Open Access   Article Go Back

A Survey on Novel Sequestration Adroitness to Secure Susceptible Micro Data

Ashok Koujalagi1

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 679-683, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.679683

Online published on Feb 28, 2019

Copyright © Ashok Koujalagi . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Ashok Koujalagi, “A Survey on Novel Sequestration Adroitness to Secure Susceptible Micro Data,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.679-683, 2019.

MLA Style Citation: Ashok Koujalagi "A Survey on Novel Sequestration Adroitness to Secure Susceptible Micro Data." International Journal of Computer Sciences and Engineering 7.2 (2019): 679-683.

APA Style Citation: Ashok Koujalagi, (2019). A Survey on Novel Sequestration Adroitness to Secure Susceptible Micro Data. International Journal of Computer Sciences and Engineering, 7(2), 679-683.

BibTex Style Citation:
@article{Koujalagi_2019,
author = {Ashok Koujalagi},
title = {A Survey on Novel Sequestration Adroitness to Secure Susceptible Micro Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {679-683},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3725},
doi = {https://doi.org/10.26438/ijcse/v7i2.679683}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.679683}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3725
TI - A Survey on Novel Sequestration Adroitness to Secure Susceptible Micro Data
T2 - International Journal of Computer Sciences and Engineering
AU - Ashok Koujalagi
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 679-683
IS - 2
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
240 208 downloads 102 downloads
  
  
           

Abstract

The sharing data issues with the high-quality airline props on various media outlets. The new supplier can try to collect information about the information provided by various suppliers. Revised dates are constantly increasing for conflict resolution data that keeps data specific. The plan provided community information based on the issue of unpublished collections of high-quality data from different data providers. Therefore, security, which ensures that non-media outlets are carrying out the security measures given to gather new producers. There will be customers M per customer to avoid purchasing an anonymous definition for each customer. To overcome this, there is a new system called coverage that offers better information on the use of all kinds of foods needed for high-level information.

Key-Words / Index Term

Data anonymization, Overlapping slicing, Data Privacy, Security, Integrity

References

[1]. Olvi L. “Mangasarian Privacy-Conserving Programs Linearized Partition” 2003.
[2]. P. Krishna Prasad and C. Pandu Rangan "BIRCH Algorithm Compliance with Censored Documents".
[3]. Ali Inan Yücel, Saygın Erkay, Sava Ayça, Azgın Hinto, Lu Albert Levi, Trustworthy Video Film Video.
[4]. Jaideep Vaidya And Chris Clifton Privacy-Conserving Decision Trees On Data Data Dissocially.
[5]. Zhiqiang Yang And Rebecca N. Wright The Powerful Date Of Bayesian Data On Special Physics The Ieee Transactions In Knowledge And Data Engineering Vol. 18 No. 9 September 2006.
[6]. Khuong Vu And Rong Zheng Jie Gao Algorithms Are Effective In Protecting K- Anonymous Participating In IEEE International Conference Proceedings-2012.
[7]. Sebastian Stepwieser, Peter Kieseberg, Isao Echizen, Sven Wohlgemuth, Noboru Sonehara And Edgar Weippl “An Algorithm for k- anonymity-based Fingerprinting”.
[8]. S. Goryczka L. Xiong And B.C.M. Fung M-Data Privacy Statement Of Proc. The 7th Intl. Conf. On A Collaborative Computer: Network Application and Distribution 2011.
[9]. W. Jiang And C. Clifton A Secure Distributed Framework For Success Of K-Anonymity Vldb J. vol. 15, no. 4, pp. 316–333, 2006.
[10]. L. Sweeney K-Not To Mention: A Model For Safeguarding Dignity Int. J. Uncertain. Fuzziness Knowledge-Based Syst. Vol. 10 No. 5 P. 557-570 2002.
[11]. C. Aggarwal On The K-Anonymity And Flood Measurement Proc. Agriculture Vldb P. 901- 909 2005.
[12]. Blum C. Dwork F. Mcsherry And K. Nissim Effective Dignity: Sulq Framework Proc. Acm Symp. Principles For Database System Pods P. 128-138 2005.
[13]. B.-C. Chen K. Lefevre And R. Ramakrishnan Skyline Privacy: Knowledge Of Different Knowledge Proc. Int L Ultimate Databases Vldb Pages 770-781 2007.
[14]. Dinur And K. Nissim Developing Media In Defense Proc. Acm Symp. Registry System Rules Pods P. 202-210 2003.
[15]. C. Dwork Another Partial Freedom: Observing The Result Proc. Fifth Int. Conf. Theory And Application Of The Model Calculation Tamc Pp. 1-19 2008.
[16]. J.H. Friedman J. L. Bentley And R.A. Finkel. Algorithm In Finding The Best Games During Logarithmic Expectations Acm Trans. Matematika. Software Vol. 3 No. 3 P. 209-226 1977.
[17]. D. Kifer And J. Gehrke Transactions In The Business Sector Proc. Acm Sigmod Int L Conf. Data Management Sigmod P. 217-228 2006.
[18]. N. Koudas D. Srivastava T. Yu And Q. Zhang “Aggregate Query Answering on Anonymized Tables,” Proc. IEEE 23rd Int‟l Conf. Data Eng. (ICDE), pp. 116-125, 2007.
[19]. K. Lefevre D. Dewitt And R. Ramakrishnan K-Anonymity Multianimensional Mondrian k-Anonymity Proc. Int L Conf. Data Eng. Icde 25 2006.
[20]. N. Li T. Li And S. Venkata subramanian T-Closeness: Privacy Except K-Unnamed And Diversity Proc. Ieee 23th Int Conf. Data Eng. Icde Pages 106-115 2007.