Faculty
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Salvatore J. Stolfo is Professor of Computer Science at Columbia University. He received his Ph.D. from NYU
Courant Institute in 1979 and has been on the faculty of Columbia ever since. He has published extensively
in the areas of parallel computing, AI Knowledge-based systems, Data Mining and most recently Computer Security
and Intrusion Detection Systems. His research has been supported by DARPA, NSF, ONR, and numerous companies and
state and federal agencies.
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PhD Students
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Malek Ben Salem is a second-year PhD student in the Computer Science Department
of Columbia University. Malek's research interests lie in Machine Learning and
Data Mining techniques applied to computer security, and in particular to intrusion detection.
Malek is currently working on host-based approaches to the detection of insider attacks.
Malek has earned a MS from Columbia University in Computer Science.
She also holds a MS and a BS in Electrical Engineering from the University
of Hannover, Germany. |
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Gabriela Cretu
is a fourth year PhD
student in Computer Science Department of Columbia University. She is
currently working on methods for improving the quality of training datasets
and models for AD systems. She got her MS from Columbia University in
Computer Science and BS from Polytechnical University of Bucharest in
Computer Engineering. |
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Yingbo Song is a second year PhD student. His research is in machine
learning, network security and their intersection in intrusion detection
systems. His current research focus is on web-layer code-injection detection using off-host sensors, machine learning models for anomaly detection in network flows and shellcode polymorphism.
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Ang Cui is a 2nd year PhD Student.
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Nathaniel Boggs is a 1st year PhD Student. Nathaniel is currently researching anomaly detection systems.
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MS Students
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Pratap Prabhu is a 1st year Masters Student. His primary research interests lie in advanced polymorphic shellcode and other spaghetti code.
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Shreyas Srivatsan is a 2nd year Masters Student.
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Sankha Subhra Dey is a 2nd year Masters Student. He previously worked on the RUU project. His research focus was on the creation and detection of decoy patterns that can be blended into a document's plaintext without changing a document's datetimestamp. He also investigated blending these patterns into the binary background of PDF and Word files. He is currently interning as a security consultant at Cigital Inc.
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Alumni
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Vanessa Frias-Martinez has recently successfully defended her thesis. Her main interest is applied learning algorithms for real-time environments. She is currently working in the use of anomaly detection systems for behavior-based access control
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