| Title | Machine Learning Based Improved Malware Detection Schemes |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Priyadarshan, Pradosh, Sarangi, Prateek, Rath, Adyasha, Panda, Ganapati |
| Conference Name | 2021 11th International Conference on Cloud Computing, Data Science Engineering (Confluence) |
| Date Published | jan |
| Keywords | analysis of malware, Analytical models, computer system malware, Deep Learning, feature extraction, Human Behavior, machine learning based detection, Malware, malware analysis, malware detection, Metrics, privacy, pubcrawl, Radio frequency, resilience, Resiliency, Standards, Task Analysis |
| Abstract | In recent years, cyber security has become a challenging task to protect the networks and computing systems from various types of digital attacks. Therefore, to preserve these systems, various innovative methods have been reported and implemented in practice. However, still more research work needs to be carried out to have malware free computing system. In this paper, an attempt has been made to develop simple but reliable ML based malware detection systems which can be implemented in practice. Keeping this in view, the present paper has proposed and compared the performance of three ML based malware detection systems applicable for computer systems. The proposed methods include k-NN, RF and LR for detection purpose and the features extracted comprise of Byte and ASM. The performance obtained from the simulation study of the proposed schemes has been evaluated in terms of ROC, Log loss plot, accuracy, precision, recall, specificity, sensitivity and F1-score. The analysis of the various results clearly demonstrates that the RF based malware detection scheme outperforms the model based on k-NN and LR The efficiency of detection of proposed ML models is either same or comparable to deep learning-based methods. |
| DOI | 10.1109/Confluence51648.2021.9377123 |
| Citation Key | priyadarshan_machine_2021 |
Machine Learning Based Improved Malware Detection Schemes