Part 5: ADVANCED FORENSIC TECHNIQUESInternational audienceResearch on using Bayesian networks to enhance digital forensic investigations has yet to evaluate the quality of the output of a Bayesian network. The evaluation can be performed by assessing the sensitivity of the posterior output of a forensic hypothesis to the input likelihood values of the digital evidence. This paper applies Bayesian sensitivity analysis techniques to a Bayesian network model for the well-known Yahoo! case. The analysis demonstrates that the conclusions drawn from Bayesian network models are statistically reliable and stable for small changes in evidence likelihood values
Computer (digital) forensic examiners typically write a report to document the examination process, ...
Continuing developments in science and technology mean that the amounts of information forensic scie...
This paper is one in a series of analyses of the Dutch Simonshaven murder case, each using a differe...
Abstract Research on using Bayesian networks to enhance digital forensic inves-tigations has yet to ...
A multi-parameter sensitivity analysis of a Bayesian network (BN) used in the digital forensic inves...
Bayesian network representing an actual prosecuted case of illegal file sharing over a peer-to-peer ...
Almost 30 years ago, Bayesian networks (BNs) were developed in the field of artificial intelligence ...
This series entitled: Advances in Digital Forensics IVThere is an escalating perception in some quar...
Solving forensic identification problems frequently requires complex probabilistic argument and comp...
Bayesian networks are being increasingly used to address complex questions of forensic interest. Lik...
As a thorough aggregation of probability and graph theory, Bayesian networks currently enjoy widespr...
As a thorough aggregation of probability and graph theory, Bayesian networks currently enjoy widespr...
Forensic scientists deal with the evaluation of a link between recovered ma- terial of unknown sourc...
Background The 'database search problem', that is, the strengthening of a case - in terms of probati...
Continuing developments in science and technology mean that the amounts of information forensic scie...
Computer (digital) forensic examiners typically write a report to document the examination process, ...
Continuing developments in science and technology mean that the amounts of information forensic scie...
This paper is one in a series of analyses of the Dutch Simonshaven murder case, each using a differe...
Abstract Research on using Bayesian networks to enhance digital forensic inves-tigations has yet to ...
A multi-parameter sensitivity analysis of a Bayesian network (BN) used in the digital forensic inves...
Bayesian network representing an actual prosecuted case of illegal file sharing over a peer-to-peer ...
Almost 30 years ago, Bayesian networks (BNs) were developed in the field of artificial intelligence ...
This series entitled: Advances in Digital Forensics IVThere is an escalating perception in some quar...
Solving forensic identification problems frequently requires complex probabilistic argument and comp...
Bayesian networks are being increasingly used to address complex questions of forensic interest. Lik...
As a thorough aggregation of probability and graph theory, Bayesian networks currently enjoy widespr...
As a thorough aggregation of probability and graph theory, Bayesian networks currently enjoy widespr...
Forensic scientists deal with the evaluation of a link between recovered ma- terial of unknown sourc...
Background The 'database search problem', that is, the strengthening of a case - in terms of probati...
Continuing developments in science and technology mean that the amounts of information forensic scie...
Computer (digital) forensic examiners typically write a report to document the examination process, ...
Continuing developments in science and technology mean that the amounts of information forensic scie...
This paper is one in a series of analyses of the Dutch Simonshaven murder case, each using a differe...