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Graph Representation Learning: Foundations, Methods, applications and Systems 21

Graph Representation Learning: Foundations, Methods, Applica...

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27th acm SIGKDD International conference on Knowledge Discovery and data Mining (KDD)

作者： Jin, Wei Ma, Yao Wang, Yiqi Liu, Xiaorui Tang, Jiliang Cen, Yukuo Qiu, Jiezhong Tang, Jie Shi, Chuan Ye, Yanfang Zhang, Jiawei Yu, Philip S. Michigan State Univ Comp Sci & Engn E Lansing MI 48824 USA Michigan State Univ Comp Sci & Engn Dept E Lansing MI 48824 USA Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China Case Western Reserve Univ Cleveland OH 44106 USA Case Western Reserve Univ Dept Comp & Data Sci Cleveland OH 44106 USA Florida State Univ Tallahassee FL 32306 USA Florida State Univ Comp Sci Tallahassee FL 32306 USA Univ Illinois Chicago IL USA Univ Illinois Comp Sci Chicago IL USA

ISBN: (纸本)9781450383325

Graphs such as social networks and molecular graphs are ubiquitous data structures in the real world. Due to their prevalence, it is of great research importance to extract meaningful patterns from graph structured data so that downstream tasks can be facilitated. Instead of designing hand-engineered features, graph representation learning has emerged to learn representations that can encode the abundant information about the graph. It has achieved tremendous success in various tasks such as node classification, link prediction, and graph classification and has attracted increasing attention in recent years. In this tutorial, we systematically review the foundations, techniques, applications and advances in graph representation learning. We first introduce the foundations on graph theory and graph Fourier analysis. We then cover the key achievements of graph representation learning in recent years. Concretely, we discuss the six topics: 1) network embedding theories and systems;2) foundations of graph neural networks (GNNs);3) CogDL toolkit for GNNs;4) scalable GNNs;5) self-supervised learning in GNNs and 6) heterogeneous graphs and heterogeneous GNNs. Finally, we will introduce the applications of graph representation learning with a focus on recommender systems.

关键词： heterogeneous graphs graph neural networks graph representation learning

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Design and application of English Oral Online Dialogue System Based on Reinforcement Learning Algorithm

Design and Application of English Oral Online Dialogue Syste...

引用

5th International conference on Machine Learning and Big data Analytics for IoT security and privacy, SPIoT 2024

作者： Chen, Ting Jiangxi Vocational College of Foreign Studies Jiangxi Nanchang330099 China

In view of the lack of personalization and interactivity in current oral English learning, a dialogue system based on reinforcement learning is introduced, aiming to improve users' oral expression ability by dynamically adjusting the learning path and feedback mechanism. the system adopts a deep Q-learning algorithm, optimizes the voice interaction effect through a reward mechanism, and realizes real-time adaptive adjustment of the dialogue. First, a dialogue framework based on reinforcement learning is designed, in which the user's voice input is converted into text and used as the input of the system. then, the system uses a deep Q-learning algorithm to conduct feedback learning based on the user's voice performance and grammatical errors, and adjusts the dialogue strategy and vocabulary recommendation in real time to improve the interactivity and accuracy of learning. Finally, the system trains multiple rounds of dialogues in a simulated environment to continuously optimize the speech recognition and dialogue response strategies. the whole process uses a reward mechanism to adjust the system behavior based on the actual performance of the user to ensure gradual improvement in the learning process. Learners with a medium foundation (intermediate) have a slight improvement in satisfaction scores, reaching 4.3 points, and their oral test improvement is +15 points. Learners with a high foundation (advanced) have a satisfaction score of 4.5 points in the use of the system, and their oral test improvement is +18 points, thanks to the detailed and accurate feedback provided by the system. By introducing a reinforcement learning algorithm, the designed English oral online dialogue system can adjust learning strategies in real time according to user feedback and improve learning effects. Future research will further optimize the reward mechanism and enhance the system's adaptive ability and intelligent recommendation function to better serve the needs of different learner

关键词： Reinforcement learning

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Survey on measures of image similarity applied in image inpainting base on deep learning 22

Survey on measures of image similarity applied in image inpa...

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proceedings of the 2022 5th International conference on Algorithms, Computing and Artificial Intelligence

作者： Libo He Zhenping Qiang Yunyun Wu Meijiao Wang Information Security College Yunnan Police College China College of Big Data and Intelligent Engineering Southwest Forestry University China

ISBN: (纸本)9781450398336

the research of image similarity measures is an important content of the computer image processing. It have been widely studied and applied in image inpainting, image super resolution, image matching and other applications. In these application, the choice of image similarity measure has a direct impact on the final results. In order to enable more researchers to explore the image similarity theory and its specific role in different applications, this paper summarizes the research status in this field. this paper first classifies the existing image similarity evaluation methods from two different perspectives. Next, since the performance of image similarity measure is closely related to its application field, so we select the image inpainting field based on depth learning, and illustrate the application of image similarity measurement methods in this field. then we roughly compare the advantage and disadvantage of these methods. Finally, we gave our conclusions and prospects.

关键词： distance and similarity of vectors

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Blockchain-Based Crowdfunding application 5

Blockchain-Based Crowdfunding Application

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5th International conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC)

作者： Patil, Viren Gupta, Vasvi Sarode, Rohini Coll Engn Comp Engn Pune Maharashtra India Coll Engn Comp Dept Pune Maharashtra India

ISBN: (纸本)9781665426428

People's data is valuable and sensitive, and blockchain can significantly change how it is seen. All transactions are time- and date-stamped and are logged irreversibly. Smart contracts can even automate transactions, boosting your productivity and speeding up the process even further. After pre-specified conditions are met, the transaction or process moves on to the next stage. Smart contracts eliminate the needfor human intervention and the reliance on third parties to verify that contract requirements have been satisfied. the issue of transparency and security is very paramount in any organization, especially in organizations providing crowdfunding platforms, therefore the intention to provide a reliable, secured, transparent and decentralized solution is achieved by developing a blockchain-based crowdfunding web application. this crowdfunding application is not just like any other application which just allows people to invest their money, but this platform also gives an assurance to the backers that returns will be guaranteed. the application will also provide transparency between the backers and the start-ups so that the backers can stay updated on the progress of the project work of the respective start-ups that they invested their money in. Money will be refunded to the backers in case the project is aborted in between. this will be a multi-user application with three different types of users: Admin, Backers, and Start-up. Admin can approve start-ups for listing. Start-ups can view the status of approval of their projects and funds raised in real-time. Backers can view the progress of the projects that they are funding as well as the general information about other projects listed on the application.

关键词： Blockchain Crowdfunding Smart Contract Ethereum

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TrustAV: Practical and privacy-Preserving Malware Analysis in the Cloud 20

TrustAV: Practical and Privacy-Preserving Malware Analysis i...

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10th acm conference on data and application security and privacy (CODASPY)

作者： Deyannis, Dimitris Papadogiannaki, Eva Kalivianakis, Giorgos Vasiliadis, Giorgos Ioannidis, Sotiris FORTH ICS Iraklion Greece Univ Crete Dept Comp Sci Rethimnon Crete Greece

ISBN: (纸本)9781450371070

While the number of connected devices is constantly growing, we observe an increased incident rate of cyber attacks that target user data. Typically, personal devices contain the most sensitive information regarding their users, so there is no doubt that they can be a very valuable target for adversaries. Typical defense solution to safeguard user devices and data, are based in malware analysis mechanisms. To amortize the processing and maintenance overheads, the outsourcing of network inspection mechanisms to the cloud has become very popular recently. However, the majority of such cloud-based applications usually offers limited privacy preserving guarantees for data processing in third-party environments. In this work, we propose TrustAV, a practical cloud-based malware detection solution destined for a plethora of device types. TrustAV is able to offload the processing of malware analysis to a remote server, where it is executed entirely inside, hardware supported, secure enclaves. By doing so, TrustAV is capable to shield the transfer and processing of user data even in untrusted environments with tolerable performance overheads, ensuring that private user data are never exposed to malicious entities or honestbut-curious providers. TrustAV also utilizes various techniques in order to overcome performance overheads, introduced by the Intel SGX technology, and reduce the required enclave memory -a limiting factor for malware analysis executed in secure enclave environments- offering up to 3x better performance.

关键词： Intel SGX trusted execution environment antivirus data processing mobile privacy

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A Comparative Study of Access Control Models for Ubiquitous Computing Systems 23

A Comparative Study of Access Control Models for Ubiquitous ...

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proceedings of the 5th International conference on Information Management & Machine Intelligence

作者： Sayali Renuse Parikshit N. Mahalle Gitanjali Rahul Shinde Nilesh P. Sable Department of Computer Engineering Vishwakarma Institute of Information Technology India Department of Artificial intelligence and Data science Vishwakarma Institute Of Information Technology India Computer Science Engineering Vishwakarma Institute of Information Technology India Information Technology Vishwakarma Institute of Information Technology India

ISBN: (纸本)9798400709418

the Internet of things (IoT) and Machine-to-Machine (M2M) communication have connected devices, enabling major advances in various fields. the priority now is secure and efficient management of these interconnected systems. IoT ecosystems need access control to manage interactions. Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC), Policy-Based Access Control (PBAC), and Context-Based Access Control (CBAC) are examined in the context of Industrial IoT (IIoT) in this paper. Intelligent manufacturing and anticipatory maintenance are among the many opportunities created by IoT and IIoT rapid growth. However, these advances present new security and access control challenges. Access control is essential for managing user, device, and application authorization in complex, interconnected environments. Our goal is to analyze their suitability, pros, and cons in industrial settings where strict access control is needed to ensure system safety, confidentiality, and efficiency. the IIoT case study implementation of these access control mechanisms is the focus of this paper. We examine an IIoT scenario in which a manufacturing plant has a network of machinery, sensors, and control systems. the case study shows how RBAC, ABAC, PBAC, and CBAC apply pragmatically. We evaluate their ability to manage access to critical machinery, data, and devices. We analyze and compare these access control mechanisms within the IIoT framework to determine the best one for the industrial environment, taking into account scalability, security, real-time decision making, and industrial process complexity. this paper examines access control mechanisms and practical observations from a real-world IIoT case study to improve IIoT security discussions. the findings can help IIoT practitioners, researchers, and decision-makers choose access control solutions. Industrial operations can become safer and more efficient.

关键词： Access Control

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POSTER: Blockchain-Based Differential privacy Cost Management System 20

POSTER: Blockchain-Based Differential Privacy Cost Managemen...

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15th acm Asia conference on Computer and Communications security, ASIA CCS 2020

作者： Han, Leong Mei Zhao, Yang Zhao, Jun Nanyang Technological University Singapore Singapore

ISBN: (纸本)9781450367509

privacy preservation is a big concern for various sectors. To protect individual user data, one emerging technology is differential privacy. However, it still has limitations for datasets with frequent queries, such as the fast accumulation of privacy cost. To tackle this limitation, this paper explores the integration of a secured decentralised ledger, blockchain. Blockchain will be able to keep track of all noisy responses generated with differential privacy algorithm and allow for certain queries to reuse old responses. In this paper, a demo of a proposed blockchain-based privacy management system is designed as an interactive decentralised web application (DApp). the demo created illustrates that leveraging on blockchain will allow the total privacy cost accumulated to decrease significantly. © 2020 Owner/Author.

关键词： Blockchain

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A PUF-based Mutual Authentication Protocol for Internet of things

A PUF-based Mutual Authentication Protocol for Internet of T...

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5th International conference on Computing, Communication and security (ICCCS)

作者： Satamraju, Krishna Prasad Malarkodi, B. Natl Inst Technol Dept ECE Tiruchirappalli Tamil Nadu India

ISBN: (纸本)9781728191805

Internet of things (IoT) has revolutionized the world with its innovative and precise solutions catering a broad spectrum of applications. Smart cities, smart financial services, smart logistics, smart agriculture systems, smart healthcare management system are few applications worth mentioning. Device authentication and data security is a major concern in IoT networks as the devices used in these networks have inadequate computational processing and memory storage resources. privacy is of paramount importance in applications such as healthcare and finance. As complex algorithms cannot be implemented on the resource-constrained loT devices, research in the aforementioned areas is still an active subject. In this paper, we propose a mutual device and server authentication protocol using Physical Unclonable Functions (PUFs) for IoT devices. PUFs can be used to uniquely identify the devices and can also be used to generate random keys. As the name suggests, the keys generated by the PUFs cannot be reproduced. Using this unclonability feature, an authentication protocol has been developed. An IoT based temperature and humidity sensing module is developed to integrate the protocol and validate its effectiveness in providing the device authentication and data security.

关键词： authentication internet of things physical unclonable functions security trust-worthy

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data security of SaaS Platform based on Blockchain and Decentralized Technology 5

Data Security of SaaS Platform based on Blockchain and Decen...

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5th International conference on Inventive Computation Technologies (ICICT)

作者： Wang, Weiwei Harbin Finance Univ Harbin 150030 Heilongjiang Peoples R China

ISBN: (数字)9781728146850

ISBN: (纸本)9781728146850

data security in the SaaS platform based on the Blockchain and decentralized technology is well analyzed in this paper. the unified SaaS service platform based on cloud computing needs to realize functions of application virtualization, automatic deployment and delivery, data format standardization, information sharing and effective user and genera;operation management to support core SaaS services. the unified service support platform is essentially a cloud computing platform. this paper proposes two aspects of innovations. First, the unified SaaS service platform based on cloud computing needs to realize the functions of application virtualization, automatic deployment and delivery, data format standardization, information sharing and effective user and the operation management to support SaaS services. the unified service support platform is essentially a cloud computing platform. Second, In order to better adapt to the block chain system, our systems use P2P network for data dissemination. the results are satisfactory.

关键词： data security SaaS Platform Blockchain Decentralized Technology data Mining

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Overview of Enterprise IoT security System based on Edge Computing 5

Overview of Enterprise IoT Security System based on Edge Com...

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5th International conference on Internet of things, Big data and security (IoTBDS)

作者： Lan, Liyun Bai, Jiujun Chen, Xuebo Univ Sci & Technol Liaoning Sch Elect & Informat Engn Qianshan Rd Anshan 114051 Liaoning Peoples R China

ISBN: (纸本)9789897584268

the topic of security runs through the development of human society, and it exists in all aspects of our lives and work. In order to better ensure the safety of the employees in enterprises, the enterprise IoT security system should be established. With the development of technology, the application of IoT in enterprise security has made some progress. Since more and more devices are connected to the Internet and generate big data, cloud computing is no longer sufficient to process and analyse IoT devices in real time. Especially the data is generated by different digital platforms involving enterprise production, management and safety. therefore, edge computing can be taken into account. this paper briefly introduces the development status of Internet of things technology and edge computing technology comparing with cloud computing. It should be helpful for us that edge computing is proposed to apply to enterprise IoT security system.

关键词： Internet of things Edge Computing Enterprise security System

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