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Security and Privacy in Metaverse: A Comprehensive Survey

Big Data Mining and Analytics 2023年第2期6卷 234-247页

作者： Yan Huang Yi(Joy)Li Zhipeng Cai Department of Software Engineering and Game Development Kennesaw State UniversityAtlantaCA 30060USA Department of Computer Science Georgia State UniversityAtlantaCA 30303USA

Metaverse describes a new shape of cyberspace and has become a hot-trending word since *** are many explanations about what Meterverse is and attempts to provide a formal standard or definition of ***,these definitions could hardly reach universal *** than providing a formal definition of the Metaverse,we list four must-have characteristics of the Metaverse:socialization,immersive interaction,real world-building,and *** characteristics not only carve the Metaverse into a novel and fantastic digital world,but also make it suffer from all security/privacy risks,such as personal information leakage,eavesdropping,unauthorized access,phishing,data injection,broken authentication,insecure design,and *** paper first introduces the four characteristics,then the current progress and typical applications of the Metaverse are surveyed and categorized into four economic *** on the four characteristics and the findings of the current progress,the security and privacy issues in the Metaverse are *** then identify and discuss more potential critical security and privacy issues that can be caused by combining the four ***,the paper also raises some other concerns regarding society and humanity.

关键词： Metaverse cybersecurity privacy protection cyber infrastructure extended reality

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Accelerating Mutation-Based Fault Localization via Optimized Mutant Execution 13

Accelerating Mutation-Based Fault Localization via Optimized...

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13th International Conference on software Technology and engineering, ICSTE 2023

作者： Li, Xia Juza, Ryan Kennesaw State University The Department of Software Engineering and Game Design and Development Marietta United States

ISBN: (纸本)9798350371475

As modern software systems become more and more complex, bugs (also called faults) are prevalent and inevitable. Automated fault localization focuses on identifying faulty program elements that cause software failures. Mutation-based fault localization (MBFL) is one popular approach and has been proved to be more effective in real bugs. However, MBFL brings a problem of execution cost since it requires the execution of the whole test suite against a huge number of generated mutants. In this paper, we propose FastMBFL, a novel technique to improve the efficiency of MBFL by considering the importance of the impact information originated from failed test while maintaining the similar accuracy. The experimental results show that in terms of the widely used evaluation metric Mutant-Test Pair (MTP), FastMBFL can reduce the mutation cost by 24%-40% compared with the state-of-the-art technique. © 2023 IEEE.

关键词： Program debugging

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Navigating the Digital Twin Network landscape:A survey on architecture,applications,privacy and security

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High-Confidence Computing 2024年第4期4卷 129-149页

作者： Akshita Maradapu Vera Venkata Sai Chenyu Wang Zhipeng Cai Yingshu Li Department of Computer and Information Sciences Towson UniversityTowson21252USA Department of Software Engineering and Game Development Kennesaw State UniversityMarietta30060USA Department of Computer Science Georgia State UniversityAtlanta30303USA

In recent years,immense developments have occurred in the field of Artificial Intelligence(AI)and the spread of broadband and ubiquitous connectivity *** has led to the development and commercialization of Digital Twin(DT)*** widespread adoption of DT has resulted in a new network paradigm called Digital Twin Networks(DTNs),which orchestrate through the networks of ubiquitous DTs and their corresponding physical *** create virtual twins of physical objects via DT technology and realize the co-evolution between physical and virtual spaces through data processing,computing,and DT *** high volume of user data and the ubiquitous communication systems in DTNs come with their own set of *** most serious issue here is with respect to user data privacy and security because users of most applications are unaware of the data that they are sharing with these platforms and are naive in understanding the implications of the data ***,currently,there is not enough literature that focuses on privacy and security issues in DTN *** this survey,we first provide a clear idea of the components of DTNs and the common metrics used in literature to assess their ***,we offer a standard network model that applies to most DTN applications to provide a better understanding of DTN’s complex and interleaved communications and the respective *** then shed light on the common applications where DTNs have been adapted heavily and the privacy and security issues arising from the *** also provide different privacy and security countermeasures to address the previously mentioned issues in DTNs and list some state-of-the-art tools to mitigate the ***,we provide some open research issues and problems in the field of DTN privacy and security.

关键词： Digital Twin Networks Network architecture Privacy and security Federated learning Blockchain Internet of Vehicles 6G Supply chain

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Advancing Suicide Prevention Through Immersive Technology 17

Advancing Suicide Prevention Through Immersive Technology

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17th International Conference on Computer Supported Education, CSEDU 2025

作者： Chen, Shenghao Li, Yi Mei, Chao Joiner, Thomas Department of Psychology Florida State University Tallahassee United States Department of Software Engineering and Game Development Kennesaw State University Marietta United States

ISBN: (纸本)9789897587467

This study presents a novel translational method for suicide prevention research, employing customizable virtual reality (VR) simulations that mimic real-life situations. We aim to validate the usability of these VR scenarios as approximations of actual suicide and to rigorously assess their safety. By increasing the variety of simulated suicide methods and variables, this study enables researchers to effectively isolate the causes of suicide and thus provide key insights for suicide prevention. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Virtual reality

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A Study to Evaluate the Impact of LoRA Fine-tuning on the Performance of Non-functional Requirements Classification

arXiv

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arXiv 2025年

作者： Li, Xia Kim, Allen The Department of Software Engineering and Game Design and Development Kennesaw State University Marietta United States

Classifying Non-Functional Requirements (NFRs) in software development life cycle is critical. Inspired by the theory of transfer learning, researchers apply powerful pre-trained models for NFR classification. However, full fine-tuning by updating all parameters of the pre-trained models is often impractical due to the huge number of parameters involved (e.g., 175 billion trainable parameters in GPT-3). In this paper, we apply Low-Rank Adaptation (LoRA) fine-tuning approach into NFR classification based on prompt-based learning to investigate its impact. The experiments show that LoRA can significantly reduce the execution cost (up to 68% reduction) without too much loss of effectiveness in classification (only 2%-3% decrease). The results show that LoRA can be practical in more complicated classification cases with larger dataset and pre-trained models. © 2025, CC BY-NC-ND.

关键词： software design

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Accelerating Mutation-Based Fault Localization via Optimized Mutant Execution

Accelerating Mutation-Based Fault Localization via Optimized...

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International Conference on software Technology and engineering (ICSTE)

作者： Xia Li Ryan Juza The Department of Software Engineering and Game Design and Development Kennesaw State University Marietta USA

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Recognition of Dubious Tissue by Using Supervised Machine Learning Strategy 2nd

Recognition of Dubious Tissue by Using Supervised Machine Le...

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2nd Conference of Innovative Product Design and Intelligent Manufacturing System, IPDIMS 2020

作者： Pradeep Ghantasala, G.S. Nageswara Rao, D. Patan, Rizwan Department of Computer Science and Engineering Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Software Engineering and Game Development Kennesaw State University Mariettea United States

ISBN: (纸本)9789811902956

Bosom malignancy is the primary stage of disease detection. Classifiers are thus constantly wanted with higher accuracy. A highly accurate classifier gives fewer opportunities to misinterpret a malignant growth patient. This paper explores how the concept of strategic recession is portrayed in a modified, enhanced manner. For minimizing cost efficiency, both inclination plunge and propelled streamlining are used. The theory, which is a sigmoid capacity, involves a weighing dimension of β. The weighting variable depends on the number of highlights, dataset size, and the type of simplification method used. Through correctly estimating β, which is part of the quantity and type of enhancement systems used, the accuracy of the bosom disease position is fundamentally improving. By increasing precision, affectability, and specialty, the achieved results are promising. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Artificial neural network Cancer Fine needle aspiration Malignancy detection Support vector machine

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Gamification integration and student motivation: Issues and concerns 25

Gamification integration and student motivation: Issues and ...

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25th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2021

作者： Pournaghshband, Hassan O'Dowd, Sean Department of Software Engineering and Game Development Kennesaw State University Kennesaw 30144 Georgia

ISBN: (纸本)9781713835196

Among major challenges that today's educator faces is how to motivate and engage their students. Problems of different nature regarding students' motivation have been extensively studied by researchers providing guidelines for best practice in motivating and engaging learners in an academic environment. In this paper, we examine gamification motivation issues and discuss how it can be effectively integrated into the classroom environment. We will show how different types of gamification can be applied in a classroom environment to better motivate and engage students in learning material. The main idea behind the gamification approach is that it will allow students to become highly engaged in the topic, leading to better retention and recall of the material through game-like methodology. The promise of gamification is within the common game elements which facilitate the capturing of the learner's imagination as they find the learning experience to be pleasurable throughout their coursework. While we trust that gamification works for both, graduate and undergraduate courses, but the nature of this motivation approach makes it a good choice to be tailored for undergraduate students. © WMSCI *** right reserved.

关键词： Students

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State-based Sandbox Tool for Distributed Malware Detection with Avoid Techniques 13

State-based Sandbox Tool for Distributed Malware Detection w...

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13th International Conference on Dependable Systems, Services and Technologies, DESSERT 2023

作者： Rehida, Pavlo Markowsky, George Sachenko, Anatoliy Savenko, Oleg Khmelnytskyi National University Department of Computer Engineering and Information Systems Khmelnytskyi Ukraine Kennesaw State University Department of Software Engineering and Game Development Marietta United States Kazimierz Pulaski University of Technology and Humanities Department of Informatics Radom Poland Research Institute for Intelligent Computer Systems West Ukrainian National Unversity Ternopil Ukraine

ISBN: (纸本)9798350396119

This paper deals with the problem of detecting the malware by using emulation approach. Modern malware include various avoid techniques, to hide its anomaly actions. Advantages of using sandbox and emulation technologies are described. Various anti-emulation techniques that are used in modern malware considered. Obfuscation as one primary approach to hide malware malicious actions described and discussed. State of emulator is presented, and the advantages of its usage are covered. Distributed model for malware detection is considered. Basic emulator and its current capabilities presented. Prepared files that represent malware are described. Experimental results for developed files that differs with included avoid techniques are presented. Disadvantages of proposed approach is described. Future research and sandbox improvement are described. © 2023 IEEE.

关键词： anti-emulation techniques malware detection obfuscation techniques sandbox

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A Review of Quantum Cybersecurity: Threats, Risks and Opportunities 1

A Review of Quantum Cybersecurity: Threats, Risks and Opport...

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1st International Conference on AI in Cybersecurity, ICAIC 2022

作者： Faruk, Md Jobair Hossain Tahora, Sharaban Tasnim, Masrura Shahriar, Hossain Sakib, Nazmus Kennesaw State University Department of Software Engineering and Game Development United States Kennesaw State University Department of Computer Science United States Kennesaw State University Institute for Cybersecurity Workforce Development United States Kennesaw State University Department of Information Technology United States University at Buffalo The State University of New York Department of Computer Science and Engineering United States

ISBN: (数字)9781665400435

ISBN: (纸本)9781665400435

The promise of quantum computing is not speeding up conventional computing rather delivering an exponential advantage for certain classes of problems, with profound implications for cybersecurity for instance. With the advent and development of quantum computers, cyberspace security can surely become the most critical problem for the Internet in near future. On contrary, prosaic quantum technology can be promising to transform cybersecurity. This research aims to synthesize basic and fundamental studies concerning quantum cybersecurity that can be emerged both as a threat and solution to critical cybersecurity issues based on a systematic study. We provide a comprehensive, illustrative description of the current state-of-the-art quantum computing and cybersecurity and present the proposed approaches to date. Findings in quantum computing cybersecurity suggest that quantum computing can be adopted for the betterment of cybersecurity threats while it poses the most unexpected threats to cybersecurity. The focus and depth of this systematic survey not only provide quantum and cybersecurity practitioners and researchers with a consolidated body of knowledge about current trends in this area but also underpins a starting point for further research in this field. © 2022 IEEE.

关键词： Cybersecurity

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