An Effective Method for Detection of Untruthful Interpretations in Public Networks

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

An Effective Method for Detection of Untruthful Interpretations in Public Networks
Author(s):
KRISHNAIAH BOYANA, Dr.G.Venkateswara Rao, Mr.K.Bhaskara Rao, Mr.P.Ratna Prakash
Keywords:
Social Networks, TPR (True +Ve rate) and FPR (False +Ve rate), Uniform Resource locator
Abstract
Social Networks (SNs) have become indispensable parts of our daily lives in recent years, and their popularity is growing at an incredible rate. However, in addition to the revolution that Social Networks have wrought in community interaction, they have also posed a slew of challenges, one of which is the difficulty of categorizing bogus factions as humanoid, bot, or cyborg. We need a system that can detect the most recent social engineering attacks and help the study of live Twitter data. The system application that will be built can also be made available for use, and the data will be stored and created on the server. Such a system's design must protect user privacy, be user-friendly, and detect account misconduct. Furthermore, the detecting system should assign a score to the false user so that they can determine their level of genuineness, as well as allow a legitimate user to erase spam from their profile.
Article Details
Unique Paper ID: 154565 Publication Volume & Issue: Volume 8, Issue 11 Page(s): 528 - 532
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org