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How Can We Improve Our Security Measures to Safeguard Against Cyber Threats?
Get PDFMany people face the issue of having their information stolen without their knowledge of what is happening. I understand that some people don’t pay attention to everything when it comes to making sure their information is being secured properly. There must be set stages for those who don’t know technology as well and will need help with knowing what to do. There are many stories of people going through issues with getting hacked or scammed out of their money or important information. We are going to dive into finding ways to fix the outcome of others knowing what to do when it comes to technology usage. Some studies prove it can take little time for someone to get into your device and take everything important to you away. Knowing what hackers are looking for within attacking their prey. Also, having other resources to help protect. Getting hacked or scammed is not based on age or gender; it is based on things like where a person works and their position. There are all different types of ways to keep your devices safe. There are many ways to see what a hacker is trying to find or steal from you. I believe that I do not understand how important it is to keep their info safe from others. The headache and stress of dealing with the outcomes of being hacked and scammed is a very tedious process to go through. When getting a new device, make sure to learn how to protect it from others
Learning With Errors Parameter Analysis
Get PDFWe implement a systematic approach for generating, evaluating, and benchmarking Learning with Errors implementations in Sage Math by varying lattice dimensions, moduli, error standard deviations, and multiple error distributions to observe concrete security-efficiency tradeoffs. The security estimator maps parameter sets to concrete security levels and bits, while performance metrics measured computational efficiency and memory requirements. Results indicate that various distribution types do not significantly impact security, though binomial distributions require more computational overhead than discrete gaussian or uniform. Memory requirements increased when modulus q increased from 12289 to 65537. Larger dimensions have an exponentially growing requirement for memory, but this growth is outpaced by the computational hardness and security at larger dimensions. Finally, BKZ attack schemes require significant computational resources and time to run and successfully break LWE encryption schemes, at even modest dimension values
What If I\u27m Still Here?
No full textWhat If I’m Still Here?
This is a near life-size abstract wood brain showing deterioration caused by dementia. The cedar wood has natural coloring of reds and whites, and each have a different hardness as well. Just as the brain has a different rate of decline depending on the amount of plaque and tangles affecting the person who is suffering with dementia. The brain shrinks over time and the white matter changes as well. This cedar brain is made in memory of my father who had dementia and loved being outdoors and working with wood as well. It is hand carved and the use of the electric Dremel hand tool was often welcomed often
06 - Queer Innovations Lab
No full textThe Queer Innovations Lab at ODU is an interdisciplinary project highlighting student and faculty research, scholarship and creative works. Q Lab will offer the opportunity to experience three interactive virtual reality environments built to represent LGBTQ historical spaces in Hampton Roads. Participants will see the sights that queer people might have seen in the past, hear their voices, and imagine stepping on the same streets and crossing the same thresholds.
Also on display will be other Q Lab projects including student comics depicting local LGBTQ history, oral history collection work, podcast production, and short documentary films highlighting local queer history.
Q Lab projects use robust archival research and community outreach to preserve local queer history and spark curiosity about local stories and experiences that expand our understanding of queer history beyond major metropolitan areas. We provide meaningful hands-on opportunities and live demonstrations to experience that history and encourage innovative efforts to build new community spaces/opportunities together
88 - Understanding the Knowledge, Attitudes, and Practices (KAP) of Mexican Young Adults in Hampton Roads on College Admissions
No full textThis study will identify and examine potential barriers in the college admissions process of Mexican Americans (Chicanos) in Hampton Roads, Virginia. Recent studies have shown college enrollment for Mexican Americans declined in 2021 due to cultural factors conflicting with their college enrollment and experience. The aim of the study is to address gaps in the literature identifying barriers preventing people of Mexican descents representation and access in college spaces. Using a quantitative approach, this study will sample young adults of Mexican descent and collect data through 45 question survey. This study will provide a framework that may be applied to future research studies involving racialized populations across the United States. Findings may provide information to policy makers and program directors to better meet the needs of Mexican Americans and increase higher education graduation rates
Artificial Beings Have Always Inspired Awe – and Terror
No full text(First paragraph) NEARLY SIX DECADES AGO – when your grandmum and grandpapa were making out in the back of a dark movie theatre – they came up for air to stare into the piercing red eye of the HAL 9000. This early cinematic depiction of advanced AI from Stanley Kubrick\u27s “2001: A Space Odyssey” smugly declared: “No 9000 computer has ever made a mistake or distorted information. We are all, by any practical definition of the words, foolproof and incapable of error.” At that moment, the potential reality of an AI smarter than humans – yet still imbued with human ego – zoomed into the magic meat machines inside the audience’s heads and forevermore lodged itself in the zeitgeist
Zombie-auras: GenAI and Hybrid Text Production
Get PDFThis paper explores the iterative evolutions of textual production and their impact on the “aura” of texts, as conceptualized by Walter Benjamin. The study identifies three key phases of textual production: the natural, the mechanized, and the digitized, each progressively displacing the “cult value” of texts. This cult value is lost through increased ease of creation, reproduction, dissemination, and dislocation of creators and audiences in time and space. The advent of Generative AI (GenAI) marks the latest evolution, transforming the “aura” into a memetic “zombie” form—familiar yet opaque, evoking both the sublime and fear. By examining Benjamin’s notion of “aura” at the threshold of mass media technologies, this paper introduces the concepts of “hybrid auras” and “zombie auras,” representing texts co-authored by non-embodied technologies that retain only a semblance of their original aura.
To illustrate this transformation, the paper begins with an analysis of the Epic of Gilgamesh, whose “natural” aura has endured through various textual evolutions. It then conducts a performance-based “aura check” by comparing Shakespeare’s embodied, mechanically reproduced texts with GenAI-generated reproductions. This experiment highlights the distillation of texts and the impact of GenAI mimicry on the aura of mechanically reproduced works. Finally, the paper broadens its scope to contemporary GenAI co-authorship beyond literature, examining how the hybridization of mechanization and digitization creates new forms of textual production. The study argues for the necessity of attuning to these new literary forms to preserve the remaining humanities-based aura in text reproduction, preventing its complete transformation into a “zombie-aura.
Leveraging Artificial Intelligence to Strengthen Human Resilience Against Phishing Attacks
Get PDFPhishing attacks are a major cybersecurity threat, tricking people with fake emails, scam websites, and social engineering tactics. As these attacks become more advanced, traditional security measures are no longer enough to stop them. This paper looks at how Artificial Intelligence (AI) can help detect and prevent phishing while also making people more aware of these threats. Using machine learning (ML), natural language processing (NLP), and behavioral analysis, AI can examine email content, sender behavior, and metadata to spot phishing attempts. AI-powered cybersecurity training can also teach people to recognize and respond to phishing by using personalized phishing tests and tracking user behavior to find those most at risk. This paper is based on a review of existing research on AI-driven phishing detection and human factors in cybersecurity. It brings together information from academic studies, industry reports, and case studies to explore how AI helps stop phishing and what challenges it faces. However, this study has some limitations since it relies only on past research and does not include new experiments or firsthand testing of AI security tools. Also, while AI can improve phishing detection, its success depends on the quality of training data and how attackers change their tactics. This paper concludes that the best way to improve cybersecurity is by combining AI-based security with user education and strong security policies
Digital Thread: Bridging Macro–Micro Services in System-of-Systems
Get PDFOrganizations and industries increasingly rely on distributed services in decentralized environments—ranging from large-scale, system-of-system architectures to fine-grained, agent-based microservices. While this distributed paradigm offers flexibility and innovation, it presents critical challenges such as interoperability gaps, inconsistent data formats, and a lack of holistic oversight. Traditional integration approaches, including ad-hoc middleware or enterprise service buses, tend to solve these issues reactively. As a result, technical debt accumulates, stakeholder misalignments persist, and scaling to new demands becomes complex. This research proposes digital thread (DT) as the unifying framework to create an authoritative source of truth: a continuous flow of information across the system lifecycle. Unlike data-centric solutions focusing on static datasets or one-off integrations, a process-oriented digital thread underscores the dynamic relationships, feedback loops, and evolving contexts in which services operate. DT weaves continuity, traceability, and interoperability—to provide a robust yet adaptable integration strategy. When applied to complex use cases—such as autonomous supply chain coordination, healthcare IoT infrastructures, or multi-agent transportation networks—this framework fosters real-time decision support and minimizes the risk of siloed operations. For instance, in a mobility-as-a-service platform comprising ride-sharing services (micro-level agents) and government-regulated transit systems (macro-level entities), a digital thread can reconcile data variety while ensuring regulatory compliance. While the aerospace and automobile industry has demonstrated successful use cases of this approach, significant barriers like - integrating legacy infrastructure and scalability regarding security, privacy, and digital governance remain questionable. Remote deployment of services and cloud-based distribution also require elastic architectures and automated semantic reconciliation methods. Given these considerations, DT emerges as a transformative enabler in bridging macro to micro-level services. As industries increasingly turn to agent-based, distributed paradigms, the DT’s capacity to harmonize heterogeneity at scale positions it as a cornerstone for next-generation system integration and lifecycle management