The week's pick
Reseach Article
ASCII based Technique of Obtaining Data Set to Perform Fuzzy Keyword Searching
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 1 |
| Year of Publication: 2017 |
| Authors: Pooja Prashar, Shivanku Mahna |
10.5120/ijca2017915510
|
Pooja Prashar, Shivanku Mahna . ASCII based Technique of Obtaining Data Set to Perform Fuzzy Keyword Searching. International Journal of Computer Applications. 176, 1 ( Oct 2017), 20-24. DOI=10.5120/ijca2017915510
Abstract
The world we live in is full of amazing art of science, where the role of technology is highly important. Hence, in such a conducive environment, major break-throughs are bound to happen. One such major development which has brought lot of positive results in the current scenario is how we save our information. Earlier, we used to save our data in tape based hard-disks and floppy drives, whereas now we are saving our data in some remotely located server or cloud based servers. However, it is quite evident that, with a positive aspect, there is always a drawback associated with it. One major drawback associated with the current practice of saving our data which cannot be ignored is situating the confidential files and folders at the risk of being exposed to unwanted people, so much so that the precious data loses its confidentiality and integrity. Another huge problem that arises with the usage of cloud is that, even in this day and age of artificial intelligence, where we are trying to predict and understand well in advance what other person is trying to say; searching on cloud is still not typo friendly. In this paper, we have tried to analyze the already existing fuzzy type searching algorithms and provide a completely innovative and more effectual method that aims at making searching typo friendly and efficient in time & space on any platform , be it windows, local hosting servers, cloud or backend servers. The ASCII based algorithm that we are going to suggest, will have its focus on finding a method that provides results in effective & efficient manner and yet does not compromises on the data integrity and confidentiality of the data being searched or being stored on the cloud/server. In order to do so, we have also used the encryption and decryption techniques like AES algorithm which is very safe and efficient. Making a system friendly to fuzzy type keyword searching will enhance its usability and make it typo friendly. We shall be using ASCII coding in order to quantify keywords similarity and for constructing fuzzy keyword sets.
References
- Daniyal M. Alghazzawi, Syed Hamid Hasan and Mohamed Salim Trigui, "Advanced Encryption Standard - Cryptanalysis research", 2014 International Conference on Computing for Sustainable Global Development.
- S. Chandragandhi and L. M. Nithya, "Optimizing fuzzy search in XML using efficient trie indexing structure", 2013 International Conference on Recent Trends in Information Technology (ICRTIT).
- Simran Bijral and Debajyoti Mukhopadhyay, "Efficient Fuzzy Search Engine with B -Tree Search Mechanism", 2014 International Conference on Information Technology.
- Seba Susan, Abhishek Jain and Aakash Sharma, "Fuzzy match index for scale-invariant feature transform (SIFT) features with application to face recognition with weak supervision" IET Image Processing, Volume: 9, Issue: 11, 11 2015.
- A. Behm, S. Ji, C. Li, and J. Lu, “Space-constrained gram-based assortment for economical approximate string search,” in Proc. of ICDE’09.
- D. Song, D. Wagner, and A. Perig, “Practical techniques for searches on encrypted information,” in Proc. of IEEE conference on Security and Privacy’00, 2000.
- He Tuo and Ma Wenping, "An Effective Fuzzy Keyword Search Scheme in Cloud Computing", 2013 5th International Conference on Intelligent Networking and Collaborative Systems.
- M. Armbrust and et.al, “Above the clouds: A berkeley view of cloud computing,” Tech. Rep., Feb 2009. [Online]. Available: http://www.eecs.berkeley.edu/Pubs/ TechRpts/2009/EECS-2009-28.html.
- Li Xue, Ren Wuling and Jiang Guoxin,"A solution which can support privacy protection and fuzzy search quickly under cloud computing environment", Proceedings of 2nd International Conference on Information Technology and Electronic Commerce, 20-21 Dec. 2014.
Index Terms
Keywords