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Key-Based Authentication Scheme for eVTOL Drones Using Chebyshev Chaotic Maps
The development of electric Vertical Take-Off and Landing (eVTOL) drones signifies a substantial advancement in urban air mobility, ready to transform transportation models in densely populated regions. These advanced drones, distinguished by their capacity to function in limited spaces and their minimized environmental impact, are set to transform individual, shipping, emergency services, and public safety activities. Nonetheless, like any transformational technology, the implementation of eVTOL systems presents many challenges, especially in the realm of cybersecurity. Adding many devices and entities to an eVTOL network increases the risk of privacy and security attacks. This paper proposes a key-based authentication scheme that utilizes Chebyshev polynomials as chaotic maps, hash functions, and the AES-256 encryption technique. The network members can securely generate all encryption keys without sharing secret data, which solves one of the main problems of the symmetric encryption scheme in the authentication service. In addition, compared with other schemes that depend on current keys to generate future keys, this proposed scheme can work in parallel and generate all the required keys for the same eVTOL drone at the same time. The security and privacy analysis shows that this scheme achieves the required features identified in the design goals. The results showed that this scheme has less computation and communication overhead when compared to other existing schemes
Jump Strategy Changes in Collegiate Women Soccer Players
Countermovement jumps (CMJ) are often utilized to monitor athletes because of their sensitivity to neuromuscular fatigue, which can be seen through assessing jump strategies. The current literature has reported conflicting views on how jump performance is impacted over acute and longitudinal testing. This is likely due to insufficient analyses regarding the impact of fatigue on jump strategy. This study aimed to investigate how the integration of jump strategy metrics and single-subject analysis could provide a better representation of the presence of fatigue among collegiate women soccer players. Eighteen participants were utilized in this study. Participants were required to complete three CMJs and a rate of perceived exertion (RPE) questionnaire for three consecutive days to determine how jump strategy was impacted using an ecologically valid method to induce fatigue (sport practice). Significant increases in performance from pre-to-post practice were seen across all three days at the group level. Jump data was collected over five different time points throughout the season to examine jump performance with the accumulation of fatigue. A one-way repeated measures ANOVA revealed significant changes in jump strategy metrics where jump height remained unchanged throughout. Both studies utilized a single-subject analysis to observe individual changes. During both studies, athletes were identified as having performance changes that deviated from the team. This study showed that incorporating jump strategy metrics into an analysis can provide a detailed depiction of what is occurring. Incorporating these factors can allow practitioners to make better data-driven decisions and help reduce the chance of injuries
Movement Ecology and Trophic Dynamics in the northern Gulf of Mexico: Implications for Fisheries Management
The northern Gulf of Mexico (nGOM) is a diverse and productive region for living marine resources. The region supports lucrative commercial and recreational fisheries ranging from low-trophic-level species, such as penaeid shrimps and forage fishes, to high-trophic-level predators (e.g. Yellowfin Tuna). This thesis contributes to the region’s ecological knowledge, with the primary aim of enhancing management efforts and providing direct management advice to two important fisheries. In Chapter 1, we develop a traditional per-recruit model for Southern Flounder, as well as a spatiotemporally integrated per-recruit model that incorporates the spatial distribution of fishing effort and the stock’s movement ecology. Fish movement was informed using n = 80 acoustically tagged individuals. Chapter 1 expands upon our understanding of the movement ecology of Southern Flounder and using a novel modeling approach, we evaluate management strategies for the stock. Chapter 2 employs a multispecies trophic model that integrates stomach contents and biotracer data into a single modeling framework to assess the trophic interactions of 41 finfish species and their prey. Many of these species, such as Spotted Sea Trout, Red Drum, Southern Flounder, and Gulf Menhaden, are of significant economic importance to the region. This chapter refines our understanding of the region\u27s trophic dynamics and offers the ability to inform future ecosystem models. Overall, this thesis contributes to knowledge concerning the Southern Flounder’s spawning season movement dynamics and provides a framework for managing this iconic, yet declining, species, as well as enhances our understanding for many of the nGOM’s complex trophic relationships
Misinformation in Referenda
https://aquila.usm.edu/katrinagulfcoast_photos/1040/thumbnail.jp
Disinformation, Misinformation, and Democracy: Legal Approaches in Comparative Context
https://aquila.usm.edu/katrinagulfcoast_photos/1080/thumbnail.jp
The Hidden Hand: Middle East Fears of Conspiracy
https://aquila.usm.edu/katrinagulfcoast_photos/1102/thumbnail.jp
Revealing Schemes: The Politics of Conspiracy in Russia and the Post-Soviet Reign
https://aquila.usm.edu/katrinagulfcoast_photos/1105/thumbnail.jp
The Psychology of Misinformation
https://aquila.usm.edu/katrinagulfcoast_photos/1109/thumbnail.jp