Software for Automatic Estimating Security Settings of Social Media Accounts
Ruslan Shevchuk, Andriy Melnyk, Oleh Opalko, Halyna Shevchuk
Abstract
Today, many users do not use the security settings provided by social media and are unaware of the risks that come with sharing too much personal information. In this research, security management on social media is considered. The paper discusses and investigates the awareness of security settings that impact social media users. The software for automatic estimating security settings of social media accounts is developed. The developed software allows estimate the security settings of Facebook and Instagram social media accounts and formulates recommendations for their improvement.
Topics & Concepts
Social mediaComputer scienceSoftwareInternet privacySoftware security assuranceComputer securitySocial securitySecurity awarenessInformation securityWorld Wide WebSecurity servicePolitical scienceLawProgramming languageSpam and Phishing DetectionComplex Network Analysis TechniquesNetwork Security and Intrusion Detection