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Mark Guido M.S. Marc Brooks M.S. M.B.A. Justin Grover M.S. Eric Katz M.S. Jared Ondricek M.S. Marcus Rogers Ph.D. Lauren Sharpe M.S. 《Journal of forensic sciences》2016,61(6):1467-1472
The Periodic Mobile Forensics (PMF) system investigates user behavior on mobile devices. It applies forensic techniques to an enterprise mobile infrastructure, utilizing an on‐device agent named TractorBeam. The agent collects changed storage locations for later acquisition, reconstruction, and analysis. TractorBeam provides its data to an enterprise infrastructure that consists of a cloud‐based queuing service, relational database, and analytical framework for running forensic processes. During a 3‐month experiment with Purdue University, TractorBeam was utilized in a simulated operational setting across 34 users to evaluate techniques to identify masquerading users (i.e., users other than the intended device user). The research team surmises that all masqueraders are undesirable to an enterprise, even when a masquerader lacks malicious intent. The PMF system reconstructed 821 forensic images, extracted one million audit events, and accurately detected masqueraders. Evaluation revealed that developed methods reduced storage requirements 50‐fold. This paper describes the PMF architecture, performance of TractorBeam throughout the protocol, and results of the masquerading user analysis. 相似文献
188.
Daniel Gaudio B.Sc. Ph.D. Lara Olivieri B.A. Danilo De Angelis M.D. Ph.D. Pasquale Poppa B.Sc. Ph.D. Andrea Galassi M.D. Cristina Cattaneo B.Sc. M.A. M.D. Ph.D. 《Journal of forensic sciences》2016,61(1):5-11
Craniofacial superimposition is a technique potentially useful for the identification of unidentified human remains if a photo of the missing person is available. We have tested the reliability of the 2D‐3D computer‐aided nonautomatic superimposition techniques. Three‐dimension laser scans of five skulls and ten photographs were overlaid with an imaging software. The resulting superimpositions were evaluated using three methods: craniofacial landmarks, morphological features, and a combination of the two. A 3D model of each skull without its mandible was tested for superimposition; we also evaluated whether separating skulls by sex would increase correct identifications. Results show that the landmark method employing the entire skull is the more reliable one (5/5 correct identifications, 40% false positives [FP]), regardless of sex. However, the persistence of a high percentage of FP in all the methods evaluated indicates that these methods are unreliable for positive identification although the landmark‐only method could be useful for exclusion. 相似文献
189.
Objectives
To assess the role of selection in the observed association between residential mobility and delinquency among adolescents.Methods
This study draws on a sample of adolescents from the National Longitudinal Study of Adolescent Health (Add Health). We first examine whether adjusting regression models for several well-established determinants of moving attenuates the association between mobility and delinquency. We then employ propensity score methods to estimate the effect of residential mobility on delinquency among a sub-sample of movers and non-movers who had similar likelihoods of moving.Results
The association between mobility and delinquency is significant and positive in regression models, although it is somewhat attenuated by additional control variables that are rarely considered in prior work. However, the distribution of mobility determinants differs substantially across movers and non-movers, potentially biasing these estimates. After covariate balance is achieved using a propensity score approach, we observe no differences in delinquency between groups.Conclusions
Results suggest that certain adolescents are more likely to move than others, explaining the observed association between mobility and delinquency. Future research should therefore be mindful of selection when trying to account for differential outcomes between mobile and non-mobile adolescents. 相似文献190.
Caroline M. Angel Lawrence W. Sherman Heather Strang Barak Ariel Sarah Bennett Nova Inkpen Anne Keane Therese S. Richmond 《Journal of Experimental Criminology》2014,10(3):291-307