Literature Review: Online Spammer Detection and Data Security Analysis

This literature review examines the critical issue of online spammer detection within the context of social media, highlighting the risks associated with data spamming, hacking, and malware. It explores the vulnerabilities of social media platforms, the techniques used by attackers, and the importance of secure networks and tools like firewalls and antivirus software. The review analyzes various research papers, including those by Wang et al. (2012), Miller et al. (2014), and Hu et al. (2013, 2014), to understand the impact of data spamming on user privacy and the effectiveness of online spammer detection methods. The research methodology section outlines the use of an inductive approach, a mixed research design, and both primary and secondary data collection methods, with ethical considerations to ensure data security and participant privacy. The review emphasizes the need for proactive security measures, encryption techniques, and user education to mitigate data spamming risks and protect personal information in the digital landscape. The conclusion emphasizes the importance of online spammer detection for enhancing data privacy and security in social media.