Author:
Santos Igor,Devesa Jaime,Brezo Félix,Nieves Javier,Bringas Pablo Garcia
Publisher
Springer Berlin Heidelberg
Reference33 articles.
1. Schultz, M., Eskin, E., Zadok, F., Stolfo, S.: Data mining methods for detection of new malicious executables. In: Proceedings of the 22nd IEEE Symposium on Security and Privacy, pp. 38–49 (2001)
2. Kolter, J., Maloof, M.: Learning to detect malicious executables in the wild. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 470–478. ACM, New York (2004)
3. Moskovitch, R., Stopel, D., Feher, C., Nissim, N., Elovici, Y.: Unknown malcode detection via text categorization and the imbalance problem. In: Proceedings of the 6th IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 156–161 (2008)
4. Santos, I., Penya, Y., Devesa, J., Bringas, P.: N-Grams-based file signatures for malware detection. In: Proceedings of the 11th International Conference on Enterprise Information Systems (ICEIS). AIDSS, pp. 317–320 (2009)
5. Christodorescu, M.: Behavior-based malware detection. PhD thesis (2007)
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