| Title | Automatic Generation of Different Malware |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Çelık, Abdullah Emre, Dogru, Ibrahim Alper, Uçtu, Göksel |
| Conference Name | 2021 29th Signal Processing and Communications Applications Conference (SIU) |
| Keywords | automated malware generation, Human Behavior, Internet, Malware, malware analysis, malware dataset, malware dynamic analysis, malware static analysis, Metrics, mobil malware, Payloads, privacy, Programming, pubcrawl, resilience, Resiliency, sockets, software development management, static analysis |
| Abstract | The use of mobile devices has increased dramatically in recent years. These smart devices allow us to easily perform many functions such as e-mail, internet, Bluetooth, SMS and MMS without restriction of time and place. Thus, these devices have become an indispensable part of our lives today. Due to this high usage, malware developers have turned to this platform and many mobile malware has emerged in recent years. Many security companies and experts have developed methods to protect our mobile devices. In this study, in order to contribute to mobile malware detection and analysis, an application has been implemented that automatically injects payload into normal apk. With this application, it is aimed to create a data set that can be used by security companies and experts. |
| DOI | 10.1109/SIU53274.2021.9477845 |
| Citation Key | celik_automatic_2021 |
Automatic Generation of Different Malware