IDENTIFICATION OF DISTRIBUTED MALWARE

Mobile phones have transitioned from basic communication tools to sophisticated handheld computers, equipped with numerous applications that enhance the significance of personal data. This transformation renders these devices attractive targets for cybercriminals, especially Android, which is the most widely used and open-source operating system, drawing the attention of various malware creators. Malware has evolved from simple infections to advanced threats, such as distributed denial-of-service (DDoS) attacks using botnets. A notable emerging trend is the rise of a new type of distributed malware on Android, where applications that appear innocuous on their own can collaborate to carry out harmful actions. This paper introduces the concept of this distributed malware, explores its capacity to bypass existing security measures, and presents detection techniques utilizing graph matching algorithms.