| Title | Behavioral malware analysis algorithm comparison |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Uchnár, Matúš, Feciľak, Peter |
| Conference Name | 2019 IEEE 17th World Symposium on Applied Machine Intelligence and Informatics (SAMI) |
| Date Published | jan |
| Keywords | Algorithms, behavioral analysis, behavioral malware analysis, computer security, computer viruses, Human Behavior, learning (artificial intelligence), machine learning, machine learning algorithms, Malware, malware analysis, malware detection, Metrics, Prediction algorithms, Predictive Metrics, privacy, pubcrawl, Resiliency, Sensitivity, Testing, Tools |
| Abstract | Malware analysis and detection based on it is very important factor in the computer security. Despite of the enormous effort of companies making anti-malware solutions, it is usually not possible to respond to new malware in time and some computers will get infected. This shortcoming could be partially mitigated through using behavioral malware analysis. This work is aimed towards machine learning algorithms comparison for the behavioral malware analysis purposes. |
| DOI | 10.1109/SAMI.2019.8782717 |
| Citation Key | uchnar_behavioral_2019 |
Behavioral malware analysis algorithm comparison