IRJET- Secure Social Network using Text Mining
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This document proposes a secure social network that uses text mining techniques. It discusses authenticating users with Aadhar numbers to allow only one account per user. It aims to restrict improper words and vulgar images/videos by maintaining dictionaries of abusive terms and notifying users about tagged inappropriate content. The proposed system focuses on privacy, restricting multiple accounts and abusive content through authentication, keyword detection, and notification processes to make user profiles and posts more secure.
![International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1041
Fig -1: Flowchart of the Proposed System
3.2 Friend Suggestion, Keyword Extraction and
matching with dataset
In this module all the registered usershas been able to send
friend request to the another authenticate users whoever
available in their friend suggestion list. If the request is
accepted then these users are view in their friend list. Also,
users can able to post textual content on the wall of their
friends. But here ,we are avoiding the posting of abuse
words. Because Security is one of the important concernfor
any social media to make the user’s profile clean. So we are
maintaining a dictionary of abusive words if anybody try to
use these words in their post then this post will be
discarded by administrator
3.3 Prevent abuse/vulgar image posting:
Here, in this module we are going to prevent the posting of
vulgar images on user wall. To prevent the vulgar/abusive
images we are providing a notification to those users who
are tagged by user for posting .so that notification is view at
notification page of tagged users and then tagged user
decideswhether he/she wantsto post thatimageonhis/her
post wall. If he denies to post that image he will never see
the post related to this.
4. Future Work
Here we work only on the text data to identify that it is
abused or not and provide the authority to post it by going
throw it we get the problem for vulgar image ,videosrelated
to abuse any communitiesor religions etc., identification. In
future reference we will work on it to make it more secure
and user friendly.
5. Conclusion
It has been observed that privacy and security concerns are
very important in the social networking sites and the users
endeavors to make the appropriate changes on their social
media privacy is substantially lower than other mode of
security operations. Hence, we had given the possible root
cause of the unsecure sites and proposed the changes to
take over for the security and privacy concerns of social
networking site. Here we providesall kindsofsecuritytoour
social site by using authentication, prevent abuse posting
and spam and non spam keyword detection.
REFERENCES
[1]Anjitha, Harsha, “Secure Authentication and Cyber Crime
Mitigation for Social Networking Sites”,InternationalJournal
of Science and Research (IJSR) ISSN (Online): 2319-
7064,Volume 5 Issue 5, May 2016.
[2] Dan Gunter, Solomon Sonya “The Danger of Data
Exfiltration over Social Media Sites” Western International
University.
[3] Adu Michael K, Alese Boniface K and AdewaleOlumide S.
“Mitigating Cybercrime and Online Social NetworksThreats
in Nigeria” Proceedings of the World Congress on
Engineering and Computer Science 2014 Vol I WCECS 2014,
22-24 October, 2014, San Francisco, USA.
[4] Senthil Kumar N , Saravanakumar K, Deepa K, “On
Privacy and Security in Social Media – A Comprehensive
Study”, International Conference on Information Security &
Privacy (ICISP2015), 11-12 December 2015, Nagpur, INDIA
[5] L.S.Y. Dehigaspege, U.A.A.S. Hamy, H.A.H. Shehan, S.A.
Dissanayake, H.P. Dangalla, W.H.I. Wijewantha and
DhishanDhammearatchi, “Secure Authentication:Defending
Social Networks from Cyber Attacks Using Voice
Recognition”, International JournalofScientificandResearch
Publications, Volume 6, Issue 10, October 2016 ISSN 2250-
3153](https://image.slidesharecdn.com/irjet-v5i3237-190112045553/85/IRJET-Secure-Social-Network-using-Text-Mining-2-320.jpg)
IRJET- Secure Social Network using Text Mining
- 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1040 Secure Social Network Using Text Mining YogeshMalode1, AkshaySawade2, Surbhi Jais3, Shubham Nandanwar4, ManjushaMeshram5, SampadaBhoyar6 1,2,3,4,5,6 Department of Information Technology, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Social media is the name suggest is the large collection of the data for which the traditional data processing techniques are not sufficient. Social media istoday gaining popularity very fast in the internet. Many socialmedia sites like Face book are using the huge data storage mechanism. In this project, we will discuss about that data storage and its security of social site .Here we are going to implement some module like, One user account by authenticating user registration. This is for the security purpose one user can only make it one account. To overcome the problem of multiple accounts by one user we are working on this objective. Also we are going to restrict posting of vulgar/improper words. This is one of the most important concern for any social media to make the user’s profile clean and protected. So we are maintaining a dictionary of abusive words so that if anybody try to use these words in their post then this post will be discarded by administrator. Finally we are concentrate on Preventing abuse/vulgarimagesandvideo posting. Key Words: Authentication; restrict; Data processing techniques; Vulgar 1. INTRODUCTION Social networks have become a part of human life. Starting from sharing information like text, photos, messages, many have started share latest news, and news related pictures in the Media domain, question papers, assignments, and workshops in Education domain, online survey, marketing, and targeting customers in Business domain, and jokes, music, and videos in Entertainment domain. In the larger context of data mining, a considerablemeasureofproductive analyzing so as to learn can be found advanced records of human conduct in interpersonal organizations without breaching the users’ privacy. Thus, information ought to be made accessible in a manner that privacy should be safeguarded and protection is extremely scrutinized. The specific instance of interpersonal organizations, the most grounded measure that can be received is to make unflinching quality of individual’sprivacy whoexpressesthe affiliation. As a matter of fact, we can consider Facebookthat it is not just a positive relationship with an online substance additionally as center doled out by the social users. Maintaining privacy of the register users isthecentralroleof the authorities and any deviation of policy given would totally wreck the organizational policy governance which in turn leads to serious havoc to the fundamental rights of society. In the larger context of data mining, a considerable measure of productive analyzing so asto learn can be foundadvanced records of human conduct in interpersonal organizations without breaching the users’ privacy. Thus, information ought to be made accessible in a manner that privacy should be safeguarded and protection is extremely scrutinized. On the other hand, the suspicion that any outsider which is intrigued to break down information can be viewed as reliable is truth be told unlikely, because of the key point of preference that the usage of all information, including recognizing and delicate ones, may provide for these gatherings. Due to the specific instance of interpersonal organizations, the most grounded measure that can be received is to make unflinching quality of individual’s privacy who expresses the affiliation. Advance development of technology internet plays an important role. When pointing out internet social networking is an essential thing to people, theusageofsocial networking sites is dramatically high compared to other websites. Reason behind this is people who lives in 21st century hasbeen addicted to social networking sitesto keep connection with others. Social networking sites are not only to communicate or interact with each other currently it is used as a way of business promotion. Due to tremendous growth of social networking sites it also under arrested to cyber-attacks. This issue has led even with data sharing process, this raise number of cyber issues on security and privacy through social networking sites. 2. Problems in existing system Registered user can post any message, pictures, video any time anywhere to any person. No restriction for posting (messages, videos, images ) and only some basic restriction on viewing of profile. 3. Proposed Methodology 3.1 Authentication: Here we maintain the authenticate users dataset with its Aadhar no. When particular user get registered at that time we get some details from them. Firstly Adminwillverifythat particular user is authenticate or not by matching their details with our dataset details .once the particular user is verified Admin allow them for login. If details is not get verified then Admin denied the services of login for particular user.
- 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 03 | Mar-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1041 Fig -1: Flowchart of the Proposed System 3.2 Friend Suggestion, Keyword Extraction and matching with dataset In this module all the registered usershas been able to send friend request to the another authenticate users whoever available in their friend suggestion list. If the request is accepted then these users are view in their friend list. Also, users can able to post textual content on the wall of their friends. But here ,we are avoiding the posting of abuse words. Because Security is one of the important concernfor any social media to make the user’s profile clean. So we are maintaining a dictionary of abusive words if anybody try to use these words in their post then this post will be discarded by administrator 3.3 Prevent abuse/vulgar image posting: Here, in this module we are going to prevent the posting of vulgar images on user wall. To prevent the vulgar/abusive images we are providing a notification to those users who are tagged by user for posting .so that notification is view at notification page of tagged users and then tagged user decideswhether he/she wantsto post thatimageonhis/her post wall. If he denies to post that image he will never see the post related to this. 4. Future Work Here we work only on the text data to identify that it is abused or not and provide the authority to post it by going throw it we get the problem for vulgar image ,videosrelated to abuse any communitiesor religions etc., identification. In future reference we will work on it to make it more secure and user friendly. 5. Conclusion It has been observed that privacy and security concerns are very important in the social networking sites and the users endeavors to make the appropriate changes on their social media privacy is substantially lower than other mode of security operations. Hence, we had given the possible root cause of the unsecure sites and proposed the changes to take over for the security and privacy concerns of social networking site. Here we providesall kindsofsecuritytoour social site by using authentication, prevent abuse posting and spam and non spam keyword detection. REFERENCES [1]Anjitha, Harsha, “Secure Authentication and Cyber Crime Mitigation for Social Networking Sites”,InternationalJournal of Science and Research (IJSR) ISSN (Online): 2319- 7064,Volume 5 Issue 5, May 2016. [2] Dan Gunter, Solomon Sonya “The Danger of Data Exfiltration over Social Media Sites” Western International University. [3] Adu Michael K, Alese Boniface K and AdewaleOlumide S. “Mitigating Cybercrime and Online Social NetworksThreats in Nigeria” Proceedings of the World Congress on Engineering and Computer Science 2014 Vol I WCECS 2014, 22-24 October, 2014, San Francisco, USA. [4] Senthil Kumar N , Saravanakumar K, Deepa K, “On Privacy and Security in Social Media – A Comprehensive Study”, International Conference on Information Security & Privacy (ICISP2015), 11-12 December 2015, Nagpur, INDIA [5] L.S.Y. Dehigaspege, U.A.A.S. Hamy, H.A.H. Shehan, S.A. Dissanayake, H.P. Dangalla, W.H.I. Wijewantha and DhishanDhammearatchi, “Secure Authentication:Defending Social Networks from Cyber Attacks Using Voice Recognition”, International JournalofScientificandResearch Publications, Volume 6, Issue 10, October 2016 ISSN 2250- 3153