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检索条件"机构=Computer Science and Software Engineering Department Samuel Ginn College of Engineering"

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DECAY: Dynamic Evaluation and Component Analysis for Enhancing Trust Management

DECAY: Dynamic Evaluation and Component Analysis for Enhanci...

引用

2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Huber, Brennan Kandah, Farah Auburn University Samuel Ginn College of Engineering Computer Science and Software Engineering United States

ISBN: (纸本)9798350324136

The Internet of Things (IoT) has gained widespread use across various domains, necessitating robust trust management for safeguarding data integrity and device reliability. Existing trust management algorithms often overlook the impact of a device's lifespan on trust adjustments. To address this shortcoming, we propose an innovative trust management strategy that introduces an 'engagement-level' component as a key feature. This component considers a device's past performance, granting established devices milder trust penalties than new ones and facilitating faster trust restoration for devices with low trust levels. Our approach also introduces a trust decay mechanism to handle inactive devices and cease contributing to the system, resulting in decreased trust levels. By discouraging passive behavior and encouraging active participation, this mechanism enhances IoT system trustworthiness. Through simulations and evaluations, we have demonstrated that our approach bolsters system security by scrutinizing malicious devices and rewarding active, trustworthy ones. It ensures vigilant threat monitoring, bolstering system security and improving trust assessment in the IoT environment. By integrating the engagement-level component and trust decay mechanism, our approach offers a dynamic trust management system that addresses existing algorithm limitations, enhancing accuracy and adaptability. © 2024 IEEE.

关键词： Internet of Things (IoT) Trust decay mechanism Trust management

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Zero Trust+: A Trusted-based Zero Trust architecture for IoT at Scale

Zero Trust+: A Trusted-based Zero Trust architecture for IoT...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Huber, Brennan Kandah, Farah Auburn University Computer Science and Software Engineering Samuel Ginn College of Engineering United States

ISBN: (纸本)9798350324136

The Zero Trust security architecture has been widely recognized for its efficacy in strengthening cybersecurity by rejecting the concept of implicit trust and adopting strict identity verification measures. However, as organizations face escalating demands for rapid and scalable access control, the performance limitations of traditional Zero Trust implementations have become a concern. In response to this challenge, we introduce a novel trust management-based solution that significantly improves performance without compromising security integrity. Through a streamlined trust provisioning approach, our solution offers a 20% enhancement in processing efficiency, making it highly suitable for dynamic and large-scale environments. This research paper presents the design, implementation, and evaluation of our trust management-based solution, showcasing its superiority over conventional Zero Trust architectures in addressing performance concerns while delivering the same robust access control capabilities. © 2024 IEEE.

关键词： Internet of Things Security Trust Management Zero Trust Architecture

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Zero Trust+: A Trusted-based Zero Trust architecture for IoT at Scale

Zero Trust+: A Trusted-based Zero Trust architecture for IoT...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Brennan Huber Farah Kandah Computer Science and Software Engineering Samuel Ginn College of Engineering Auburn University

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DECAY: Dynamic Evaluation and Component Analysis for Enhancing Trust Management

DECAY: Dynamic Evaluation and Component Analysis for Enhanci...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Brennan Huber Farah Kandah Computer Science and Software Engineering Samuel Ginn College of Engineering Auburn University

The Internet of Things (IoT) has gained widespread use across various domains, necessitating robust trust management for safeguarding data integrity and device reliability. Existing trust management algorithms often overlook the impact of a device’s lifespan on trust adjustments. To address this shortcoming, we propose an innovative trust management strategy that introduces an “engagement-level” component as a key feature. This component considers a device’s past performance, granting established devices milder trust penalties than new ones and facilitating faster trust restoration for devices with low trust levels. Our approach also introduces a trust decay mechanism to handle inactive devices and cease contributing to the system, resulting in decreased trust levels. By discouraging passive behavior and encouraging active participation, this mechanism enhances IoT system trustworthiness. Through simulations and evaluations, we have demonstrated that our approach bolsters system security by scrutinizing malicious devices and rewarding active, trustworthy ones. It ensures vigilant threat monitoring, bolstering system security and improving trust assessment in the IoT environment. By integrating the engagement-level component and trust decay mechanism, our approach offers a dynamic trust management system that addresses existing algorithm limitations, enhancing accuracy and adaptability.

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A study of transistor degradation in cyber-physical system control devices: Work-in-progress 21

A study of transistor degradation in cyber-physical system c...

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2021 International Conference on Hardware/software Codesign and System Synthesis, CODES+ISSS 2021

作者： Millican, Spencer Griffith, SueAnne Auburn University Department of Electrical and Computer Engineering Samuel Ginn College of Engineering AuburnAL United States

ISBN: (纸本)9781450390767

This work presents a plan for investigating transistor aging and degradation in cyber physical systems under attack. The authors discuss the importance of such concerns, particularly with regard to negative bias temperature instability, and an approach to demonstrate the adverse effects of a cyber-attack resulting in premature aging of transistors within a system's digital controllers. © 2021 ACM.

关键词： Cyber Physical System

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PROTECTIVE BODYSUIT TO REPEL HARMFUL LARGE PARTICLE RADIATION FOR LONG-TERM USE 73

PROTECTIVE BODYSUIT TO REPEL HARMFUL LARGE PARTICLE RADIATIO...

引用

73rd International Astronautical Congress, IAC 2022

作者： Alvarado-Rico, Nic Parish, Dija Cumbers, Jenna Mathematics and Engineering Department Long Beach City College 4901 E. Carson Street Long BeachCA United States College of Engineering and Computer Science University of Central Florida 4000 Central Florida OrlandoFL United States Samuel L. Ginn Aerospace Engineering Auburn University 23 Samford Hall AuburnAL United States

Deep space exploration exposes astronauts to high amounts of radiation including solar proton events (SPE) and galactic cosmic radiation (GCR) for which there are limited protective garments for regular use. Astronauts exposed to high amounts of radiation are more susceptible to serious health complications including long-term organ damage and organ failure. Current radiation protection methods fail to address the secondary radiation created when ionizing radiation interacts with shielding materials. This project aims to develop a garment to protect against high energy, high charge radiation (HZE), continued protection against gamma and x-ray radiation, and addresses the concern of the harmful secondary radiation created by the Compton scattering effect and pair production that occurs at these exposure levels. This lightweight bodysuit would provide an everyday, extended-use protective suit that increases protection against harmful particles that have breached spacecraft and habitation protection methods, thus providing an alternative to current Al 2219, Polyethylene, Lead, and Tungsten materials. The design utilizes a woven, multi-layered blend of a tungsten coated basalt fabric, a bismuth oxide fabric, and a novel yarn of barium titanate and bismuth oxide created by the Lyocell process to establish a composite matrix base layer. This fabric base comprises the jumpsuit garment itself and attaches the supplementary plate shielding using mounting pockets above vital protection sites, therefore acting as the first and last line of defense from an incoming particle stream. In addition to this base is a replaceable, scale-like plate within the mounting pockets, that was created by using an 8-layer composite sandwiching technique. This special manufacturing technique utilizes a mix of high and low density materials, followed by materials with ascending Z values. This plating will sit above vital organs and blood-producing bone marrow sites. All of the chosen materials ar

关键词： Gamma rays

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Electrocoagulation-based AZO DYE (P4R) Removal Rate Prediction Model using Deep Learning

Electrocoagulation-based AZO DYE (P4R) Removal Rate Predicti...

引用

2023 International Symposium on Green Technologies and Applications, ISGTA 2023

作者： Akoulih, Meryem Tigani, Smail Byoud, Fouzia Rharib, Meryem El Saadane, Rachid Pierre, samuel Chehri, Abdellah Ghachtouli, Sanae El IME Lab Faculty of Science Hassan 2 University Casablanca20250 Morocco Research and Development Unit Accsellium LLC Fez Morocco Electrical Engineering Department SIRC-LaGeS Hassania School of Public Labors Casablanca20250 Morocco Department of Computer and Software Engineering Polytechnique Montréal MontréalQC Canada Department of Mathematics and Computer Science Royal Military College of Canada KingstonON11 K7K 7B4 Canada

This article presents a study on the effectiveness of electrocoagulation (EC) for the removal of azo dyes from wastewater. The analysis was performed using a combination of statistical methods, including density estimation, correlation analysis, and deep learning for electrocoagulation performance prediction. The results showed that electrocoagulation was able to effectively remove azo dyes from the wastewater, considering the energy consumption and the mass of flocs being important factors in the process. Deep Learning (DL) is used to build our predictive model using the datasets collected during the experimentation stage. Overall, the findings suggest that electrocoagulation is a promising technique for the treatment of wastewater containing azo dyes, and that the use of statistical and machine learning methods can aid in the optimization of the process. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Azo dyes

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A Tabletop Game to Study Business Wargaming in the P-LEO SATCOM Marketplace

A Tabletop Game to Study Business Wargaming in the P-LEO SAT...

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IEEE Symposium on Computational Intelligence and Games, CIG

作者： Rehman Qureshi Robert Gleason Akhil Rao samuel Mulder Daniel R. Tauritz Davide Guzzetti Department of Aerospace Engineering Auburn University Auburn USA Department of Economics Middlebury College Middlebury USA Department of Computer Science and Software Engineering Auburn University Auburn USA

ISBN: (数字)9798350350678

ISBN: (纸本)9798350350685

Given recent large investments in space-based businesses, proliferated low Earth orbit (P-LEO) satellite constellations offering broadband internet services have become an active area of research and development. The landscape of satellite communications (SATCOM) has radically changed: unknown dynamics now enter the marketplace and interactions between constellation operators are undetermined. Although there has been extensive work comparing the performance of individual P-LEO constellations and their broad economic impacts, the temporal effects and competitive dynamics of this nascent marketplace have not been modeled. To address this need, we have created a tabletop board game that simulates both the system design of P-LEO constellations and the economic dynamics between constellation operators (players within the board game). By representing market events as game mechanics and incrementally developing the game complexity, we purged the majority of trivial game strategies and edge cases while simultaneously improving playability and engagement. This process has led to the development of a robust, multi-player game that can be used to examine and test high-level P-LEO constellation development strategies while reducing the time required for intensive software development and play-testing.

关键词： Economics Satellite constellations Satellites Web and internet services Stochastic processes Games System analysis and design

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Probabilistic Graph Modeling based Safety Classifier Algorithm for Smart Transportation

Probabilistic Graph Modeling based Safety Classifier Algorit...

引用

2023 International Symposium on Green Technologies and Applications, ISGTA 2023

作者： Karkouri, Najib El Tigani, Smail Saadane, Rachid Chehri, Abdelah Pierre, samuel Neya, Noureddine Mathematics and Informatics Lab Faculty of Sciences University Ibno Toufial Kenitra Morocco Research and Development Unit Accsellium LLC Fez Morocco SIRC-LaGeS Hassania School of Public Labors Casablanca20250 Morocco Department of Mathematics and Computer Science Royal Military College of Canada Kingston Canada Department of Computer and Software Engineering Polytechnique Montreal Canada

This research introduces a novel Probabilistic Graph Modeling-based Safety Classifier Algorithm designed for the purpose of classifying road safety in smart transportation systems. Leveraging a combination of numerical integration methods and Gaussian kernel density estimation models, the proposed algorithm offers an effective approach to assess and categorizing the safety levels of roads. The integration of these techniques enables a comprehensive analysis, allowing for a more nuanced understanding of the complex interactions within transportation networks. The algorithm's efficacy in road safety classification holds promising implications for enhancing traffic management and promoting safer urban environments. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Accident prevention

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Chances and Challenges of ChatGPT and Similar Models for Education in M&S

Chances and Challenges of ChatGPT and Similar Models for Edu...

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2023 Winter Simulation Conference, WSC 2023

作者： Tolk, Andreas Barry, Philip Loper, Margaret L. Rabadi, Ghaith Scherer, William T. Yilmaz, Levent The Mitre Corporation Modeling and Analysis Innovation Center 1001 Research Park Blvd #200 CharlottesvilleVA22911 United States L3Harris Corporation Mission Analysis Group 2235 Monroe Street HerndonVA20171 United States Georgia Tech Research Institute Georgia Institute of Technology AtlantaGA30308 United States University of Central Florida School of Modeling Simulation and Training 3100 Technology Pkwy OrlandoFL32826 United States University of Virgina Department of Systems and Information Engineering CharlottesvilleVA22904 United States Auburn University Samuel Ginn College of Engineering Computer Science and Software Engineering AuburnAL36849 United States

ISBN: (纸本)9798350369663

This position paper summarizes the inputs of a group of experts from academia and industry presenting their view on chances and challenges of using ChatGPT within Modeling and Simulation education. The experts also address the need to evaluate continuous education as well as education of faculty members to address scholastic challenges and opportunities while meeting the expectation of industry. Generally, the use of ChatGPT is encouraged, but it needs to be embedded into an updated curriculum with more emphasis on validity constraints, systems thinking, and ethics. © 2023 IEEE.

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