936 resultados para Forensic analysis


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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Cotton is the most abundant natural fiber in the world. Many countries are involved in the growing, importation, exportation and production of this commodity. Paper documentation claiming geographic origin is the current method employed at U.S. ports for identifying cotton sources and enforcing tariffs. Because customs documentation can be easily falsified, it is necessary to develop a robust method for authenticating or refuting the source of the cotton commodities. This work presents, for the first time, a comprehensive approach to the chemical characterization of unprocessed cotton in order to provide an independent tool to establish geographic origin. Elemental and stable isotope ratio analysis of unprocessed cotton provides a means to increase the ability to distinguish cotton in addition to any physical and morphological examinations that could be, and are currently performed. Elemental analysis has been conducted using LA-ICP-MS, LA-ICP-OES and LIBS in order to offer a direct comparison of the analytical performance of each technique and determine the utility of each technique for this purpose. Multivariate predictive modeling approaches are used to determine the potential of elemental and stable isotopic information to aide in the geographic provenancing of unprocessed cotton of both domestic and foreign origin. These approaches assess the stability of the profiles to temporal and spatial variation to determine the feasibility of this application. This dissertation also evaluates plasma conditions and ablation processes so as to improve the quality of analytical measurements made using atomic emission spectroscopy techniques. These interactions, in LIBS particularly, are assessed to determine any potential simplification of the instrumental design and method development phases. This is accomplished through the analysis of several matrices representing different physical substrates to determine the potential of adopting universal LIBS parameters for 532 nm and 1064 nm LIBS for some important operating parameters. A novel approach to evaluate both ablation processes and plasma conditions using a single measurement was developed and utilized to determine the “useful ablation efficiency” for different materials. The work presented here demonstrates the potential for an a priori prediction of some probable laser parameters important in analytical LIBS measurement.

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The analysis and value of digital evidence in an investigation has been the domain of discourse in the digital forensic community for several years. While many works have considered different approaches to model digital evidence, a comprehensive understanding of the process of merging different evidence items recovered during a forensic analysis is still a distant dream. With the advent of modern technologies, pro-active measures are integral to keeping abreast of all forms of cyber crimes and attacks. This paper motivates the need to formalize the process of analyzing digital evidence from multiple sources simultaneously. In this paper, we present the forensic integration architecture (FIA) which provides a framework for abstracting the evidence source and storage format information from digital evidence and explores the concept of integrating evidence information from multiple sources. The FIA architecture identifies evidence information from multiple sources that enables an investigator to build theories to reconstruct the past. FIA is hierarchically composed of multiple layers and adopts a technology independent approach. FIA is also open and extensible making it simple to adapt to technological changes. We present a case study using a hypothetical car theft case to demonstrate the concepts and illustrate the value it brings into the field.

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This paper discusses the use of models in automatic computer forensic analysis, and proposes and elaborates on a novel model for use in computer profiling, the computer profiling object model. The computer profiling object model is an information model which models a computer as objects with various attributes and inter-relationships. These together provide the information necessary for a human investigator or an automated reasoning engine to make judgements as to the probable usage and evidentiary value of a computer system. The computer profiling object model can be implemented so as to support automated analysis to provide an investigator with the information needed to decide whether manual analysis is required.

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Analysis of either footprints or footwear impressions which have been recovered from a crime scene is a well known and well accepted part of forensic investigation. When this evidence is obtained by investigating officers, comparative analysis to a suspect’s evidence may be undertaken. This can be done either by the detectives or in some cases, podiatrists with experience in forensic analysis. Frequently asked questions of a podiatrist include; “What additional information should be collected from a suspect (for the purposes of comparison), and how should it be collected?” This paper explores the answers to these and related questions based on 20 years of practical experience in the field of crime scene analysis as it relates to podiatry and forensics. Elements of normal and abnormal foot function are explored and used to explain the high degree of variability in wear patterns produced by the interaction of the foot and footwear. Based on this understanding the potential for identifying unique features of the user and correlating this to footwear evidence becomes apparent. Standard protocols adopted by podiatrists allow for more precise, reliable, and valid results to be obtained from their analysis. Complex data sets are now being obtained by investigating officers and, in collaboration with the podiatrist; higher quality conclusions are being achieved. This presentation details the results of investigations which have used standard protocols to collect and analyse footwear and suspects of recent major crimes.

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Raman spectroscopy, when used in spatially offset mode, has become a potential tool for the identification of explosives and other hazardous substances concealed in opaque containers. The molecular fingerprinting capability of Raman spectroscopy makes it an attractive tool for the unambiguous identification of hazardous substances in the field. Additionally, minimal sample preparation is required compared with other techniques. We report a field portable time resolved Raman sensor for the detection of concealed chemical hazards in opaque containers. The new sensor uses a pulsed nanosecond laser source in conjunction with an intensified CCD detector. The new sensor employs a combination of time and space resolved Raman spectroscopy to enhance the detection capability. The new sensor can identify concealed hazards by a single measurement without any chemometric data treatments.

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Spatially offset Raman spectroscopy (SORS) is demonstrated for the non-contact detection of energetic materials concealed within non-transparent, diffusely scattering containers. A modified design of an inverse SORS probe has been developed and tested. The SORS probe has been successfully used for the detection of various energetic substances inside different types of plastic containers. The tests have been successfully conducted under incandescent and fluorescent background lights as well as under daylight conditions, using a non-contact working distance of 6 cm. The interrogation times for the detection of the substances were less than 1 minute in each case, highlighting the suitability of the device for near real-time detection of concealed hazards in the field. The device has potential applications in forensic analysis and homeland security investigations.

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Digital forensics concerns the analysis of electronic artifacts to reconstruct events such as cyber crimes. This research produced a framework to support forensic analyses by identifying associations in digital evidence using metadata. It showed that metadata based associations can help uncover the inherent relationships between heterogeneous digital artifacts thereby aiding reconstruction of past events by identifying artifact dependencies and time sequencing. It also showed that metadata association based analysis is amenable to automation by virtue of the ubiquitous nature of metadata across forensic disk images, files, system and application logs and network packet captures. The results prove that metadata based associations can be used to extract meaningful relationships between digital artifacts, thus potentially benefiting real-life forensics investigations.

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Network data packet capture and replay capabilities are basic requirements for forensic analysis of faults and security-related anomalies, as well as for testing and development. Cyber-physical networks, in which data packets are used to monitor and control physical devices, must operate within strict timing constraints, in order to match the hardware devices' characteristics. Standard network monitoring tools are unsuitable for such systems because they cannot guarantee to capture all data packets, may introduce their own traffic into the network, and cannot reliably reproduce the original timing of data packets. Here we present a high-speed network forensics tool specifically designed for capturing and replaying data traffic in Supervisory Control and Data Acquisition systems. Unlike general-purpose "packet capture" tools it does not affect the observed network's data traffic and guarantees that the original packet ordering is preserved. Most importantly, it allows replay of network traffic precisely matching its original timing. The tool was implemented by developing novel user interface and back-end software for a special-purpose network interface card. Experimental results show a clear improvement in data capture and replay capabilities over standard network monitoring methods and general-purpose forensics solutions.

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Tutkimuksen tarkoituksena oli selvittää desorptio/fotoionisaatio ilmanpaineessa tekniikan (engl. desorption atmospheric pressure photoionization, DAPPI) soveltuvuutta rikosteknisen laboratorion näytteiden analysointiin. DAPPI on nopea massaspektrometrinen ionisaatiotekniikka, jolla voidaan tutkia yhdisteitä suoraan erilaisilta pinnoilta. DAPPI:ssa käytetään lämmitettyä mikrosirua, joka suihkuttaa höyrystynyttä liuotin- ja kaasuvirtausta kohti näytettä. Näytteen pinnan komponentit desorboituvat lämmön vaikutuksesta, jonka jälkeen ionisoituminen tapahtuu VUV-lampun emittoimien fotonien avulla.DAPPI:lla tutkittiin takavarikoituja huumausaineita, anabolisia steroideja ja räjähdysaineita sekä niiden jäämiä erilaisilta pinnoilta. Lisäksi kartoitettiin DAPPI:n mahdollisuuksia ja rajoituksia erilaisille näytematriiseille ilman näytteiden esikäsittelyä. Takavarikoitujen huumausaineiden tutkimuksessa analysoitiin erilaisia tabletteja, jauheita, kasvirouheita, huumekasveja (khat, oopium, kannabis) ja sieniä. Anabolisia steroideja tunnistettiin tableteista sekä ampulleista, jotka sisälsivät öljymäistä nestettä. Jauheet ripoteltiin kaksipuoliselle teipille ja analysoitiin siltä. Muut näytteet analysoitiin sellaisenaan ilman minkäänlaista esikäsittelyä, paitsi nestemäisten näytteiden kohdalla näyte pipetoitiin talouspaperille, joka analysoitiin DAPPI:lla. DAPPI osoittautui nopeaksi ja yksinkertaiseksi menetelmäksi takavarikoitujen huumausaineiden ja steroidien analysoimisessa. Se soveltui hyvin rikoslaboratorion erityyppisten näytteiden rutiiniseulontaan ja helpotti erityisesti huumekasvien ja öljymäisten steroidiliuosten tutkimusta. Massaspektrometrin likaantuminen pystyttiin ehkäisemään säätämällä näytteen etäisyyttä sen suuaukosta. Likaantumista ei havaittu huolimatta näytteiden korkeista konsentraatioista ja useita kuukausia jatkuneista mittauksista. Räjähdysaineiden tutkimuksessa keskityttiin seitsemän eri räjähdysaineen DAPPI-MS-menetelmän kehitykseen; trinitrotolueeni (TNT), nitroglykoli (NK), nitroglyseriini (NG), pentriitti (PETN), heksogeeni (RDX), oktogeeni (HMX) ja pikriinihappoä Nämä orgaaniset räjähteet ovat nitraattiyhdisteitä, jotka voidaan jakaa rakenteen puolesta nitroamiineihin (RDX ja HMX), nitroaromaatteihin (TNT ja pikriinihappo) sekä nitraattiestereihin (PETN, NG ja NK). Menetelmäkehityksessä räjähdysainelaimennokset pipetoitiin polymetyylimetakrylaatin (PMMA) päälle ja analysoitiin siitä. DAPPI:lla tutkittiin myäs autenttisia räjähdysainejäämiä erilaisista matriiseista. DAPPI:lla optimoitiin jokaiselle räjähdysaineelle sopiva menetelmä ja yhdisteet saatiin näkymään puhdasaineina. Räjähdysainejäämien analysoiminen erilaisista rikospaikkamateriaaleista osoittautui haastavammaksi tehtäväksi, koska matriisit aiheuttivat itsessään korkean taustan spektriin, josta räjähdysaineiden piikit eivät useimmiten erottuneet tarpeeksi. Muut desorptioionisaatiotekniikat saattavat soveltua paremmin haastavien räjähdysainejäämien havaitsemiseksi.

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Novas metodologias de análise molecular voltadas para estudos populacionais, clínicos, evolutivos, da biodiversidade e identificação forense foram desenvolvidas com base em marcadores microssátelites ou STR Short Tandem Repeats. Os marcadores STR, que estão amplamente espalhados nos genomas e se caracterizam por apresentar alto grau de polimorfismo, podem ser analisados a partir da amplificação por PCR (Reação em Cadeia da polimerase). A análise foi facilitada a partir do desenvolvimento de sistemas de amplificação simultânea de múltiplos STR (multiplex STR) e com a detecção automatizada dos produtos de amplificação marcados por fluorescência. Recentemente, o uso de marcadores STR do cromossomo X (X-STR) tornou-se significativo na prática forense. Devido ao seu modo de transmissão, os X-STR são úteis em situações particulares de investigação de relações de parentesco, apresentando vantagens sobre o uso de STR autossômicos. Este estudo teve como principal objetivo o desenvolvimento e validação de sistema multiplex, denominado LDD (X-STR) Decaplex, capaz de amplificar dez loci X-STR (DXS7133, DXS7424, DXS8378, DXS6807, DXS7132, DXS10074, DXS7423, DXS8377, GATA172D05 e DXS10101) para aplicação em genética populacional, identificação e análises forenses. Utilizando o LDD (X-STR) Decaplex 170 indivíduos autodenominados afrodescendentes, não aparentados geneticamente, foram genotipados. As freqüências alélicas e genotípicas não apresentaram desvio do equilíbrio de Hardy-Weinberg e estão em concordância com aquelas observadas em outros estudos. Os haplótipos observados foram únicos em indivíduos de amostra masculina. A análise de desequilíbrio de ligação não revelou associação entre os marcadores X-STR. A diversidade genética foi elevada, variando entre 0,6218 para o locus DXS7133 a 0,9327 para o locus DXS8377. Os parâmetros de Probabilidade de Vinculação (PV), Índice de Vinculação (IV), Poder de Exclusão (PE), Poder de Discriminação e Razão de Verossimilhança foram também elevados, demonstraram que os dez X-STRs são altamente polimórficos e discriminativos na população estudada. A concentração mínima de DNA para a amplificação dos loci do LDD (X-STR) Decaplex é de 0,5 ng e verificamos que amplificação por PCR pode ser afetada quando são adicionados mais de 5 ng de DNA nas reações. Os percentuais de bandas stutter foram elevados para os loci DXS7132 e DXS8377. No teste de reprodutibilidade observamos consistência entre as tipagem de diferentes amostras biológicas, incluindo as de restos mortais. No teste de mistura a proporção limite em que observamos a coexistência de duas espécies biológicas foi de 2,5:1ng (feminino-masculino). Os resultados evidenciaram que os loci do LDD (X-STR) Decaplex são altamente informativos, consistindo, em conjunto, uma ferramenta importante em estudos de identificação humana e de relações de parentesco.

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Marcadores genéticos presentes no cromossomo Y, como os microssatélites (Y-STRs) e polimorfismos de único nucleotídeo (Y-SNPs) são utilizados na caracterização de linhagens masculinas, visto que são transmitidos às gerações seguintes sem alterações, a menos que ocorram mutações (Singh et al., 2011; Mitchell & Hammer, 1996; Butler, 2009). Por isso, esses marcadores são amplamente empregados em diversas situações, destacando-se o uso constante dos Y-STRs na genética forense por apresentarem alta capacidade de discriminar linhagens. Recentemente, foram descritos 13 marcadores com taxas de mutação substancialmente superiores àquelas verificadas para loci STR do cromossomo Y, denominados Rapidly Mutating (RM) Y-STRs (Ballantyne et al., 2010; Kayser et al., 2012). Devido às taxas de mutação elevadas, os RM-YSTRs apresentam maior eficiência na discriminação entre indivíduos proximamente relacionados, pertencentes à mesma linhagem patrilínea. O presente trabalho buscou aprofundar o conhecimento acerca das características populacionais e mutacionais dos loci RM-YSTRs em amostra do Rio de Janeiro, contribuindo com estudos desta natureza na população brasileira. Realizou-se a análise de 13 loci do cromossomo Y em 258 indivíduos do sexo masculino, compondo 129 pares de pais e filhos, nascidos no estado do Rio de Janeiro. O DNA das amostras foi extraído, conforme os protocolos vigentes na rotina do LDD-UERJ. As sequências genéticas de interesse foram amplificadas pela técnica de reação em cadeira da polimerase (PCR) através da realização de três PCR multiplex, cujos produtos de amplificação foram separados por eletroforese em sequenciador automático ABI-3500 (Applied Biosystems). Para os pares pai/filho que apresentaram haplótipos mutados, empregou-se a técnica de sequenciamento para confirmação das mutações. Os loci RM-YSTR geraram um poder de discriminação de 1,0 na amostra analisada, o que significa que todos os 129 indivíduos da amostra populacional apresentaram haplótipos diferentes para tais marcadores, com frequências de 0,0077 e diversidade haplotípica igual a 1. Além disso, foram obtidos valores elevados de diversidade gênica para os 13 marcadores. A análise de distância genética e os resultados de AMOVA baseados nos valores de Fst demonstraram que os RM-YSTR não indicam subdivisão populacional e traços ancestrais comuns. Tais valores estão associados às elevadas taxas de mutação encontradas, cuja média foi de 2,11 x 10-2. Foi possível observar que os loci RM-YSTR são muito discriminativos na amostra miscigenada analisada, além de terem maior capacidade de diferenciar indivíduos do que outros conjuntos de marcadores normalmente usados em estudos populacionais e análises forenses. Sendo assim, é possível concluir que os marcadores RM-YSTR são promissores para discriminar indivíduos da mesma linhagem patrilínea, visto que devido às suas elevadas taxas mutacionais e poder de discriminação, são capazes de diferenciar indivíduos de maneira mais eficiente do que os outros conjuntos de STR. Porém, é necessário maior número de estudos para melhor caracterização destes loci em diferentes populações.

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Christian Cardell Corbet, a descendant of Guernsey, Channel Islands, was born in 1966 at Pickering Beach on Lake Ontario. He developed his talents as a landscape artist and at the young age of 14 he began his informal education in commercial signage from his paternal grandfather. He studied at the University of Guelph and McMaster University Anatomy Laboratory. Corbet traveled to England where he began to experiment more in abstraction and non-objective work. In 1995, he presented a portrait of HM Queen Elizabeth the Queen Mother at Clarence House. This brought his career to an international level. He also creates two-dimensional works and has received acclaim for his bronze art medallions. He has gained international recognition as a Forensic Artist working as Artist in Residence for the University of Western Ontario. He does facial reconstructions for special assignments. These original drawings relate to a sculpted medallion of Brock which was authorized by Sir Geoffrey Rowland, Bailiff, Guernsey, Channel Islands and Minister of Education of the States of Guernsey. This is the first time in known recorded history that a forensic analysis and sculpture has been created to accurately depict the facial likeness of Sir Isaac Brock. This project has been established to mark the 2012 anniversary of the death of Brock.

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La popularité des technologies de l’information et des communications entraîne l’augmentation de la preuve retrouvée sous forme numérique lors d’enquêtes policières. Les organisations policières doivent innover afin d’analyser, gérer et tirer profit de cette preuve numérique. En réponse, elles ont constitué des unités spécialisées en criminalité technologique et en analyse judiciaire informatique. La présente étude utilise les théories de l’innovation afin de déterminer comment l’évolution des technologies et des tendances en matière de criminalité technologique influencent les enquêtes et les organisations policières. Cette recherche vise à augmenter les connaissances sur ces unités spécialisées en quantifiant et en qualifiant leur travail quotidien. Avec la collaboration d’une unité policière canadienne spécialisée en analyse judiciaire informatique, une analyse détaillée des demandes d’expertise adressées à leur service a été effectuée. Les résultats indiquent une augmentation de la preuve numérique avec la prévalence de certaines formes de criminalité et de certains appareils électroniques. Les facteurs influençant le délai de traitement sont soulignés ainsi que les stratégies mises de l’avant afin de gérer efficacement l’accroissement des demandes de service. Finalement, des entrevues ont été menées avec certains membres de l’équipe afin de mettre en lumière les défis et les enjeux relatifs à l’implantation et au fonctionnement d’une telle unité. Les principaux enjeux soulevés concernent les environnements technologiques et juridiques, la formation du personnel, la gestion des ressources et les priorités organisationnelles.

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This paper investigates the potential of near infrared spectroscopy (NIR) for forensic analysis of human hair samples in order to differentiate smokers from nonsmokers, using chemometric modeling as an analytical tool. We obtained a total of 19 hair samples, 9 smokers and 10 nonsmokers varying gender, hair color, age and duration of smoking, all collected directly from the head of the same great Natal-RN. From the NIR spectra obtained without any pretreatment of the samples was performed an exploratory multivariate chemical data by applying spectral pretreatments followed by principal component analysis (PCA). After chemometric modeling of the data was achieved without any experimental data beyond the NIR spectra, differentiate smokers from nonsmokers, by demonstrating the significant influence of tabacco on the chemical composition of hair as well as the potential of the methodology in forensic identification