File Sharing and Data Duplication Removal in Cloud Using File Checksum

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 6 Issue 2, January-February 2022 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD49416 | Volume – 6 | Issue – 2 | Jan-Feb 2022 Page 1331
File Sharing and Data Duplication Removal in
Cloud Using File Checksum
Gopi B, Murugan R
School of Computer Science and Information Technology,
Jain (deemed to be University), Bangalore, Karnataka, India
ABSTRACT
Data duplication uses file checksum technique to identify the
duplicate or redundant data rapidly and accurately. There may be the
chance of inaccurate result which can be avoided by comparing the
checksum of already exiting file with newly uploaded file. The file
can be stored using multiple attributes such as file name, date and
time, checksum, user id, and so on. When the user uploads the new
files the system will generates the checksum of the file and compare
it with the check of file that has already been stored. If the match is
found then it will update the old entry otherwise new entry will be
created into the database.
KEYWORDS: Database, Duplication, Entity, Data, Checksum,
Redundant, User id
How to cite this paper: Gopi B |
Murugan R "File Sharing and Data
Duplication Removal in Cloud Using
File Checksum" Published in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-6 |
Issue-2, February
2022, pp.1331-
1333, URL:
www.ijtsrd.com/papers/ijtsrd49416.pdf
Copyright © 2022 by author (s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
1. INTRODUCTION
The collection of information is known as data. The
data is increasing constantly in the digital universe. A
study suggests that at end of 2020 each person will
create 1.7 megabyte of data. It is also clear that the
rate of data production per day is about 2.5 quintillion
bytes of data. The reasons behind the growth of
multiple data are:
Multiple backup of data or file by single person.
Misuses of social media.
The hacking of the organisation system in 9/11 and
loss of data caused by illegal activity proved that loss
of data is major problem for the organization. This
event forces the organization to implement data back
of system in order to preserve their important data.
The organizations started keeping regular backup of
their data such as email, video audio etc. which
increase their storage unit. While backing the data
regularly, they end up with storing the duplicate data
multiple times which is the misuse of storage.
As the data is increasing constantly storing them and
managing them becomes more difficult. More data
requires more storage and more storage require more
cost as we have to increase the hardware or storage
unit. Only increasing the storage unit is not the
solution because we are not sure that how much
storage unit we have to add. Adding more number of
storage units makes system bulk and more costly.
So, the solution to above problem is proper
implementation of data duplication removal system.
The data duplication removal method stores the data
or file to the system if they are not stored previously.
If the match is found then it will update the old entry.
So this system will remove the duplicate data quickly
and saves the precious storage units.
2. SURVEY MOTIVATION
"Di Pietro, Roberto, and Alessandro Sorniotti"
discussed the security concern raised by de-
duplication and to address this security concern the
author utilizes the idea of Proof of Ownership
(POW). POW are intended to permit server to verify
whether a client possesses a file or not.
IJTSRD49416

International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
According To “Atishkathpal Matthew John Anf
Gauravmakkar”, data duplication removal is the
method of eliminating the duplicate data from the
storage devices in order to minimize the consumption
of memory in storage devices. Since, the concepts
were good but their system cannot work as they
intended due to poor management of hardware
devices and not easy to use which result in the under
performance of the system.
2.1. GOAL
Many work has been done in past in order to save the
storage problem that is caused by data duplication.
Data duplication has been the major problem and the
technology developed in past was not able to solve
the problem due to improper management of
technology.
2.2. LIMITATION
More processing time.
Chance of false result.
Not user friendly.
System maintenance is difficult.
2.3. KEYWORDS
Cloud computing, data storage, file checksum
algorithms, computational infrastructure, duplication.
3. SURVEY OUTCOMES
Data Deduplication increases the amount of unwanted
data in the storage unit by storing the multiple copy of
same file. Data duplication removal technique uses
file checksum technique to find duplicate or
redundant data quickly. The technique calculates the
checksum of the file when the file is uploaded and
checks the newly calculated checksum with the
checksum of file that are already store in database. If
the file is already present it will modify the file else it
will make new entry of file. In this system we are
going to use MD-5 hash algorithm, to detect the
duplicate file. MD-5 refers to Message Digest
algorithm which is 128 bit hash algorithm.
Advantages:
Faster file searching.
Reduce storage space by eliminating data
redundancy.
Ease to download and upload file.
4. CONCLUSION
This technique focus in developing web based
application that can find the redundant data quickly
and easily using file checksum technique. For
calculating the checksum of already existing files and
new file Message Digest (MD-5) algorithm is used.
MD-5 algorithm is used to calculate the checksum as
well as to provide the better security and encryption
to the valuable files of users. Hence, this system
removes duplicate file easily and quickly by
providing better security.
5. REFERENCES
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"Proof of ownership for de-duplication
systems: A secure, scalable, and efficient
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[3] Harnik, Danny, Alexandra Shulman-Peleg and
Benny Pinkas, "Side channels in cloud services,
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[4] Atishkathpal, Matthew John and
Gauravmakkar, "Distributed Duplicate
Detection in Post-Process Data De-
duplication", Conference: HiPC , 2011
[5] X. Zhao, Y. Zhang, Y. Wu, K. Chen, J.
Jiang, K. Li, "Liquid: A Scalable Deduplication
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[6] Stephen J. Bigelow, "Data Deduplication
Explained: http://searchgate.org", February,
2018
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duplication-technology-review
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International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
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