A Behavior-Based Approach to Securing Email Systems

By Salvatore J. Stolfo, Shlomo Hershkop, Ke Wang, Olivier Nimeskern, Chia-Wei Hu. 2003

74 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Battista Biggio
2. Fabio Roli
3. Blaine Nelson
4. Pavel Laskov
5. Giorgio Fumera
6. Giorgio Giacinto
7. Anthony D. Joseph
8. J. Doug Tygar

In Information Systems

1. Battista Biggio
2. Fabio Roli
3. Blaine Nelson
4. Pavel Laskov
5. Giorgio Fumera
6. Roman V Yampolskiy
7. Marco Barreno
8. Russell Sears

In Statistical and Nonlinear Physics

1. Blaine Nelson

Citations in the corpus

• Poisoning Attacks against Support Vector Machines (2012, background): “We experimentally demonstrate that our gradient ascent procedure reliably identifies good local maxima of the non-convex validation error surface, which significantly increases the classifier’s test error.”
• Can machine learning be secure? (2006, methodology): “Outlier detection is the task of identifying anomalous data and is a widely used paradigm in fault detection [40], intrusion detection [23], and virus detection [ 33 , 34].”
• Behavior of Machine Learning Algorithms in Adversarial Environments (2010, background): “…Meyer and Whateley, 2004, Segal et al., 2004] and also have been proposed as elements in virus and worm detectors [e.g., Newsome et al., 2005, Stolfo et al., 2003, 2004], host-based intrusion detection systems (HIDS) [e.g., Forrest et al., 1996, Hofmeyr et al., 1998, Mutz et al., 2006,…”
• Behavioural biometrics: a survey and classification (2008, methodology): “Some work in using e-mail behaviour modelling was done by Stolfo et al. (2003a; 2003b).”