2023 · 2023 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences
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system-tracing anomaly-detection machine-learning performance-analysis
malware detection system-call sequences sonification Hamming distance detection rate false-positive rate EMD-SCS
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Citation
@inproceedings{ezzatiJivan2023emdscs,
author = {Raghav Bhardwaj and Morteza Noferesti and Madeline Janecek and Naser Ezzati-Jivan},
title = {EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences},
year = {2023},
booktitle = {2023 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)},
pages = {1728-1737},
publisher = {IEEE},
doi = {10.1109/TRUSTCOM60117.2023.00235},
url = {https://doi.org/10.1109/TRUSTCOM60117.2023.00235}
}Other citation formats for Word and reference managers
Bhardwaj, R., Noferesti, M., Janecek, M., & Ezzati-Jivan, N. (2023). EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences. In 2023 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 1728-1737). https://doi.org/10.1109/TRUSTCOM60117.2023.00235R. Bhardwaj, M. Noferesti, M. Janecek, and N. Ezzati-Jivan, "EMD-SCS: A Dynamic Behavioral Approach for Early Malware Detection with Sonification of System Call Sequences," in 2023 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1728-1737, 2023, doi: 10.1109/TRUSTCOM60117.2023.00235