All Outputs (2)

A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices (2023)
Book Chapter
Turnbull, L., Tan, Z., & Babaagba, K. O. (2024). A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices. In A. Ismail Awad, A. Ahmad, K. Raymond Choo, & S. Hakak (Eds.), Internet of Things Security and Privacy: Practical and Management Perspectives (24-53). Boca Raton: CRC Press. https://doi.org/10.1201/9781003199410-2

There has been an upsurge in malicious attacks in recent years, impacting computer systems and networks. More and more novel malware families aimed at information assets were launched daily over the past year. A particularly threatening malicious gro... Read More about A Generative Neural Network for Improving Metamorphic Malware Detection in IoT Mobile Devices.

A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling (2022)
Conference Proceeding
Turnbull, L., Tan, Z., & Babaagba, K. (2022). A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling. In 2022 IEEE Conference on Dependable and Secure Computing (DSC). https://doi.org/10.1109/DSC54232.2022.9888906

Malicious software trends show a persistent yearly increase in volume and cost impact. More than 350,000 new malicious or unwanted programs that target various technologies were registered daily over the past year. Metamorphic malware is a specifical... Read More about A Generative Neural Network for Enhancing Android Metamorphic Malware Detection based on Behaviour Profiling.