Scalable and fast algorithm for constructing phylogenetic trees with application to IoT malware clustering

T He, C Han, R Isawa, T Takahashi, S Kijima… - IEEE …, 2023 - ieeexplore.ieee.org
With the development of IoT devices, there is a rapid increase in new types of IoT malware
and variants, causing social problems. The malware's phylogenetic tree has been used in …

Towards Functional Analysis of IoT Malware Using Function Call Sequence Graphs and Clustering

K Oshio, S Takada, T He, C Han… - 2023 IEEE 47th …, 2023 - ieeexplore.ieee.org
The number of IoT malware variants infecting vulnerable IoT devices is growing. Many of
these are created by modifying parts of publicly available source codes and adding …

Poster: Flexible Function Estimation of IoT Malware Using Graph Embedding Technique

K Oshio, S Takada, C Han, A Tanaka… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Most IoT malware is variants generated by editing and reusing parts of the functions based
on publicly available source codes. In our previous study, we proposed a method to estimate …

[PDF][PDF] Scalable and Fast Method for IoT Malware Clustering

何天祥 - 2023 - catalog.lib.kyushu-u.ac.jp
IoT malware has been a rapid proliferation in recent years, and a large amount of malware is
newly spread every day. Honeypots and anti-malware platforms (such as VirusTotal 1) …