Forensic Science and Technology Commons^™

Stop Blaming My Users: Illumination Of The Technocentric Mythos Bias, Ervin H. Frenzel, Richard Lightcap

Journal of Cybersecurity Education, Research and Practice

 Abstract -This conceptual essay addresses the need for systemic and systematic transdisciplinary analytical techniques within cybersecurity and technical security. This conceptual essay is contingent upon recognition that cybersecurity is not simply technical in nature, it does not need an adversary, and more importantly it is based upon systems engineering and systems thinking.  The essay contributes a socio-technical attribution chain and field-specific ontology/taxonomy which distinguish user-triggered events from root causes, latent conditions, technical debt, validation failures, governance failures, and attribution bias before assigning responsibility to end users. It systematically defines an ontology inclusive of developer technical debt, organizational debt arising from …

Applications Of Suas Thermal Imaging And Lidar At Letort Spring Garden Preserve: An Independent Study, Kelsey Wardell

Harrisburg University Other Works

No abstract provided.

Ai's Double Edged Sword: Fighting Against Synthetic Csam, Shekhinah Adra Green

Cybersecurity Undergraduate Research Showcase

The rapid advancements in generative artificial intelligence has introduced new challenges in the production and distribution of synthetic child sexual abuse material (CSAM). AI has the capabilities of creating highly realistic imagery and videos, which  raises serious legal and ethical concerns, increasing the risk of harm, exploitation, and revictimization.

This paper discusses the legal improvements needed in order to lower the change of legal loopholes, how digital forensic analyst use advanced tools to identify and investigate synthetic material, and different methods to start the reduction of synthetic CSAM.

The Psychology Behind Ai-Generated Phishing And Social Engineering Attacks, A’Shya Reynolds

School of Cybersecurity Master's Level Projects and Papers

Cybercrime has evolved significantly with the integration of artificial intelligence (AI), transforming traditional phishing and social engineering attacks into highly sophisticated and personalized threats. While early phishing attempts relied on generic messaging and low success rates, modern AI-driven attacks leverage advanced data analytics, natural language processing, and behavioral prediction to manipulate victims more effectively.

This research examines how cybercriminals utilize AI to enhance psychological manipulation techniques in phishing and social engineering attacks, increasing victim susceptibility. Drawing from interdisciplinary literature in cybersecurity and psychology, this study explores key psychological mechanisms, including cognitive biases, emotional triggers, and decision-making processes that influence victim …

Confession Contamination And Dna Exonerations, 1989-2025, Brandon L. Garrett

Faculty Scholarship

No abstract provided.

Eyewitness Consent To Be Video Recorded: Implications For Identification Accuracy And Confidence, Sarah Argüelles

Student Theses

Recently, a recommendation has emerged for law enforcement to record the full eyewitness identification procedure, recognizing the critical role eyewitness testimony plays in the justice system (Wells et al., 2020). However, in some states, such as New York, law enforcement is required to seek consent from witnesses before recording (Municipal Police Training Council & Division of Criminal Justice Services, 2017). Since this practice is relatively new, there has been limited research on how obtaining consent may affect eyewitness accuracy. It was hypothesized that obtaining consent to video record could be linked to a witness’s confidence in their identification, with higher …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

The Rape Kit Backlog: Problems And Solutions, Tracey Cao

Themis: Research Journal of Justice Studies and Forensic Science

This literature review examines the ongoing issue of rape kit backlog in the United States. Rape kits are a means of evidence collection from victims of sexual assault that can be used in court. Across the nation, many state jurisdictions have hundreds and thousands of rape kits left untested and locked away in storage facilities. Consent for testing, police bias, and funding issues are the main issues that will be addressed. Many victims choose not to have their kits tested. Other kits never get tested due to police choosing not to submit a kit due to their bias against some …

Deepfakes On Trial: Developing A High-Accuracy, Court-Admissible Ai Pipeline For Deepfake Detection In Corporate Fraud Litigation, Aiden J. Green

Honors College Theses

As deepfake technology advances, cybercriminals are increasingly using AI-generated videos and audios to impersonate executives and carry out sophisticated CEO fraud schemes. These synthetic forgeries target human trust and corporate communication systems, creating an urgent need for forensic tools capable of authenticating digital evidence with legal accuracy. This thesis presents a forensic-grade AI deepfake detection pipeline designed for this purpose, emphasizing courtroom admissibility, reproducibility, and evidentiary integrity. Built entirely with free, opensource tools, the framework combines metadata analysis, AI-powered spectrogram analysis, neural artifact detection, and facial manipulation recognition into a transparent workflow that accurately identifies synthetic media. It was trained …

The Role And Impact Of Forensic Evidence In The Prosecution Of Homicide Cases In The U.S., Afrah Dakhilallah A. Altubait

Theses and Dissertations

The role of forensic evidence in the criminal justice process is an important topic that is significant from both theoretical and practical perspectives. The present study is dedicated to a critical analysis of the role of this evidence in the U.S. criminal justice process with a focus on its significance in homicide cases. Specifically, this dissertation examines the implications of using DNA and fingerprint evidence for convictions in U.S. homicide cases by analyzing the role of DNA and fingerprint evidence in the prosecution of “hot” and “cold” homicide cases, discussing the main ways in which forensic evidence assists with prosecuting …

A New Deepfake Detection Method With No-Reference Image Quality Assessment To Resist Image Degradation, Jiajun Jiang, Wen-Chao Yang, Chung-Hao Chen, Timothy Young

Electrical & Computer Engineering Faculty Publications

Deepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection. Existing detection methods often struggle with the low-quality or compressed press, which is prevalent on social media platforms. This paper proposes a novel Deepfake detection framework that leverages No-Reference Image Quality Assessment (NRIQA) techniques, specifically, BRISQUE, NIQE, and PIQUE, to extract quality-related features from facial images. These features are then classified using a Support Vector Machine (SVM) with various kernel functions. We evaluate our method under both intra-dataset and cross-dataset settings. For …

New Insights On Expert Opinion About Eyewitness Memory Research, Travis M. Seale-Carlisle, Adele Quigley-Mcbride, Jennifer E. F. Teitcher, William E. Crozier, Chad S. Dodson, Brandon L. Garrett

Faculty Scholarship

Experimental psychologists investigating eyewitness memory have periodically gathered their thoughts on a variety of eyewitness memory phenomena. Courts and other stakeholders of eyewitness research rely on the expert opinions reflected in these surveys to make informed decisions. However, the last survey of this sort was published more than 20 years ago, and the science of eyewitness memory has developed since that time. Stakeholders need a current database of expert opinions to make informed decisions. In this article, we provide that update. We surveyed 76 scientists for their opinions on eyewitness memory phenomena. We compared these current expert opinions to expert …

Indiana Law Supporting Newly Established Indiana Innocence Project, James Owsley Boyd

Keep Up With the Latest News from the Law School (blog)

Law students from the Indiana University Maurer School of Law will have the opportunity to help exonerate wrongfully convicted Hoosiers through the newly established Indiana Innocence Project, which officially launched Saturday (Aug. 17).

Established in association with the national Innocence Project—which has helped free more than 240 wrongfully convicted prisoners since 1992—the Indiana Innocence Project (INIP) has been made possible through the support of the Herbert Simon Family Foundation, along with the Law School and IU’s Department of Criminal Justice.

The Indiana Innocence Project will screen and investigate cases with meritorious innocence claims, secure DNA testing when biological evidence …

The Mda Forensic Dental Team Needs More Volunteers, Patrick Houlihan Dds

The Journal of the Michigan Dental Association

The Michigan Dental Association Forensic Dental Identification Team (MDA-FDIT) urgently needs more volunteers. In this article, learn of their impressive record of service to the public and the profession, which has been widely recognized for the important role it plays in the identification of both individual victims and those of mass disasters. Formed in the early 1980s, MDA-FDIT plays a crucial role in identifying disaster victims using dental records. The team has been instrumental in identifying victims from incidents like the 1987 Northwest Flight 255 crash and has assisted in various mass-casualty situations, including 9/11 and Hurricane Katrina. MDA-FDIT works …

Influences Of Social Media, Samuel Whatley Ii

Helm's School of Government Conference - 2021-2024

The Internet is a double-edged sword because it provides easy access to information of both good and bad intentions. Censorship justifications under whoever deems something misinformation, provide little oversight on being a neutral public forum. For instance, the influence of elections by not covering a story and censoring opposing views does not promote the notion of being a neutral public forum. Artificial intelligence being applied to many technological applications have fueled the censorship machine. In some instances, artificial intelligence can generate stories to media sites (i.e., ChatGPT) with no verification of the details. From science fiction to science reality, taking …

Understandings Of Vulnerability And Social Determinants Of Health In Forensic And Expert Social Anthropology: A Scoping Review, James W. W. Rose, David M. Tran

The Qualitative Report

Forensic and expert social anthropology (FESA) is a branch of social anthropology that specialises in the provision of evidence to legal-administrative processes, which are overseen by courts and other legally empowered bodies, and which give regard to the social cultures of legally and administratively involved individuals and communities (LAIICs). Despite a preoccupation with political advocacy in the broader philosophy of social anthropology, FESA literature does not typically give regard to LAIIC vulnerability defined qualitatively in terms of social determinants of health, including physical, mental, and social well-being. This paper presents findings from a JBI/PRISMA-ScR scoping review of n=1,674 texts, identifying …

Judging Firearms Evidence, Brandon L. Garrett, Eric Tucker, Nicholas Scurich

Faculty Scholarship

Firearms violence results in hundreds of thousands of criminal investigations each year. To try to identify a culprit, firearms examiners seek to link fired shell casings or bullets from crime scene evidence to a particular firearm. The underlying assumption is that firearms impart unique marks on bullets and cartridge cases, and that trained examiners can identify these marks to determine which were fired by the same gun. For over a hundred years, firearms examiners have testified that they can conclusively identify the source of a bullet or cartridge case. In recent years, however, research scientists have called into question the …

Who Owns Children’S Dna?, Nila Bala

Michigan Law Review

In recent years, DNA has become increasingly easy to collect, test, and sequence, making it far more accessible to law enforcement. While legal scholars have examined this phenomenon generally, this Article examines the control and use of children’s DNA, asking who ultimately owns children’s DNA. I explore two common ways parents—currently considered “owners” of children’s DNA— might turn over children’s DNA to law enforcement: (1) “consensual” searches and (2) direct-to-consumer testing. My fundamental thesis is that parental consent is an insufficient safeguard to protect a child’s DNA from law enforcement. At present, the law leaves parents in complete control of …

Dna Analysis: The Answer For Unsolved Cases?, Sarah Hetchler

Master of Arts in Criminal Justice Leadership

DNA analysis has become a crucial part of solving cases. It has developed significantly since its creation in the mid-1980s. The longing for answers within unsolved cases is historically lengthy, leaving traces of distrust and injustice. Criminologists offer a potential solution to the mess created by connecting DNA analysis to protect victims and communities. DNA evidence and analysis can assist in solving cases and provide answers for exonerees. Like public genealogy websites, law enforcement agencies must acknowledge new methods to solve issues. Not only could law enforcement agencies solve and arrest suspects through DNA analysis, but DNA could also provide …

Some Legal And Practical Challenges In The Investigation Of Cybercrime, Ritz Carr

Cybersecurity Undergraduate Research Showcase

According to the Internet Crime Complaint Center (IC3), in 2021, the United States lost around $6.9 billion to cybercrime. In 2022, that number grew to over $10.2 billion (IC3, 2022). In one of many efforts to combat cybercrimes, at least 40 states “introduced or considered more than 250 bills or resolutions that deal significantly with cybersecurity” with 24 states officially enacting a total of 41 bills (National Conference on State Legislatures, 2022).

The world of cybercrime evolves each day. Nevertheless, challenges arise when we investigate and prosecute cybercrime, which will be examined in the following collection of essays that highlight …

Judging Firearms Evidence And The Rule 702 Amendments, Brandon Garrett, Nicholas Scurich, Eric Tucker, Hannah Bloom

Faculty Scholarship

No abstract provided.

Reply To Response By Fbi Laboratory Filed In Illinois V. Winfield And Affidavit By Biederman Et Al. (2022) Filed In Us V. Kaevon Sutton (2018 Cf1 009709), Susan Vanderplas, Kori Khan, Heike Hofmann, Alicia Carriquiry

Department of Statistics: Faculty Publications

1 Preliminaries

1.1 Scope

The aim of this document is to respond to issues raised in Federal Bureau of Investigation¹ and Alex Biedermann, Bruce Budowle & Christophe Champod.²

1.2 Conflict of Interest

We are statisticians employed at public institutions of higher education (Iowa State University and University of Nebraska, Lincoln) and have not been paid for our time or expertise when preparing either this response or the original affidavit.³ We provide this information as a public service and as scientists and researchers in this area.

1.3 Organization

The rest of the document precedes as follows: we begin …

Firearms And Toolmark Error Rates, Susan Vanderplas, Kori Khan, Heike Hofmann, Alicia L. Carriquiry

Department of Statistics: Faculty Publications

We have outlined several problems with the state of error rate studies on firearm and toolmark examination. Fundamentally, we do not know what the error rate is for these types of comparisons. This is a failure of the scientific study of toolmarks, rather than the examiners themselves, but until this is corrected with multiple studies that meet the criteria described in Section 3, we cannot support the use of this evidence in criminal proceedings.

Forensic Science In Legal Education, Brandon L. Garrett, Glinda S. Cooper, Quinn Beckham

Faculty Scholarship

In criminal cases, forensic science reports and expert testimony play an increasingly important role in adjudication. More states now follow a federal reliability standard, following Daubert v. Merrell Dow Pharmaceuticals and Rule 702, which calls upon judges to assess the reliability and validity of such scientific evidence. Little is known about what education law schools provide regarding forensic and scientific evidence or what types of specialized training they receive on scientific methods or evidence. Whether law schools have added forensic science courses to their curricula in recent years was not known. To better understand the answers to those questions, in …

Timestamp Estimation From Outdoor Scenes, Tawfiq Salem, Jisoo Hwang, Rafael Padilha

Annual ADFSL Conference on Digital Forensics, Security and Law

The increasing availability of smartphones allowed people to easily capture and share images on the internet. These images are often associated with metadata, including the image capture time (timestamp) and the location where the image was captured (geolocation). The metadata associated with images provides valuable information to better understand scenes and events presented in these images. The timestamp can be manipulated intentionally to provide false information to convey a twisted version of reality. Images with manipulated timestamps are often used as a cover-up for wrongdoing or broadcasting false claims and competing views on the internet. Estimating the time of capture …

Anatomy Of An Internet Hijack And Interception Attack: A Global And Educational Perspective, Ben A. Scott, Michael N. Johnstone, Patryk Szewczyk

Annual ADFSL Conference on Digital Forensics, Security and Law

The Internet’s underlying vulnerable protocol infrastructure is a rich target for cyber crime, cyber espionage and cyber warfare operations. The stability and security of the Internet infrastructure are important to the function of global matters of state, critical infrastructure, global e-commerce and election systems. There are global approaches to tackle Internet security challenges that include governance, law, educational and technical perspectives. This paper reviews a number of approaches to these challenges, the increasingly surgical attacks that target the underlying vulnerable protocol infrastructure of the Internet, and the extant cyber security education curricula; we find the majority of predominant cyber security …

Deepfakes, Shallowfakes, And The Need For A Private Right Of Action, Eric Kocsis

Dickinson Law Review (2017-Present)

For nearly as long as there have been photographs and videos, people have been editing and manipulating them to make them appear to be something they are not. Usually edited or manipulated photographs are relatively easy to detect, but those days are numbered. Technology has no morality; as it advances, so do the ways it can be misused. The lack of morality is no clearer than with deepfake technology.

People create deepfakes by inputting data sets, most often pictures or videos into a computer. A series of neural networks attempt to mimic the original data set until they are nearly …

A Lightweight Reliably Quantified Deepfake Detection Approach, Tianyi Wang, Kam Pui Chow

Annual ADFSL Conference on Digital Forensics, Security and Law

Deepfake has brought huge threats to society such that everyone can become a potential victim. Current Deepfake detection approaches have unsatisfactory performance in either accuracy or efficiency. Meanwhile, most models are only evaluated on different benchmark test datasets with different accuracies, which could not imitate the real-life Deepfake unknown population. As Deepfake cases have already been raised and brought challenges at the court, it is disappointed that no existing work has studied the model reliability and attempted to make the detection model act as the evidence at the court. We propose a lightweight Deepfake detection deep learning approach using the …

A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation, Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael L. Johnstone, Wencheng Yang

Annual ADFSL Conference on Digital Forensics, Security and Law

Network intrusion is a well-studied area of cyber security. Current machine learning-based network intrusion detection systems (NIDSs) monitor network data and the patterns within those data but at the cost of presenting significant issues in terms of privacy violations which may threaten end-user privacy. Therefore, to mitigate risk and preserve a balance between security and privacy, it is imperative to protect user privacy with respect to intrusion data. Moreover, cost is a driver of a machine learning-based NIDS because such systems are increasingly being deployed on resource-limited edge devices. To solve these issues, in this paper we propose a NIDS …

Human-Controlled Fuzzing With Afl, Maxim Grishin, Igor Korkin, Phd

Annual ADFSL Conference on Digital Forensics, Security and Law

Fuzzing techniques are applied to reveal different types of bugs and vulnerabilities. American Fuzzy Lop (AFL) is a free most popular software fuzzer used by many other fuzzing frameworks. AFL supports autonomous mode of operation that uses the previous step output into the next step, as a result fuzzer spends a lot of time analyzing minor code sections. By making fuzzing process more focused and human controlled security expert can save time and find more bugs in less time. We designed a new module that can fuzz only the specified functions. As a result, the chosen ones will be inspected …