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A Systematic Literature Review of Security and Privacy Solutions for the Metaverse

A Systematic Literature Review of Security and Privacy Solut...

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international conference on Social Networks Analysis, Management and Security (SNAMS)

作者： Suha AlQaruty Reema Al Qaruty Samer Abdel Hadi Khawlah M. Al-Tkhayneh Brighton College Al Ain Al Ain UAE Shariah College University of Jordan Jordan College of Education Humanities and Social Sciences Al Ain University Abu Dhabi UAE

ISBN: (数字)9798331518349

ISBN: (纸本)9798331518356

the metaverse is a virtual simulation of the physical world, utilizing advanced technologies like big data, AI, 5G, cloud computing, blockchain, digital twins, and virtual engines. Integrating these into a cohesive application introduces significant privacy and security challenges. this paper systematically reviews privacy and security solutions in metaverse technologies, focusing on identity, data, networks, and transaction issues. Identified solutions include blockchain, digital twins, and hash-based data, network, and transaction protection mechanisms. Despite progress, current solutions may not fully address the evolving privacy and security risks posed by expanding metaverse applications, suggesting a need for continued research.

关键词： Privacy Metaverse Social networking (online) Focusing Digital twins Blockchains Security Protection Engines Systematic literature review

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Cloud-Edge Collaboration Based Power IoT Scene Perception Mechanism 11th

Cloud-Edge Collaboration Based Power IoT Scene Perception Me...

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11th European-Alliance-for-Innovation (EAI) international conference on Game theory for Networks (GameNets)

作者： Shao, Sujie Shao, Congzhang Zhong, Cheng Guo, Shaoyong Lu, Pengcheng Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China State Grid Hebei Elect Power Co Ltd Xiongan New Area Power Supply Co Xiongan 071600 Hebei Peoples R China

ISBN: (纸本)9783031231407;9783031231414

Fast and high-quality scene perception is an important guarantee for the efficient, stable and reliable operation of the power Internet of things, which can assist the decision-making of upper-level applications. the transmission delay of scene perception based on cloud computing is high, so it is difficult to meet the needs of real-time decision-making the mode based on edge computing is not competent for all real-time perception tasks due to the limited computing resources. For this reason, this paper proposes a scene awareness mechanism of the power Internet of things based on cloud-edge collaboration. A scene information awareness architecture based on cloud-edge collaboration is constructed, and a scene information processing flow that distinguishes dynamic instances, static instances and general instances is designed to support local scene information edge awareness and global scene cloud synthesis. Focusing on the construction of highprecision neural network recognition model of high-frequency dynamic examples, using the idea of transfer learning, a neural network model training framework based on cloud-edge collaboration is designed. Simulation results show that the scene perception mechanism proposed in this paper can effectively reduce the perception processing delay and model training time on the basis of accurately perceiving the scene, and improve the adaptability of the perception model to high dynamic scenes.

关键词： Cloud-edge collaboration Power IoT Scene perception Transfer learning Edge intelligence

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Line Graph is the Key: An Exploration of Line Graph on Link Prediction with Social Networks

Line Graph is the Key: An Exploration of Line Graph on Link ...

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international conference on Behavior, Economic and Social computing (BESC)

作者： Chen Xing Masoud Makrehchi Dept. of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

Network data plays a crucial role in various real-world applications, as connections between entities can be represented and analyzed through graphs. these include various types, such as social, information, and technical networks. However, the complex topologies of these networks present challenges in converting graph data into machine-readable vector formats. Existing models, such as Graph Neural Networks, Graph Attention Networks, and node2vec, have made strides in graph embeddings. For edge-related tasks, models such as node2vec typically use indirect methods like concatenating node vectors to represent edges. this approach is useful for tasks like link prediction. In this paper, we present LineDi2vec, a novel approach that improves the Node2vec embedding method by utilizing a line graph. the proposed LineDi2vec not only generalizes the original graphs, transforming the relationships between edges and nodes but also maintains the original graphs' topological integrity for effective node embedding by Node2vec. We evaluated LineDi2vec on four real-world datasets, focusing on link prediction. the results demonstrate that LineDi2vec outperforms traditional node concatenation methods.

关键词： Analytical models Social computing Social networking (online) Network topology Navigation Network analyzers Predictive models Vectors Robustness Topology

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Sentiment Analysis for Detection of Depressive Users on Social Networks

Sentiment Analysis for Detection of Depressive Users on Soci...

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international conference on Behavior, Economic and Social computing (BESC)

作者： Christopher Wigell Xiaohui Tao Lin Li Grace Y Wang Ji Zhang Yuan Sun School of Mathematics Physics and Computing University of Southern Queensland Australia School of Computer Science and Artificial Intelligence Wuhan University of Technology China School of Psychology and Wellbeing University of Southern Queensland Australia Information and Society Research Division NII Library Japan

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

Depression affects approximately 121 million people worldwide and has as significant an influence on patients as it does their carers. Until recently, psychologists used paper based psychological batteries for screening. New developments in Natural Language Processing however have enabled real-time analysis, offering increases in scalability and accessibility. We built on current knowledge by developing and training several Centralised Neural Network models around a pre-labelled Reddit dataset, comparing post-length and the number of words used per post, selecting the model with the highest F1 score. Our results indicated that although some models performed better than others, neither of our metrics significantly influenced model performance, with changes explained by another factor. Our research was able to yield support for it's use within online forums at a very low cost; justifying further exploration into the use of AI tools for the screening of depression and other mood disorders. Due to a lack of publicly available natural language processing models, our study also resulted in the release of a model for further research by others.

关键词： Measurement Knowledge engineering Training Technological innovation Social networking (online) Computational modeling Neural networks Collaboration Mental health Depression

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Towards business continuity with Edge-Cloud continuum

Towards business continuity with Edge-Cloud continuum

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international conference on Future Internet of things and Cloud (FiCloud)

作者： Carmine Colarusso Ida Falco Eugenio Zimeo Dept. of Engineering University of Sannio Benevento Italy

ISBN: (数字)9798331527198

ISBN: (纸本)9798331527204

With the large volume of data produced by IoT applications, a pure Cloud model could not satisfy application requirements. Edge-Cloud continuum is a viable solution since it enables data processing closer to the source, leveraging the Cloud for global and large-size computations. this paper presents an Edge-Cloud continuum framework for adapting Cloud-based IoT applications to reduce latency and ensure business continuity even in case of network interruptions. the framework is built to be highly configurable to ensure a seamless transition to Edge-Cloud, guaranteeing minimal *** approach has been evaluated using an IoT application that simulates an intensive tracking activity from multiple retail shops geographically distributed. the experimental results show the framework’s effectiveness in ensuring business continuity and lower response times even in case of network failure.

关键词： Cloud computing Solid modeling Adaptation models Computational modeling Data processing Data models Internet of things Business continuity Time factors

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distributed Connected Dominating Set Based Algorithm for Mobile Ad-Hoc Networks

Distributed Connected Dominating Set Based Algorithm for Mob...

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international Conf on Electrical and Electronic Engineering (ICEEE)

作者： Aziz Can Yılmaz Çağatay Berke Erdaş Department of Computer Engineering Faculty of Engineering Başkent University Ankara Turkey

ISBN: (数字)9798350362541

ISBN: (纸本)9798350362558

Ad-hoc networks are a communication protocol used in various sectors, particularly in military technologies. Unlike traditional network structures, Ad-hoc networks operate on the principle of peer-to-peer communication. Since the nodes within the network are not connected to a cellular infrastructure, distributed algorithms are required for the communication of nodes. However, it is important to carefully design these distributed algorithms based on essential criteria due to the challenges associated with ad-hoc networks. these criterias are considered to be particularly important when dealing with dynamically variable networks, such as a mobile ad-hoc networks. Mobile ad-hoc networks face significant challenges related to scaling, energy consumption, and stability. To address these challenges, various clustering algorithms employed, each with its own benefits and costs. In this study, a connected dominating set algorithm is proposed for mobile ad hoc networks, which can provide workload balance and protect the backbone structure relatively against mobility and can be an alternative solution to the congestion occurring on a single backbone by creating multiple backbone structures.

关键词： Energy consumption Costs Heuristic algorithms Stability criteria Clustering algorithms Routing Ad hoc networks Peer-to-peer computing distributed algorithms Periodic structures

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the Impact of Social Engineering Attacks on the Metaverse Platform

The Impact of Social Engineering Attacks on the Metaverse Pl...

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international conference on Future Internet of things and Cloud (FiCloud)

作者： Alameen Jafar Abel Yeboah-Ofori Toluwaloju Abisogun Ian Hilton Oluwole Oguntoyinbo Oyelakin Oyetunji School of Computing and Eng University of West London United Kingdom

ISBN: (数字)9798331527198

ISBN: (纸本)9798331527204

the Metaverse environment is the fastest-growing area of interest for augmented and virtual reality space to converge and provide interactive learning and social cohesion. However, existing vulnerabilities in the metaverse environment are susceptible to various forms of social engineering exploits, manipulations, and authentication attacks, leading to psychological and emotional impacts on victims. thus, the effect of social engineering attacks in the metaverse can have serious implications on social media users' well-being and the digital ecosystem. the paper aims to explore the impact of social engineering attacks on the Metaverse platform to detect vulnerabilities and evaluate their psychological implications for users. the contribution of the paper is threefold. First, the existing metaverse platform is explored to identify the vulnerable spots and understand the attack methods and their impact on victims. Secondly, a social engineering attack is implemented to exploit the vulnerabilities using Kali Linux tools in a virtual environment to identify the human vulnerabilities and flaws on the platform that allow the compromise in security. Finally, control mechanisms were recommended to improve security in the Metaverse platform. the results indicate that the Metaverse device can be secure when accurate control mechanisms are in place to improve device and user accessibility security.

关键词： Fault diagnosis Cloud computing Metaverse Social networking (online) Linux Ecosystems Psychology Authentication Security Internet of things

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Policy Perception During Global Health Emergencies: Text Analysis Based on Weibo Data

Policy Perception During Global Health Emergencies: Text Ana...

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international conference on Behavior, Economic and Social computing (BESC)

作者： Zeyu Li Ying Liu Muran Yu Sijia Zhao School of Economics and Management University of Chinese Academy of Science Beijing China Center for Sustainable Development and Global Competitiveness Stanford University Stanford CA USA China Construction Second Engineering Bureau Co. Ltd Beijing China

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

the rise of social media platforms has provided a new channel for interaction between the government and the public. By analyzing public reactions on social media through natural language processing technology, scientific evidence can be provided for the formulation of government policies. this paper is based on 126,454 text data posted on Sina Weibo by mainstream official media from January to December 2020. It measures policy perception from the aspects of extent and direction and explores the differences in the impact of various policy perceptions on the stock market, making policy perception a quantifiable and analyzable data sample. the results show that positive information released by official media has a higher degree of perception, indicating that positive signals about the pandemic are more easily disseminated and accepted by the public. this study aims to provide strategic recommendations for the government in formulating policies, stabilizing public emotions, and promoting the stable development of the financial market in response to major public health events.

关键词： COVID-19 Analytical models Text analysis Pandemics Social networking (online) Blogs Media Vaccines Public healthcare Stock markets

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SMDS: Blockchain-Based Sensitive Data Storage for Smart Manufacturing

SMDS: Blockchain-Based Sensitive Data Storage for Smart Manu...

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IEEE international conference on Big Data Security on Cloud (BigDataSecurity), High Performance and Smart computing (HPSC) and Intelligent Data and Security (IDS)

作者： Yao Xiao Zikang Chen Lei Xu Keke Gai Liehuang Zhu School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China Hangzhou Ant Love Technology Co. Ltd Hangzhou China

ISBN: (数字)9798331595104

ISBN: (纸本)9798331595111

With the arrival of the digital age and the wide adoption of Internet technologies, the manufacturing industry is gradually entering the era of smart manufacturing. It is of great significance to adopt efficient digital solutions for data management. Organizations tend to choose distributed third-party cloud platforms to store and share data to reduce the costs of building their data platforms. Although distributed cloud storage solutions can solve various problems associated with centralized storage solutions, the collaboration between multiple nodes requires mutual trust. Blockchain technology can help to build trust among different parties. However, the existing consortium blockchain platform does not meet the needs of data privacy and large-scale data storage in smart manufacturing. therefore, we propose a storage scheme based on the consortium blockchain platform Hyperledger Fabric and the InterPlanetary File System (IPFS). By improving the ledger data structure and designing corresponding smart contract functions, the proposed scheme can store various digital resources on the blockchain platform flexibly and provide fine-grained protection for sensitive data. Several simulation experiments are conducted to analyze the factors affecting the performance. the experiment results show that the space-time overhead of the proposed scheme is acceptable.

关键词： Cloud computing distributed ledger Smart contracts Memory Information sharing Organizations Fabrics Blockchains InterPlanetary File System Smart manufacturing

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Exploring the Intent-Behavior Gap in Social Media Advocacy for Gender Equality and Social Inclusion

Exploring the Intent-Behavior Gap in Social Media Advocacy f...

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international conference on Behavior, Economic and Social computing (BESC)

作者： Rabab Ali Abumalloh Osama Halabi Asmaa Alfadala Raian Ali Department of Computer Science and Engineering Qatar University Doha Qatar College of Public Policy Hamad Bin Khalifa University Doha Qatar College of Science and Engineering Hamad Bin Khalifa University Doha Qatar

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

the concepts of Gender Equality and Social Inclusion (GESI) are crucial for fostering inclusive societies and promoting equal opportunities for all individuals, contributing to social cohesion, economic development, and overall well-being. Social media platforms have offered several benefits for individuals, including information and knowledge sharing, and enhanced connectivity and networking opportunities. On the other hand, social media has enabled several forms of GESI violations, including hate speech, targeted harassment, and discriminatory content. One important solution to face these violations is the challenging behavior of those who violate GESI concepts on social media platforms. While many users may intend to confront and combat such violations, the actual behavior may not always align with these intentions. Accordingly, this study aims to investigate users' challenging intentions and behavior of GESI violations on social media platforms, while focusing on the cultural differences among the UK and Arab. We also investigated the moderating impact of social inclusion on the relationship between intention and behavior regarding challenging violations of GESI. To meet this goal, we deployed a survey among two samples of UK (325) and Arab (312) participants. Our results show that there are intention-behavior disparities in challenging GESI violations on social media platforms for both samples. the results also confirmed the moderating impact of social inclusion on the relationship between intention and behaviors regarding challenging violations of GESI among UK participants and rejected it among Arab participants.

关键词： Surveys Knowledge engineering Social computing Social networking (online) Hate speech Focusing Media Cultural differences Faces Gender issues

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