A Novel Cyber Threat Intelligence (CTI) Framework for Detecting Android Malware: Work on Progress
Andri Wijaya, Deris Stiawan, Abdiansah Abdiansah, Bhakti Yudho Suprapto, Iwan Pahendra Anto Saputra, Dian Palupi Rini, Sayfudin Sayfudin, Mohd. Yazid Idris, Rahmat Budiarto · 2024
The latest approach in cyber threat intelligence (CTI) is becoming increasingly crucial in detecting evolving cyber threats, including malware on Android devices. This problem is getting deeper when the number of Android users in Indonesia is increasing compared to other platforms. Therefore, it is necessary to develop a new method that integrates the CTI framework with the use of machine learning to improve the accuracy and speed in detecting Android malware. By utilizing intelligence data from structured threat reports, this method aims to identify suspicious patterns and abnormal behavior that may not be detected by conventional security systems so that with this updated security system it is proactive towards the development of new types of malware threats, with the hope of being able to make a significant contribution to strengthening especially mobile devices with the Android platform and being able to provide more effective solutions in reducing the risk of malware attacks on Android.