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	Stolfo, Salvatore J.     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 4 of 4 reviews       Anomaly detection as a service: challenges, advances, and opportunities Yao D., Shu X., Cheng L., Stolfo S., Morgan & Claypool Publishers, San Rafael, CA, 2017. 173 pp.  Type: Book (978-1-681731-09-4) Written by a team of well-known academic researchers and authors of landmark papers in the area of system and network security, this book is a distilled and concise overview of academic and industrial approaches for anomaly detection i...... Apr 25 2018     On the infeasibility of modeling polymorphic shellcode Song Y., Locasto M., Stavrou A., Keromytis A., Stolfo S. Machine Learning 81(2): 179-205, 2010.  Type: Article With smarter intrusion algorithms of the polymorphic kind, the protection provided by intrusion detection systems often proves to be ineffective. This paper addresses some malicious morphing strategies, the difficulties in confronting ...... Oct 11 2011     Algorithms for mining system audit data Lee W., Stolfo S., Mok K. In Data mining, rough sets and granular computing. Heidelberg, Germany: Physica-Verlag GmbH, 2002.  Type: Book Chapter Network security is extremely critical to our society. System design flaws and programming errors are inevitable, however, due to the very high complexity of network systems. The authors of this chapter propose a systematic framework t...... Jan 6 2004     Cost complexity-based pruning of ensemble classifiers Prodromidis A., Stolfo S. Knowledge and Information Systems 3(4): 449-469, 2001.  Type: Article Ensemble methods aim to obtain more accurate models than other classical machine learning methods through the combination of several (possibly heterogeneous) models. Although the improvement has been significant and is related to the ...... Sep 25 2002
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