Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Digital Evidence and Computer Crime: Forensic Science, Computers, and the Internet with Cdrom
Digital Evidence and Computer Crime: Forensic Science, Computers, and the Internet with Cdrom
Discover knowledge from distribution maps using Bayesian networks
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
From digital forensic report to Bayesian networkrepresentation
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
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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 degree of criminal activity as it evolves over time. The model is evaluated with 500 randomly produced digital forensic scenarios and two specific forensic cases. The experimental results indicate that the model fits well with expert classification of forensic data. Such initial results point out the potential of such Dynamical Bayesian Network methods for the analysis of digital forensic data.