Security and Privacy Awareness: A Survey for Smartphone User
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 9
Abstract
Smartphone becomes one of the most popular devices in last few years due to the integration of powerful technologies in it. Now-a-days a smartphone can provide different services as like as a computer provides. Smartphone holds our important personal information such as photos and videos, SMS, email, contact list, social media accounts etc. Therefore, the number of security and privacy related threats are also increasing relatively. Our research aims at evaluating how much the smartphone users are aware about their security and privacy. In this study, firstly we have taken a survey for smartphone users to access the level of smartphone security awareness displayed by the public. We also determine whether a general level of security complacency exists among smartphone users and measure the awareness of android users regarding their privacy. From survey result we have found that, most of the people are not aware about their smartphone security and privacy. Secondly, based on survey results, we have shown a method to measure the level of awareness (LOA) for the smartphone users. By using this method, a user can easily measure his/her smartphone security and privacy related level of awareness.
Authors and Affiliations
Md. Nawab Yousuf Ali, Md. Lizur Rahman, Ifrat Jahan
Keywords
Related Articles
- EP ID EP646207
- DOI 10.14569/IJACSA.2019.0100964
- Views 82
- Downloads 0
Symbolism in Computer Security Warnings: Signal Icons & Signal Words
Security warning is often encountered by the end users when they use their system. It is a form of communication to notify the users of possible consequences in the future. These threats have always been evolved with the...
A New Approach for Time Series Forecasting: Bayesian Enhanced by Fractional Brownian Motion with Application to Rainfall Series
A new predictor algorithm based on Bayesian enhanced approach (BEA) for long-term chaotic time series using artificial neural networks (ANN) is presented. The technique based on stochastic models uses Bayesian inference...
Tennis Player Training Support System based on Sport Vision
Sports vision based tennis player training support system is proposed. In sports, gaze, dynamic visual acuity, eye movement and viewing place are important. In sports vision, Static eyesight, Dynamic visual acuity, Contr...
E-learning in Higher Educational Institutions in Kuwait: Experiences and Challenges
E-learning as an organizational activity started in the developed countries, and as such, the adoption models and experiences in the developed countries are taken as a benchmark in the literature. This paper investigated...
Selection of Eigenvectors for Face Recognition
Face recognition has advantages over other biometric methods. Principal Component Analysis (PCA) has been widely used for the face recognition algorithm. PCA has limitations such as poor discriminatory power and large co...