-1, Issue-2, June- 2013.
[17] Anitya Kumar Gupta, Srishti Gupta, “Security Issues in Big Data with Cloud Computing”,IJSRCSE, E-ISSN: 2320-7639 Vol.5, Issue.6, pp.27-32, December -2017 .
[18] K. Parimala, G. Rajkumar, A. Ruba, S. Vijayalakshmi, “Challenges and Opportunities with Big Data” IJSRCSE, E-ISSN: 2320-7639 Vol.5, Issue.5, pp.16-20, October-2017.