@inproceedings{cb17756321fb4d3fb841e005e3a28805,
title = "Anomalous taint detection",
abstract = "We propose anomalous taint detection, an approach that combines fine-grained taint tracking with learning-based anomaly detection. Anomaly detection is used to identify behavioral deviations that manifest when vulnerabilities are exercised. Fine-grained taint-tracking is used to target the anomaly detector on those aspects of program behavior that can be controlled by an attacker. Our preliminary results indicate that the combination increases detection accuracy over either technique, and promises to offer better resistance to mimicry attacks.",
author = "Lorenzo Cavallaro and R. Sekar",
year = "2008",
doi = "10.1007/978-3-540-87403-4\_34",
language = "English",
isbn = "354087402X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "417--418",
booktitle = "Recent Advances in Intrusion Detection - 11th International Symposium, RAID 2008, Proceedings",
note = "Recent Advances in Intrusion Detection - 11th International Symposium, RAID 2008, Proceedings ; Conference date: 15-09-2008 Through 17-09-2008",
}