Forensic Science and Technology Commons^™

Validation Of Fast Spectrochemical Screening Methods For The Identification Of Counterfeit Pharmaceutical Packaging, Emily Ann Haase

Graduate Theses, Dissertations, and Problem Reports (ETD)

Counterfeit pharmaceuticals are an actively developing health and economic threat worldwide. Particularly prevalent are counterfeit pharmaceuticals distributed in emerging nations and through internet pharmacies or e-pharmacies. Although technology has been developed that discourages anti-counterfeiting practices (such as optically variable devices, invisible ink, and track-and-trace technology), it remains somewhat novel and expensive to implement on a widespread scale.

In this study, Laser Induced Breakdown Spectroscopy (LIBS) and Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) were proposed as fast and non-invasive tools for the identification of counterfeit pharmaceutical packages. The main objective of this research was to develop and evaluate the capabilities …

The Effects Of Household Substrates On The Evaporation Of Ignitable Liquids At Temperatures Up To 210℃, Caitlyn Wensel

Graduate Theses, Dissertations, and Problem Reports (ETD)

In fire debris analysis, ignitable liquid residues are commonly identified using gas chromatography-mass spectrometry (GC-MS). The detection and identification of an ignitable liquid can help arson investigators determine whether a fire was intentional or accidental. To assist with the identification of ignitable liquid residues, chromatograms of questioned samples are typically compared to those of known ignitable liquids that have been weathered (evaporated) to different extents. Practitioners typically perform such weathering at room temperature and to a limited number of extents of weathering, so their database of weathered residues is likely to deviate markedly from casework residues. The ultimate goal of …

Evaluating The Use Of The M-Vac® Wet Vacuum System To Recover Dna From Cotton Fabric, Phillip Reilly Irion

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the current state of the field of forensic biology, collecting DNA from evidence samples may pose some difficulty. Traditional methods for collection of DNA from biological fluids and touch samples include cuttings, scrapings, and the double swab method. While all of these methods have benefits, they also have their drawbacks. In order to more efficiently collect DNA from an evidence sample, novel approaches need to be explored. This novel approach is the microbial vacuum (M-Vac®) Wet Vacuum System.

This system utilizes a sterile collection solution and a vacuum to collect DNA material from evidence samples. While it is similar …

Statistical Evaluation Of Randomly Acquired Characteristics On Outsoles With Implications Regarding Chance Co-Occurrence And Spatial Randomness, Nicole Richetelli

Graduate Theses, Dissertations, and Problem Reports (ETD)

Footwear evidence holds tremendous forensic value, owing to its ability to formulate linkages between victims, suspects and scenes. Naturally, the strength of these linkages is a function of the perceived clarity, quality and rarity of class, subclass and randomly acquired characteristics (RACs), which are the fundamental outsole features used to formulate source associations. In order to reach a conclusion when performing a footwear comparison, forensic examiners must assign value to the observed similarities and differences that exist between questioned crime scene and test impressions. Embedded within this process is an evaluation of the random association between unrelated shoes as a …

Validation Of The 4-Aminophenol Chemical Test And Analytical Testing Scheme To Distinguish Marijuana And Hemp, Kenna Lewis

Master of Science in Forensic Science Directed Research Projects

With the passing of the 2018 Farm Bill, which legalized hemp, law enforcement agencies and forensic laboratories needed a more efficient testing scheme to differentiate marijuana and hemp Cannabis plants. The validation of the 4-aminophenol chemical test and the subsequent analytical scheme allows for this differentiation to be performed. The evaluation of eighteen different cannabinoids, including acids, demonstrated that compounds with structures similar to tetrahydrocannabinol (THC) produced a blue result and compounds with structures similar to cannabidiol (CBD) produced a pink result. Several titration curves with varying concentrations of cannabinoids indicated a pink result when the THC concentration was less …

Quantifying The Need For Supervised Machine Learning In Conducting Live Forensic Analysis Of Emergent Configurations (Eco) In Iot Environments, Victor R. Kebande, Richard A. Ikuesan, Nickson M. Karie, Sadi Alawadi, Kim-Kwang Raymond Choo, Arafat Al-Dhaqm

Research outputs 2014 to 2021

© 2020 The Author(s) Machine learning has been shown as a promising approach to mine larger datasets, such as those that comprise data from a broad range of Internet of Things devices, across complex environment(s) to solve different problems. This paper surveys existing literature on the potential of using supervised classical machine learning techniques, such as K-Nearest Neigbour, Support Vector Machines, Naive Bayes and Random Forest algorithms, in performing live digital forensics for different IoT configurations. There are also a number of challenges associated with the use of machine learning techniques, as discussed in this paper.

Spatio-Temporal Analysis Of Crime Incidents For Forensic Investigation, Jamie Spencer Spaulding

Graduate Theses, Dissertations, and Problem Reports (ETD)

Crime analysis and mapping has been routinely employed to gather intelligence which informs security efforts and forensic investigations. Traditionally, geographic information systems in the form of third-party mapping applications are used for analysis of crime data but are often expensive and lack flexibility, transparency, or efficiency in uncovering associations and relationships in crime. Each crime incident and article of evidence within that incident has an associated spatial and temporal component which may yield significant and relevant information to the case. Wide variations exist in the techniques that departments use and commonly spatial and temporal components of crime are evaluated independently, …

Effect Of 17a - Ethynylestradiol On The Pupation Rate, Emergence Rate, And Sex Ratio Of Phormia Regina (Calliphoridae), Bethany K. Hoschar

Honors Theses

After death, blowflies are attracted to decomposing remains for feeding and reproduction purposes. Since blowflies are usually the first species to colonize a set of remains, they are important to forensic scientists when estimating the time since death. Using the knowledge of the life cycle of a blowfly and any interferences of the environment that can affect the development, forensic entomologists can estimate the time since the arrival of blowflies, otherwise considered time since deposition. This research investigated how a specific estrogen, 17 a-ethynylestradiol, present in pollutants affects the development time of blowflies, and therefore the time since death estimation. …

Fabricated Forensics: Examining An Undergraduate Population’S Ability To Detect Fallacies In Crime-Based Media, Conner Davis

Senior Capstone Theses

My research examines the effects of general education on students’ perspectives of the CSI effect. The CSI effect is a phenomenon in which people’s perceptions of criminal investigation are distorted from the truth because of the media’s portrayal of criminal investigation. The study sample includes undergraduate students enrolled in a Mid-Atlantic University. To quantify the degrees in which subjects are susceptible to the CSI effect, the subjects will be measured on their ability to identify basic forensic investigation flaws portrayed in three different television series. Subjects were given a worksheet, exposed to a fifteen-minute video compilation, and were told to …

Founding The Domain Of Ai Forensics, Ibrahim Baggili, Vahid Behzadan

Electrical & Computer Engineering and Computer Science Faculty Publications

With the widespread integration of AI in everyday and critical technologies, it seems inevitable to witness increasing instances of failure in AI systems. In such cases, there arises a need for technical investigations that produce legally acceptable and scientifically indisputable findings and conclusions on the causes of such failures. Inspired by the domain of cyber forensics, this paper introduces the need for the establishment of AI Forensics as a new discipline under AI safety. Furthermore, we propose a taxonomy of the subfields under this discipline, and present a discussion on the foundational challenges that lay ahead of this new research …

Evaluation Of Dna From Blood And Saliva Overtime, Janine Smalling

Honors Theses

In this research, we will examine the quantity of DNA over time. In John M. Butlers, "Fundamentals of Forensic DNA Typing", he charts out the average amount of DNA extracted from different bodily fluid samples. Examples include blood, semen, saliva, urine, etc. Though valuable, the values presented are in the cases of a fresh extraction of the sample. It is important to note that in most cases when DNA is being extracted from crime scene evidence, the samples are not fresh and have been degraded to some extent. On a crime scene, time is only one of the factors affecting …

Effects Of Mercury On The Dopamine Transporter Cell Surface Expression In Pc12 Cells, Christina Hui

Student Theses

Environmental factors, such as heavy metal exposures, have been suggested to have an impact not only on neurodegenerative disease, such as Parkinson’s disease, but also on psychostimulants abuse and their toxicity. In this study, two questions were addressed: 1) effects of mercuric chloride on parkinsonian toxicant 1-methyl-4-phenylpyridinium (MPP⁺) induced cytotoxicity and 2) effects of mercuric chloride on cell surface dopamine transporter. Pheochromocytorma cells (PC12) were treated with various concentrations of mercuric chloride (0.02~2.0 ppm) for 4 hours with and without 0.1 mM MPP⁺. Significant potentiation of toxicity was observed when there was co-treatment with 0.5 ppm …

Evaluation Of A Novel Dna Collection Matrix Designed To Improve Recovery Of Touch Dna From Non-Porous Surfaces, Eric Ramirez

Student Theses

The collection of touch DNA from evidence has been a challenge in the field of Forensic Biology for decades. There are numerous collection protocols, substrates, and solutions that have been used to varying levels of success. Currently, no single method or substrate stands out as the single most effective collection protocol. The Gene Link Omni Matrix™ K105 solution is a novel collection method that can be sprayed onto the surface of non-porous evidence. The matrix dries into a film, capturing cells and cell-free DNA which can be scraped off and collected into a tube. During extraction, the matrix dissolves into …

Dna Mixture Statistics Using A Likelihood Ratio Software Tool: Effect Of Variations In Drop-Out Rates And Number Of Contributors, Felicia M. Lucero

Student Theses

Complex DNA mixtures can be very probative evidence, but comparisons to a person of interest can be affected by allelic drop-out and uncertainty regarding the number of individuals having contributed DNA to a sample. Scientific organizations such as the International Society of Forensic Genetics (Gill et al., 2006) recommend that likelihood ratios should be used to provide a statistical weight when a positive association is made between the DNA profile of a person of interest and an evidentiary DNA sample. To this effect the New York City Office of Chief Medical Examiner (OCME) developed a software program, Forensic Statistical Tool …

Catching Killers With Consumer Genetic Information, Angela Hackstadt

University Libraries Faculty Scholarship

In April 2018, Joseph James D'Angelo was arrested as a suspect in the Golden State Killer case. DNA evidence collected at a 1980 crime scene finally shed light on the murderer's identity in early 2018 when investigators turned to GEDMatch, a service that allows users to upload and share DNA data obtained from consumer genetic tests. Consumer genetic testing, DNA collection, and familial DNA searching all raise ethical and privacy concerns. If investigators are using genetic genealogy to solve cold cases, where does that leave consumers?

Haplotype Analysis For Irish Ancestry, Heather Miller Coyle, Robert Whiting

Forensic Science Publications

Forensic haplotype analysis of the male Y chromosome is currently used to establish the number of male donors in sexual assaults, the number of male bleeders in blood pattern analysis, and for ancestry correlation to genetic founder populations in biogeographic studies. In forensic laboratory applications, its primary use is for DNA profile generation with trace amounts of male DNA in the presence of excess female DNA (e.g. spermatozoa identification, male component of fingernail scrapings). Our study supports the potential use of the Y chromosome in a “dragnet” approach (most haplotypes are unique) similar to that described by Kayser in 2017 …

The Future Of Cybercrime Prevention Strategies: Human Factors And A Holistic Approach To Cyber Intelligence, Sinchul Back, Jennifer Laprade

International Journal of Cybersecurity Intelligence & Cybercrime

New technology is rapidly emerging to fight increasing cybercrime threats, however, there is one important component of a cybercrime that technology cannot always impact and that is human behavior. Unfortunately, humans can be vulnerable and easily deceived making technological advances alone inadequate in the cybercrime fight. Instead, we must take a more holistic approach by using technology and better understanding the human factors that make cybercrime possible. In this issue of the International Journal of Cybersecurity Intelligence and Cybercrime, three studies contribute to our knowledge of human factors and emerging cybercrime technology so that more effective comprehensive cybercrime prevention strategies …

A Test Of Structural Model For Fear Of Crime In Social Networking Sites, Seong-Sik Lee, Kyung-Shick Choi, Sinyong Choi, Elizabeth Englander

International Journal of Cybersecurity Intelligence & Cybercrime

This study constructed a structural model which consists of social demographic factors, experience of victimization, opportunity factors, and social context factors to explain the public’s fear of crime on social networking sites (SNS). The model is based on the risk interpretation model, which predicts that these factors influence users’ fear of crime victimization. Using data from 486 university students in South Korea, an empirically-tested model suggests that sex and age have direct and significant effects on fear of victimization, supporting the vulnerability hypothesis. Among opportunity factors, the level of personal information and the number of offending peers have significant effects …

An Exploratory Perception Analysis Of Consensual And Nonconsensual Image Sharing, Jin Ree Lee, Steven Downing

International Journal of Cybersecurity Intelligence & Cybercrime

Limited research has considered individual perceptions of moral distinctions between consensual and nonconsensual intimate image sharing, as well as decision making parameters around why others might engage in such behavior. The current study conducted a perception analysis using mixed-methods online surveys administered to 63 participants, inquiring into their perceptions of why individuals engage in certain behaviors surrounding the sending of intimate images from friends and partners. The study found that respondents favored the concepts of (1) sharing images with romantic partners over peers; (2) sharing non-intimate images over intimate images; and (3) sharing images with consent rather than without it. …

Blockchain Security: Situational Crime Prevention Theory And Distributed Cyber Systems, Nicholas J. Blasco, Nicholas A. Fett

International Journal of Cybersecurity Intelligence & Cybercrime

The authors laid the groundwork for analyzing the crypto-economic incentives of interconnected blockchain networks and utilize situational crime prevention theory to explain how more secure systems can be developed. Blockchain networks utilize smaller blockchains (often called sidechains) to increase throughput in larger networks. Identified are several disadvantages to using sidechains that create critical exposures to the assets locked on them. Without security being provided by the mainchain in the form of validated exits, sidechains or statechannels which have a bridge or mainchain asset representations are at significant risk of attack. The inability to have a sufficiently high cost to attack …