Skip to content
Research Article Open access CC BY 3.0

User Perception of Security on Social Networking Sites Using Fuzzy Logic

Eric Afful-Dadzie, Arnošt Veselý

Current Journal of Applied Science and Technology · pp. 714–734 · Published 2 May 2013

10.9734/BJAST/2013/3296

Abstract

Human nature often frowns on engaging or interacting with near strangers. However, on online social media networks, this is largely ignored. There is an open interaction among both known users and loosely-connected users, and as a result, the normal social barriers against interacting with strangers are lowered. This rather careless openness has resulted in the rampant increase in cybercrime and identity theft worldwide, awaiting a potential privacy disaster in the near future. Since users raise concerns about the privacy and the security of social media sites, there is the need to evaluate the perception that users have of the security on social media sites. This paper presents a technique for evaluating user perception of level of security on social networking sites using fuzzy logic. The inputs to the system were fuzzy sets representing linguistic variables for information security evaluation goals of confidentiality, integrity and availability. The IF-THEN rules were constructed using the Mamdani fuzzy reasoning technique and the defuzzification technique was done using the centroid technique. The implementation of the design was carried out using the MATLAB Fuzzy logic tool box. Using three of the popular online social networking sites namely, Facebook, Twitter and LinkedIn the results show a system that can effectively be employed to evaluate user perception of Information Security.

Fuzzy logic social networking sites (snss) information security user perception

References (18)

  1. 1 Fuzzy sets
  2. 2 Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
  3. 3 Introduction to Fuzzy Logic using MATLAB [DOI]
  4. 4 Signals in Social Supernets [DOI]
  5. 5 Facebook's Privacy Trainwreck [DOI]
  6. 6 Civil Engineering Systems [DOI]
  7. 7 Fuzzy Online Risk Assessment for Distributed Intrusion Prediction and Prevention Systems [DOI]
  8. 8 Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic [DOI]
  9. 9 Conflicts Among the Pillars of Information Assurance [DOI]
  10. 10 Network Security Technologies and Solutions
  11. 11 Use of Fuzzy Sets to Evaluate Driver Perception of Variable Message Signs [DOI]
  12. 12 Loan Risk Analyzer based on Fuzzy Logic [DOI]
  13. 13 A metadata calculus for secure information sharing [DOI]
  14. 14 Fuzzy Logic Based Method for Network Information Security Risk Assessment [DOI]
  15. 15 Security evaluation criteria [DOI]
  16. 16 DETERMINATION OF WEIGHTS OF CRITERIA FOR DECISION MAKING BY THE FUZZY EIGENVECTOR METHOD [DOI]
  17. 17 A Comprehensive Evaluation Model of Network Information Security Based on Interval-Valued Fuzzy Mathematics [DOI]
  18. 18 Hierarchical Takagi-Sugeno Models for Online Security Evaluation Systems [DOI]

Cited by 8

Understanding the nittygrities of software reliability and its testing procedures: A different approach

S. Tyagi, Devendra Kumar, Sachin Kumar · 2017

Tracking progress of African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation method

Anthony Afful-Dadzie, Eric Afful-Dadzie, Stephen Nabareseh · Kybernetes · 2014

The use of Twitter to promote e-participation: connecting government and people

A. Al-Aama · Int. J. Web Based Communities · 2015

A Fuzzy Model for Service Value Assessment

M. Torsello, L. Iaquinta, Marco Comerio · UMAP Workshops · 2014

PEGOV 2014: 2nd international workshop on personalization in eGovernment services and applications

N. Loutas, Fedelucio Narducci, A. Ojo · 2014

Using fuzzy logic system for making decisions about information security in grid infrastructure

Nas Ukraine · 2013

PEGOV 2014 : 2 nd International Workshop on Personalization in eGovernment Services and Applications

N. Loutas, Fedelucio Narducci, A. Ojo · 2013

An Approach for Improving Performance of a Packet Filtering Firewall Based on Fuzzy Petri Net 67

A. A. Ali, S. Darwish, Shawkat K. Guirguis

Related research

Article metrics

Real usage data collected on this platform.

20

Page views

0

PDF downloads

1

Outbound clicks

8

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.