• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2012 Vol.1(4): 375-376 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2012.V1.100

Preservation of Privacy in Data Bases

Manish Tiwari and Rakesh Rathi

Abstract—In the modern world data privacy is very important during the Transaction process. Whenever user give his/her information he is not sure whether the information will be secure or not. Privacy Preservation mainly deals with the hiding of the user data with his/her choice. In our paper we basically dealing with the privacy issue that is how it can be secure during the time it travels to databases/data warehouse. For this purpose we implemented the algo based on bayes Estimation. This algo basically works on bayes probability that is we basically applied on the email system. Whenever the user types any mail his whole mail will be process through our algo which uses the word list from the stored data base and if the mail is fine and not contains any threat material than it will get stored in the data base. Our algo basically counts the conditional probability of the words from the number which is given in the data base. First of all words are assigned the threat numbers according to the previous usage in the transaction process in internet than their total count is done which finally uses in the probability. This probably if greater than assigned probability i.e. in our case .5 than it will get stored in the database otherwise it gets discarded.

Index Terms—Bayes, database, probablity

The authors are with the Department of Information Technology and Computer Science Government Engineering College Ajmer (e-mail:manish.j.tiwari@gmail.com)


Cite: Manish Tiwari and Rakesh Rathi, "Preservation of Privacy in Data Bases," International Journal of Future Computer and Communication vol. 1, no. 4 pp.375-376, 2012.

Copyright © 2008-2018. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net