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ISI
2006
Springer
15 years 5 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
15 years 10 months ago
Malware detection using statistical analysis of byte-level file content
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 6 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
SAC
2010
ACM
16 years 24 days ago
Content cloaking: preserving privacy with Google Docs and other web applications
Web office suites such as Google Docs offer unparalleled collaboration experiences in terms of low software requirements, ease of use, data ubiquity, and availability. When the d...
Gabriele D'Angelo, Fabio Vitali, Stefano Zacchirol...
SAC
2009
ACM
16 years 22 days ago
Defending online reputation systems against collaborative unfair raters through signal modeling and trust
Online feedback-based rating systems are gaining popularity. Dealing with collaborative unfair ratings in such systems has been recognized as an important but difficult problem. T...
Yafei Yang, Yan Lindsay Sun, Steven Kay, Qing Yang