Chain Defender: A Blockchain-Driven Machine Learning Framework for App Security

“Chain Defender: A Blockchain-Driven Machine Learning Framework for App Security”

M. Vasuki1, Dr. T. Amalraj Victoire, C.Balaji2

1Assistant Professor, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

2Associate Professor, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

0003Post Graduate student, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India

Corresponding author’s email address: Balajivmp9047@gmail.com

ABSTRACT
Android apps serve various purposes, including productivity, entertainment, communication, gaming, and utility. They leverage the capabilities of smartphones and tablets, providing users with a diverse and customizable experience. However, this widespread adoption has also attracted a darker side in the form of Android malware. Malicious applications, often disguised as legitimate software, exploit vulnerabilities within the Android OS to compromise user security and privacy. Recognizing the critical need to address the escalating threat of Android malware, the project aims to develop a robust Android malware detection system. This projecct intends to provide a proactive defense against evolving malware threats, ensuring the security and integrity of Android users and their devices.

Keywords: Remote Control option, UDP Communication, Mouse Share, Keyboard, Input Block