Behavioral Analysis Principles
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-11626-1_3
Reference6 articles.
1. Afianian, A., Niksefat, S., Sadeghiyan, B., & Baptiste, D. (2020). Malware dynamic analysis evasion techniques: A survey. ACM Computing Surveys, 52(6), 1–28. https://doi.org/10.1145/3365001
2. Coulter, R., Han, Q.-L., Pan, L., Zhang, J., & Xiang, Y. (2020). Code analysis for intelligent cyber systems: A data-driven approach. Information Sciences, 524, 46–58. https://doi.org/10.1016/j.ins.2020.03.036
3. Shekhawat, A. S., Troia, F. D., & Stamp, M. (2019). Feature analysis of encrypted malicious traffic. Expert Systems with Applications, 125, 130–141. https://doi.org/10.1016/j.eswa.2019.01.064
4. Ul Haq, I., Chica, S., Caballero, J., & Jha, S. (2018). Malware lineage in the wild. Computers & Security, 78, 347–363. https://doi.org/10.1016/j.cose.2018.07.012
5. Wang, L., Wang, B., Zhang, J., Liu, J., & Miao, Q. (2019). Cuckoo-based malware dynamic analysis. International Journal of Performability Engineering, 15(3), 772–781. https://doi.org/10.23940/ijpe.19.03.p6.772781
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