Repository
Welcome to the repository of the APHMM project of IASBS Malware Lab (MaLab). This archive contains full-text publications and source codes of the research project funded by Rayan Parto Caspian.
Publications
To requesting full-text publications, please see the following links:| Title | Link | Description |
| An Advanced Profile Hidden Markov Model for Malware Detection | Paper | Our paper titled “An Advanced Profile Hidden Markov Model for Malware Detection" is accepted to be published at Intelligent Data Analysis. |
| Static Malware Detection Using a Behavior-based Approach | Thesis | Alipour (2017)'s Master dissertation in Persian. |
Source Codes
To requesting the Source Codes, please visit the following links:| Title | Link | Description |
| APHMM codes | Sources | All source codes of the APHMM project, consisting of the PHMM class, Viterbi score function, POA* function, etc. implemented in Python. |
*POA has been developed by PacBio in PBDagCon. The python version of POA is poapy that you can download it here. Also, the C++ version of POA is poaV2 and you can download it here.
External Resources
Visit this page for additional relations extracted by the people at the artificial intelligence laboratory in department of computer science at IASBS within the static malware detection project.
Corresponding author email: ansari AT iasbs DOT ac DOT ir