Real Time Analysis of Android Applications by Calculating Risk Factor to Identify Botnet Attack

摘要

With the rapidly-growing popularity of smartphones, there has been a drastic increase in downloading and sharing of third-party applications and user-generated content, making smartphones vulnerable to various types of cyber-attacks. Current studies on botnet are mostly discussed on detection of botnet only. Any precautionary model for avoiding propagation is not available to safeguard user's mobile services. The tools available for botnet detection are very limited and mainly focused on identifying either existing attacks or web based attacks. Focusing on these limitations of existing methods, main aim of the proposed research work is to enhance the security of mobile services by analysing several security issues in accessing mobile services. This research work is focused on safeguarding mobile phones from ever growing and varying technologies of botnet attack. To identify malicious applications on user's mobile phone, security application is developed which scans all applications installed and identifies probable harmful applications.