Email this article METHOD TO FILTER THE UNWANTED MESSAGES FOR OSN
Abstract
One key issues in the present (OSN) is to give clients a full capacity to control all the messages posted on their own space to keep up a key decent ways from that unwantedthings are showed. Upto now, OSNs offer a little help to the basic. To fill the gap thing, as of now, it has proposed a structure permitting clients to having a brief control over the messages that are posted on their space. This paper comprise of a writing study paper of the current frameworks with proposed framework as a procedure to channel comparative importance words utilizing Ontology alongside the fundamental usefulness to channel the OSN divider for undesirable message. There are different sorts of data sifting techniques specifically Content based separating strategy, Policy based sifting technique and Collaboration sifting strategy.
Keywords
Full Text:
PDFReferences
. Marco Vennetti, Elisabetta Binaghi, “Filtering the Unwanted Messages from OSN Walls”, IEEE on knowledge and data engineering, vol. 25, 2017
Sunil Yadav, S.Das,“A System to Filter unsolicited texts from social learning networks”, IEEE-31661 4th ICCCNT, vol. 4, 2016.
Sujapriya.S,G.Immanual,“Filtering Unwanted Messages from Online Social Networks”, Journal of Computer Engineering, vol. 16, 2018
S.B.Madankar, Anupama Mishra,“System to Filter Unwanted Message for OSN”,IEEE Transactions on data engineering, vol. 5, 2016
M.S.Priyanka Shalunke, Smita Bharne, “Filtering Unwanted Messages from OSN Walls”, International Conference on Innovation and Challenges, vol. 1, 2016
Swapnali V.Jadhava, Y.B.Gurav,“Filtering Unwanted Messages from OSN User Walls”, International Journal paper, 2017
Smitha Vishnu More, Madhumitha Chatterjee, “Multiparty access control mechanism for OSN”, International Conference on Computing, 2017
V.Vijeya Kaveri,S.Gopal, “Filtering Undesirable messages from Online Social Networks”, International Conference on Innovation Information, 2016
Tasnima Mansoor, Muhammed Masroor Ali, “Content Based Access controlling in Online Community”, International Conference on Information, 2017
Sayooran Nagulendra, Julita Vassileva, “Minimizing Social data Overloaded through interest based stream in social network”, IEEE, vol 13, 2016
Aboli S.Vairagade, Rupa A PAdnavis, “Automated Content Based Short text Classification For Filtering unwanted messages”, World Conference paper, 2016
SajidYousuf, Muhammed Abulaish, “identifying spammers in Online Social Networks”, International Conference in Social Networks, 2017
Xin Ruan, Zhenyua Whu, “Online Social Behaviors for compromised detecting of Spammers”, IEEE on Information Forensics, 2018
Tiantian Zhu, Hongyu Goa, “Fighting OSN Spam using its own templates”, IEEE/ACM transactions on networking, 2016
Micheal Fire, Roy Goldsmith, “Online Social Networks for Threats and Solutions”,IEEE Communications Journal paper, vol 11, 2017
MinasGjoka, CarterT.Butts,“Practical recommendations on Online Social Networks”, IEEE journal on communications, vol. 29, 2018
DOI: https://doi.org/10.26483/ijarcs.v11i0.6539
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 International Journal of Advanced Research in Computer Science
