"Taken In By The 'Man In A White Van' Story": The Digital Activism Efforts Of One Women's Civic Leadership Organization In Human Trafficking Awareness,
2022
University of Central Florida
"Taken In By The 'Man In A White Van' Story": The Digital Activism Efforts Of One Women's Civic Leadership Organization In Human Trafficking Awareness, Alex Rister
Electronic Theses and Dissertations, 2020-2023
Feminist activism in the digital age leverages technology to raise awareness of, and to mobilize support for, important issues and causes. Human trafficking is one such cause, and preventing it is included as a United Nations Sustainable Development Goal to achieve gender equality and empower women and girls. This study sought to understand the digital activism strategies of one women's civic leadership organization, the Junior League, for human trafficking awareness. In addition, this project analyzed how those digital activism strategies did or did not align with social justice approaches to human trafficking and how those digital activism strategies did or …
Timestamp Estimation From Outdoor Scenes,
2022
Department of Computer Information Technology, Purdue University
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,
2022
Edith Cowan University
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 …
Towards A Psychological Science Of Abolition Democracy: Insights For Improving Theory And Research On Race And Public Safety,
2022
University at Albany, State University of New York
Towards A Psychological Science Of Abolition Democracy: Insights For Improving Theory And Research On Race And Public Safety, Cynthia J. Najdowski, Phillip Atiba Goff
Psychology Faculty Scholarship
We call for psychologists to expand their thinking on fair and just public safety by engaging with the “Abolition Democracy” framework that Du Bois (1935) articulated as the need to dissolve slavery while simultaneously taking affirmative steps to rid its toxic consequences from the body politic. Because the legacies of slavery continue to produce disparities in public safety in the U.S, both harming Black people and the institutions that could keep them safe, psychologists must take seriously questions of history and structure in addition to immediate situations. In the present article, we consider the state of knowledge regarding psychological processes …
Indicators Of Deception: Science Or Non-Science,
2022
Gardner-Webb University
Indicators Of Deception: Science Or Non-Science, Kristina Vasquez
Undergraduate Honors Theses
Deception detection is used by many law enforcement professionals who work in interviews and interrogations. The ability to detect deception or having knowledge on the signs of deception is very important in not only law enforcement, but in other careers and everyday life. The question remains: is deception detection a science or not a science? There are three areas where someone can learn how to detect deception and those are verbal communication, non-verbal communication, and paralanguage. The use of verbal communication looks at what the person is saying with their words. The use of non-verbal communication looks at what someone …
Microsoft Defender Will Be Defended: Memoryranger Prevents Blinding Windows Av,
2022
Bachelor of Information Security, MEPhI; Moscow, Russia
Microsoft Defender Will Be Defended: Memoryranger Prevents Blinding Windows Av, Denis Pogonin, Igor Korkin, Phd
Annual ADFSL Conference on Digital Forensics, Security and Law
Windows OS is facing a huge rise in kernel attacks. An overview of popular techniques that result in loading kernel drivers will be presented. One of the key targets of modern threats is disabling and blinding Microsoft Defender, a default Windows AV. The analysis of recent driver-based attacks will be given, the challenge is to block them. The survey of user- and kernel-level attacks on Microsoft Defender will be given. One of the recently published attackers’ techniques abuses Mandatory Integrity Control (MIC) and Security Reference Monitor (SRM) by modifying Integrity Level and Debug Privileges for the Microsoft Defender via syscalls. …
The Influence Of Sociopolitical Factors On Adolescents’ And Youths’ Development,
2022
University of Kentucky
The Influence Of Sociopolitical Factors On Adolescents’ And Youths’ Development, Banafsheh Aghayeeabianeh
Theses and Dissertations--Family Sciences
Youths and adolescents are one of the major perpetrators of antisocial and deviant behaviors, which have deleterious consequences for both the perpetrators and society. Although there is extensive literature on youth and adolescent antisocial behavior, some correlates of youth antisociality are not known yet. As such, the present study is devoted to understanding the micro- and macro-level predictors of youth and adolescents’ antisociality in three contexts. Three empirical studies applying bioecological systems theory and analyzing data from the International Dating Violence database using Mixed Effects Models were conducted to investigate the ecology of the development of antisocial behaviors among youth. …
Important Aspects To Women’S Re-Integration: Positive Influences On Women’S Reentry Experience After Being Released From Prison,
2022
Minnesota State University, Mankato
Important Aspects To Women’S Re-Integration: Positive Influences On Women’S Reentry Experience After Being Released From Prison, Sarah A. Benson
All Graduate Theses, Dissertations, and Other Capstone Projects
Researchers can analyze statistics of recidivism rates and decipher that they are at an alarming rate—specifically regarding women convicts. The population of women in prison has drastically increased, and with that, so have their recidivism rates. Analyzing statistical data of incarceration and recidivism can show us the numbers, but what is the reason? Why do some women struggle to stay out of prison? I argued that one reason is because women who are released from prison are severely underprepared to reintegrate back into society and, are therefore, set up for failure. Previous studies suggest that reentry programs, education programs, relationships …
A Lightweight Reliably Quantified Deepfake Detection Approach,
2022
The University of Hong Kong, Department of Computer Science
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 …
Findings And Implications From A Project On White Supremacist Entry And Exit Pathways,
2022
RTI International
Findings And Implications From A Project On White Supremacist Entry And Exit Pathways, Matthew Demichele, Wesley S. Mccann, Kathleen Blee, Peter Simi
Sociology Faculty Articles and Research
This Research Note provides an overview of the main findings from a project on white supremacist pathways - or why some individuals join and leave white supremacist groups - with a specific focus on elucidating common themes, theoretical applications, main takeaways, and providing recommendations for academics and policymakers. One key lesson is that identity is central to entry and exit pathways.
Using Simulation For Law Enforcement De-Escalation Training,
2022
University of Central Florida
Using Simulation For Law Enforcement De-Escalation Training, Julie Kent
Electronic Theses and Dissertations, 2020-2023
Law enforcement needs simulation practice tailored to de-escalation skills. Law enforcement officers spend most of their training time practicing how to use force appropriately and very little time practicing how to avoid using force. There is little research into the best ways for law enforcement to reduce their use of force and the best ways to provide training to individuals to coach them to avoid using force. There are many training programs promoting de-escalation techniques, but there is little research into the effectiveness of these programs beyond the ability of individuals to perform the skills that are trained. There is …
Fear Of The Future: A Speculative Exploration Of Cinematic Dystopias,
2022
Eastern Kentucky University
Fear Of The Future: A Speculative Exploration Of Cinematic Dystopias, Katarina Megan Mcguire
Online Theses and Dissertations
Dystopia is often thought of as a simple fictional device or some far off possibility of an unrecognizable Earth. But what if dystopias are actually allegorical devices warning of the long-term effects of social controls like criminalization as well as reflections on current socio-political conditions? The aim of this study was to explore cinematic dystopias and their depictions of and reflections on such themes, including how they might act as speculations on the future. Relying on qualitative content analysis, this study gathered data from three dystopic films, including V for Vendetta, Minority Report, and Equilibrium, all chosen for their criminological …
Social Construction Of Hate Crimes In The Us: A Factorial Survey Experiment,
2022
University of Kentucky
Social Construction Of Hate Crimes In The Us: A Factorial Survey Experiment, Chenghui Zhang
Theses and Dissertations--Sociology
Hate crime is a social construct that is conceptualized and defined through judgments about the meaning of bias and prejudice, as well as the causal link between motivation and criminal act. While the enforcement of federal statutes has extended the protected grounds of hate crime, significant underreporting issues impede the understanding of the actual scale, scope, and severity of hate crimes. The purpose of this dissertation is to investigate what and how incident factors and respondents’ preexisting attitudes and beliefs influence the perceptions of a bias incident and the willingness to report such incidents. Following a three-paper format, this dissertation …
An Examination Of Three Transitional Events In The Substance Misuse Trajectories Of Women With Criminal Legal System Involvement,
2022
University of Kentucky
An Examination Of Three Transitional Events In The Substance Misuse Trajectories Of Women With Criminal Legal System Involvement, Martha Tillson
Theses and Dissertations--Sociology
Research has consistently demonstrated that criminal legal system (CLS)-involved women are distinct from men in initiation and course of drug use, with important differences on biological, environmental, and sociocultural levels. Thus, the unique pathways and transitions into and out of drug use for women with CLS involvement are critical to consider from a research perspective, but also from a need to develop and support evidence-based, women-centered services in correctional contexts. This dissertation project uses a three-paper format to investigate three aims: (1) to understand CLS-involved women’s initiations to injection drug use and their experiences providing injection initiation assistance (IIA) to …
A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation,
2022
School of Science, Edith Cowan University
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,
2022
Bachelor of Information Security, MEPhI; Moscow, Russia
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 …
The Amorphous Nature Of Hackers: An Exploratory Study,
2022
University of New Haven
The Amorphous Nature Of Hackers: An Exploratory Study, Kento Yasuhara, Daniel Walnycky, Ibrahim Baggili, Ahmed Alhishwan
Annual ADFSL Conference on Digital Forensics, Security and Law
In this work, we aim to better understand outsider perspectives of the hacker community through a series of situation based survey questions. By doing this, we hope to gain insight into the overall reputation of hackers from participants in a wide range of technical and non-technical backgrounds. This is important to digital forensics since convicted hackers will be tried by people, each with their own perception of who hackers are. Do cyber crimes and national security issues negatively affect people’s perceptions of hackers? Does hacktivism and information warfare positively affect people’s perception of hackers? Do individual personality factors affect one’s …
Internal Validation Of Mastr™ Probabilistic Genotyping Software For The Interpretation Of 2–5 Person Mixed Dna Profiles,
2022
University of Nebraska-Lincoln
Internal Validation Of Mastr™ Probabilistic Genotyping Software For The Interpretation Of 2–5 Person Mixed Dna Profiles, Michael S. Adamowicz, Taylor N. Rambo, Jennifer L. Clarke
Forensic Science: Faculty Publications
Mixed human deoxyribonucleic acid (DNA) samples present one of the most challenging pieces of evidence that a forensic analyst can encounter. When multiple contributors, stochastic amplification, and allele drop-out further complicate the mixture profile, interpretation by hand becomes unreliable and statistical analysis problematic. Probabilistic genotyping software has provided a tool to address complex mixture interpretation and provide likelihood ratios for defined sets of propositions. The MaSTR™ software is a fully continuous probabilistic system that considers a wide range of STR profile data to provide likelihood ratios on DNA mixtures. Mixtures with two to five contributors and a range of component …
Digital Forensics For Mobility As A Service Platform: Analysis Of Uber Application On Iphone And Cloud,
2022
Purdue University
Digital Forensics For Mobility As A Service Platform: Analysis Of Uber Application On Iphone And Cloud, Nina Matulis, Umit Karabiyik
Annual ADFSL Conference on Digital Forensics, Security and Law
Uber is a ride-hailing smartphone application (app) that allows users to order a ride in a highly efficient manner. The Uber app provides Mobility as a Service and allows users to easily order a ride in a private car with just a few clicks. Uber stores large amounts of data on both the mobile device the app is being used on, and in the cloud. Examples of this data include geolocation data, date/time, origin/destination addresses, departure/arrival times, and distance. Uber geolocation data has been previously researched to investigate the privacy of the Uber app; however, there is minimal research relating …
Smart Home Forensics: Identifying Ddos Attack Patterns On Iot Devices,
2022
Purdue University
Smart Home Forensics: Identifying Ddos Attack Patterns On Iot Devices, Samuel Ho, Hope Greeson, Umit Karabiyik
Annual ADFSL Conference on Digital Forensics, Security and Law
Smart homes are becoming more common as more people integrate IoT devices into their home environment. As such, these devices have access to personal data on their homeowners’ networks. One of the advantages of IoT devices is that they are compact. However, this limits the incorporation of security measures in their hardware. Misconfigured IoT devices are commonly the target of malicious attacks. Additionally, distributed denial-of-service attacks are becoming more common due to applications and software that provides users with easy-to-use user interfaces. Since one vulnerable device is all an attacker needs to launch an attack on a network, in regards …
