• Home
  • Search
  • Mining user Message Pattern for Suspicious Behavior on Terrorism using NLP in Social Networks with Single Sign-On
  • Cite Icon1
  • https://doi.org/10.17485/ijst/2017/v10i14/111364Copy DOI Icon

Mining user Message Pattern for Suspicious Behavior on Terrorism using NLP in Social Networks with Single Sign-On

Show More
  • Abstract
  • Literature Map
  • References
  • Citations
  • Similar Papers
Abstract

Objectives: To find an effective way to find Suspicious Behavior on Terrorism Using NLP in Social Networks with Single Sign-On in advance and prevent the massive destruction of life and property. Methods/Statistical Analysis: A survey has been made to understand the behavior of people using the social networking. Social networking has seen a massive growth for more than a decade and popular among people. So, taking this into consideration it aim at developing a monitoring system which continuously monitors user activity in the social network to find any suspicious activity regarding terrorism. Natural Language Processing Technique is used for analyzing the text data and Least Significant Bit algorithm is used for Steganographic images. Findings: In our research work, we have considered two social network sites - Gmail and Twitter. We work on real time dataset fetched from Gmail and Twitter. These social networks are continuously monitored for user behavior. The user data from Gmail inbox, sent items, tweets, sent and replied twitter messages are fetched and passed to Natural Language processing to extract the data patterns related to terrorism. Based on the threshold of terrorism related data, the user behavior would be classified as normal, little suspicious and offensive. It considers a single sign on of the user into social network. It has considered the user activity in two social networks to get a precise data. There are existing works analyzing on user sentiments, sarcasm, psychological effects, political, expert advice, and recommendations on user ratings. To my knowledge there is no work done on analyzing user data on more than one social network on text and image data to find their suspicious behavior on terrorism. Application/Improvements: In our application, we are using the real data set of the users from Gmail and Twitter account using single sign on. The work is to analyse both the users text information and image shared via Gmail to find the suspicious behavior on terrorism and categorize them to normal, little suspicious and offensive. This information can be shared with the investigation team, where they can take any precautionary action preventing the world from massive destruction of life and property.

Similar Papers
  • Research Article

「你今天f b了嗎」─心理諮商人員使用社群網站之經驗與決策探討

  • Jan 01, 2012
  • 李玆穎
  • Conference Article
  • Citations11

JSON Based Decentralized SSO Security Architecture in E-Commerce

  • Jan 01, 2008
  • Ye Jun +2
  • Research Article
  • Citations20

Determining Open Education Related Social Media Usage Trends in Turkey Using a Holistic Social Network Analysis

  • Jan 01, 2017
  • Educational Sciences: Theory & Practice
  • Mehmet Fırat +3
  • Book Chapter
  • Citations3

NLP Techniques and Challenges to Process Social Media Data

  • Jun 09, 2023
  • Tawseef Ahmad Mir +2
  • Research Article

Social Internet Networks and crime prevention: contemporary trends

  • Jun 04, 2018
  • National Technical University of Ukraine Journal. Political science. Sociology. Law
  • О І Бугера
  • Book Chapter
  • Citations1

Using Social Network Apps as Social Sensors for Health Monitoring

  • Jan 01, 2014
  • I Pagkalos +1
  • Research Article

Fake Instagram Account Detection using ML Algorithms

  • Feb 08, 2024
  • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
  • Dr.J.Jane Rubel Angelina
  • PDF
  • Research Article
  • Citations42

Social Applications: Revenue Models, Delivery Channels, and Critical Success Factors - An Exploratory Study and Evidence from the Spanish-Speaking Market

  • Jan 01, 2011
  • Journal of theoretical and applied electronic commerce research
  • Marcelo Nogueira Cortimiglia +2
  • Research Article
  • Citations12

Evaluation of the Effectiveness of Social Networks and their Usage by High School Students

  • Nov 30, 2014
  • Educational Process: International Journal
  • Chich-Jen Shieh
  • PDF
  • Research Article
  • Citations90

Centennials, FOMO, and Loneliness: An Investigation of the Impact of Social Networking and Messaging/VoIP Apps Usage During the Initial Stage of the Coronavirus Pandemic

  • Feb 09, 2021
  • Frontiers in Psychology
  • Elena Fumagalli +2
  • Research Article
  • Citations49

Attitudes and Practices of Surgery Residency Program Directors Toward the Use of Social Networking Profiles to Select Residency Candidates: A Nationwide Survey Analysis

  • Jan 13, 2012
  • Journal of Surgical Education
  • Pauline H Go +2
  • Book Chapter
  • Citations1

Role of Social Networking Sites in Enhancing Teaching Environment

  • Jan 01, 2017
  • Singanamalla Vijayakumar +4
  • PDF
  • Research Article
  • Citations130

User Stories and Natural Language Processing: A Systematic Literature Review

  • Jan 01, 2021
  • IEEE Access
  • Indra Kharisma Raharjana +2
  • Research Article

ЗАСТОСУВАННЯ СОЦІАЛЬНИХ ІНТЕРНЕТ-МЕРЕЖ ТА ІНТЕРНЕТ-БЛОГІВ У ПРОФЕСІЙНІЙ ПІДГОТОВЦІ МАЙБУТНІХ ТУРИСТІВ

  • Jan 01, 2021
  • GEOGRAPHY AND TOURISM
  • Olesya Dolynska
  • Conference Article

Social Networking – Boon or Bane? Student’s Perception of the Role Social Networking Plays in Helping (or Hindering) Learning

  • Jan 01, 2017
  • Maria Sagrario Resurreccion Simbulan
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.