Poster Sessions

Assistant Prof Yinghao Pan

Assistant Prof Hee Cheol Chung

Postdoctoral Researcher Alex Suptela

As the adoption of cryptocurrencies continues to grow, understanding how novice users interact with web-based cryptocurrency wallets and traditional payment systems becomes crucial for improving user experience and security. This study investigates the usability, privacy, and security aspects of web browser-based cryptocurrency wallets, focusing on MetaMask, vis-à-vis conventional credit card systems. In our mixed-method study involving 19 novice users, we analyzed and compared their experiences with wallet creation, cryptocurrency transactions, and purchases. Our findings unveil a nuanced scenario where usability issues coexist with heightened privacy and security awareness. We introduce the "cryptocurrency privacy paradox," where users express privacy concerns alongside transparent transactions. Design recommendations, informed by user insights, offer pathways to enhance web-based cryptocurrency wallet user-friendliness. This research advances our grasp of the interplay between usability, privacy, and security in cryptocurrency transactions and payments, shedding light on the intricate facets shaping novice user perceptions and behaviors.

Computer networks are designed for resilience against fluctuations in traffic and packet disruptions, often have security measures retrofitted post-deployment. This common practice can lead to performance issues and disruptions, primarily due to misconfigurations and suboptimal implementations. As knowledge-driven technology, autonomous policy generators and deployment pipelines improve, refactoring security function placement becomes more important. In this paper, we explore the implications of introducing a novel network security framework to seamlessly integrate network policy enforcement apparatuses and security middle boxes that simulator knowledge aggregators. We then highlight the trade-offs between different program approaches that focus on storage and low latency. Our paper illustrates how well-designed in-network security strategies can provide control loops with minimal overhead, as they provide policy enforcement in existing network infrastructure.

Recent days Large language models (LLMs) show remarkable abilities in generating human-like text, answering questions, translating contents and more. Yet many times generative models fall short in presenting valid reasons and logical aspects, instead end up hallucinating about many points. Compared to that, cognitive architectures possess advanced reasoning, learning, and memory capacities that mimic human cognition. But again cognitive models lack the capacity to generate text and struggle with processing new data. An integration of LLMs and cognitive AI has the promise for producing more reliable and versatile models. This review paper presents a study on recent methodologies for integrating LLMs with cognitive architectures to empower the strengths of each approach and overcome their respective limitations. Through evaluation across various themes, the paper explores techniques aimed to address the challenges of the integration process.

Large Language Models (LLMs) are emerging as an influential technology in the evolving landscape of AI-enabled creative processes. However, the ongoing tendency of the LLM based applications to marginalize the humanistic aspects of creativity is increasingly causing concern among various stakeholders. If we search for “LLMs and co-creativity” in the literature we won’t find it because it’s too early. We can find literature about LLMs being creative, but not co-creative because the recent focus is primarily on making the LLMs more creative rather than co-creative. From this observation, the study aimed to do a literature review on the comparison of the Human-Centric Co-Creative systems with the LLMs based systems. A systematic and comprehensive search for literature focusing on the Human-Centric Co-Creative systems and Large Language Models (LLMs) was used for this review. This study proposes a framework for integrating the LLMs into the co-creative systems by providing a comprehensive review of interaction models, ethical considerations, and evaluation methods for assessing these ethical dimensions in co-creative systems, analyzing correspondences with the LLMs and proposing directions for future research. This study contends that the LLMs can be integrated with co-creative systems to foster a more collaborative and inclusive dialogue between humans and AI which would preserve human creativity and pave the way for augmented creative outcomes.

We have proposed an unprecedented deterministic model of Lassa Hemorrhagic fever (LHF) model with nonlinear force of LHF infection to capture the transmission dynamics and long-term effects of the disease. The Qualitative analyses we have conveyed on this model using well-established methods viz: Cauchy's differential theorem, Birkhoff & Rota's theorems verify and reveal the well-posedness of the model respectively. We established that an LHF-free equilibrium termed the disease-free equilibrium (DFE) exists for this model and this equilibrium, however, from our stability analyses, tends to be stable when the basic reproduction number computed via the next generation matrix method is less than unity (one); and unstable otherwise. Furthermore, we have carried out a sensitivity analysis to check for the variation effects of the model parameters when increased or decreased using the normalized forward-sensitivity index; unraveling the most sensitive parameters which requires the attention of the healthcare workers as; the effective contact rates and the rodents’ recruitment rate. After which numerical simulations of the model were carried out to verify our qualitative analyses (Stability and sensitivity analysis) and to study the dynamical behavior of the model; showing that the presence of saturation instantaneously causes the system to approach a DFE/LHF-Free equilibrium. From these qualitative analyses and numerical simulation results, we recommend early intervention and early treatment of Lassa hemorrhagic virus infection (LAHV) with Ribavirin on the infected, maximum hygiene practices and periodic evacuation of rodents in households in order to curb the recruitment of wild/rodents.