![]() ![]() Because of the structural similarity, detection of ransomware and benign applications becomes vulnerable to evasion attacks. The attackers force the payment of a ransom in order to restore access to personal files. Ransomware continues to pose a significant threat to cybersecurity by extorting money from users by locking their devices and personal data. In addition, it can effectively determine modified patterns of ransomware and provide protection with minimum damage. Its speed of detection is very fast because it can be implemented in Android source code instead of mobile application. The proposed technique can detect ransomware even if you do not save its patterns. The information of suspected and exceptional processes confirmed by users is stored in a database. If the process running a suspicious ransomware is detected, the proposed system will stop the process and take steps to confirm the deletion of programs associated with the process from users. The proposed technique specifies and intensively monitors processes and specific file directories using statistical methods based on Processor usage, Memory usage, and I/O rates so that the process with abnormal behaviors can be detected. In this paper, an effective method is proposed to prevent the attacks of modified ransomware on Android platform. More effective technique is required to prevent modified ransomware. The existing vaccine systems are vulnerable to attacks of new pattern ransomware because they can only detect the ransomware of existing patterns. Due to recent indiscriminate attacks of ransomware, damage cases including encryption of users’ important files are constantly increasing. ![]()
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