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application Research of Deep Learning in Financial Time Series Prediction

Application Research of Deep Learning in Financial Time Seri...

引用

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

作者： Zou, Lin The University of Sydney Australia

the market's every twitch has the power to ripple through the entire economic landscape. think of stock indices as the market's temperature gauge, signaling whether it's heating up or cooling down. For the current methods of predicting stock indices using deep learning models, the computational complexity of deep learning models is relatively high. therefore, how to reduce computational costs without compromising prediction performance has become a key and difficult point for future work. this study only conducted predictive research on market data and did not apply the two deep learning models proposed by our institute to time series data in other fields. therefore, applying the deep learning model proposed in this article to time series in other non-financial fields is a key direction for future research. this study not only provides a new perspective for predicting markets, but also lays the foundation for further application of deep learning technology in the financial field. © 2025 the Authors. Published by Elsevier B.V.

关键词： Deep learning

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application of Artificial Intelligence Large Models on Smart Culture and Tourism

Application of Artificial Intelligence Large Models on Smart...

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

作者： Wang, Bing School of Management Guangdong University of Science and Technology Dongguan523000 China

With the rapid development of information technology, artificial intelligence models are gradually becoming a key force driving innovation and change in various industries. In the field of smart tourism, artificial intelligence models have shown great potential for application. this article analyzes the connotation and development status of smart cultural tourism, introduces the advantages and application scenarios of artificial intelligence big models in smart cultural tourism, elaborates on the key links and special factors that need to be considered in building artificial intelligence models, and analyzes the challenges and countermeasures faced by the application of artificial intelligence big models in smart cultural tourism. through in-depth exploration of the application of artificial intelligence models in the field of smart tourism, necessary references are provided for the intelligent upgrading of the tourism industry. © 2025 the Authors. Published by Elsevier B.V.

关键词： Tourism

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security threats and solutions to IoT using Blockchain: A Review 5

Security threats and solutions to IoT using Blockchain: A Re...

引用

5th International conference on Intelligent Computing and Control Systems, ICICCS 2021

作者： Alam, Shireen Rafat Jain, Saurabh Doriya, Rajesh NIT Raipur Information Technology Raipur India

ISBN: (纸本)9781665412728

Internet of things (IoT) is an emerging technology and have a global network of 'things' that can be physical as well as virtual that is connected to the internet. IoT has so many applications as it is used in industry, smart homes, smart health care, smart irrigation and in many more places. Storing huge information that is generated from the sensors are major issues. Devices of IoT are dynamic, resource constraints, having less processing power which creates major security and privacy issues. Major challenges include identification, authentication, scalability, and data security. this paper is mainly focused on major security and privacy issues of IoT at different layers of IoT architecture. To solve these issues, this paper proposes Blockchain as a Solution. the integration of blockchain with IoT can be used to secure the IoT system. Blockchain is a chain of blocks and each block contains a number of transactions, that records event and maintains consistent records of data. It is having the potential to solve the issues faced by IoT. But because of the different nature of IoT and Blockchain it suffers from many limitations as well. this paper pointed out the challenges of the integration of blockchain with IoT along with some open issues are discussed which provides a ground for future research direction. © 2021 IEEE.

关键词： Blockchain

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Function Expansion and application Optimization of Enterprise Resource Planning (ERP) System Based on Cloud Computing

Function Expansion and Application Optimization of Enterpris...

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

作者： Zhang, Zixiao Beijing Jiaotong University Beijing100044 China

In the context of digital transformation today, Enterprise Resource Planning (ERP) system face problems such as single functionality, insufficient flexibility, and poor user experience. this paper aims to enhance the functionality and availability of ERP system through cloud computing based architecture. First, this paper conducts a demand analysis on the current system and identifies key functional shortcomings, including real-time data update and mobile access requirements;secondly, it designs a cloud computing architecture and adopts a microservice architecture model to realize the modularization of the ERP system so that each functional module can be expanded independently;then it implements an optimization strategy, improves the user interface design to enhance the user experience, and adopts a responsive layout to support multi-terminal access;at the same time, it integrates big data analysis tools to realize real-time processing and visualization of data. through practical application in a large manufacturing enterprise, the optimized average response time was 76.5ms. the expansion and application optimization of ERP functions based on cloud computing significantly improved the operational efficiency and decision support capabilities of the enterprise. © 2025 the Authors. Published by Elsevier B.V.

关键词： Enterprise resource planning

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Future of Entertainment: Integrating Generative AI into Free Ad-Supported Streaming Television Using the Variational Autoencoder

Future of Entertainment: Integrating Generative AI into Free...

引用

Electronics and Sustainable Communication Systems (ICESC), 2020 International conference on

作者： Shashishekhar Ramagundam Niharika Karne Software Development & Engineering in Content Discovery & AI Comcast USA Sr. Principal Systems Engineer in C & RS Platform services DT Amtrak USA

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

Generative Artificial Intelligence (AI) is derived from the application of AI to produce works of original art including music, films, and images. Moreover, tailored Ads that are more suitable to specific viewers are produced using generative AI. But it is crucial to think about the moral complications of utilizing generative AI in streaming video. there are some issues that include data security, privacy, and the possibility of manipulating or misusing AI -generated information. So, we developed an effective Ad generation model using deep learning to tackle the existing challenges. Initially, the data is taken from the benchmark sources and given into the FAST process. Here, the Variational Autoencoder (VAE) model is used for the FAST process to generate Ads. the model offers the effectual outcome after completing the process. then, the effectiveness of the developed model is compared with several existing models to showcase the superiority over other models accurately.

关键词： Training Support vector machines data privacy TV Generative AI Films Organizations Streaming media Motion pictures Identification of persons

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Electronic Medical Record Sharing System Based on Hyperledger Fabric and InterPlanetary File System 2021

Electronic Medical Record Sharing System Based on Hyperledge...

引用

5th International conference on Compute and data Analysis, ICCDA 2021

作者： Li, Lei Yue, Zhengxiang Wu, Gongqing Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9781450389112

Electronic Medical Records (EMR) and other medical data contain important and sensitive privacy information of patients, which provide important basis and reference for their doctors to diagnose and treat them. With the continuous development of data sharing, big data applications and other technologies, new requirements are proposed for the storage of medical privacy data. At present, medical data have the characteristics of obstructed sharing and exchange, difficult data tracing and data sensitivity, which increases the cost and difficulty of each diagnosis. Moreover, patients lack the right to know and control their own medical data, which is easy to cause data fraud or data leakage. As a decentralized, tamper proof and traceable distributed ledger system, blockchain brings new solutions to these problems. this paper designs a medical data fusion and distributed privacy management system based on the Hyperledger Fabric blockchain development platform and InterPlanetary File System. It can not only solve the problem of mutual distrust in the traditional system, but also realize the safe data storage and the safe sharing of medical record data between medical organizations which is a beneficial attempt to overcome the disadvantages of traditional hospital data separation. At the same time, according to the requirements of different levels and types of medical users or groups for data security and personal privacy protection, the access control technology of users is studied to ensure personal privacy data. © 2021 acm.

关键词： Blockchain

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application of Convolutional Neural Network (CNN) to Optimize Quality Inspection System for Filamentary Materials

Application of Convolutional Neural Network (CNN) to Optimiz...

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

作者： Chen, Jianfeng Lei, Jiamin Chen, Zhenye Zeng, Ziyang Guangzhou Cigarette Factory of China Tobacco Guangdong Industrial Co. Ltd Guangzhou China

In order to improve the quality inspection accuracy and efficiency of filamentary materials, an automated quality inspection system is designed based on convolutional neural network (CNN). through image preprocessing, feature extraction and quality evaluation modules, the system is able to efficiently recognize normal materials and materials with different degrees of defects. the experimental results show that the accuracy of the model is 90.2% on slightly defective materials and 94.5% on severely defective materials, and the overall accuracy reaches 92.7% with the error rate reduced to 7.1%. the system significantly improves detection speed and accuracy and facilitates more intelligent quality control of threaded materials. © 2025 the Authors. Published by Elsevier B.V.

关键词： Damage detection

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A Study on the privacy threat Analysis of PHI-Code 5th

A Study on the Privacy Threat Analysis of PHI-Code

引用

5th Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) International Joint conference on Web and Big data

作者： Cui, Dongyue Piao, Yanji Yanbian Univ Yanji Jilin Peoples R China

ISBN: (纸本)9789811681431;9789811681424

During the period of epidemic prevention and control, personal health information code (PHI-code) is widely used in China and has brought significant benefits, including helping to manage the flow of people effectively and to slow down the spread of corona virus. However, the personal information security issues involved in the use of PHI-code has also attracted people's attention. To solve this problem, we can use the security threat modeling to strategize and protect personal information. there are various security threat modeling techniques exist today, such as LINDDUN, PASTA and NIST. In this paper, we analyze all possible privacy threats contained in PHI-code by using LINDDUN, which is a threat modeling technique for personal information protection and is not used in the analysis of domestic PHI-code. Finally, we derive threat mitigation strategies based on the security evaluation results. this study will improve the future public health information collection system towards more privacy protection and promote the stable development of society.

关键词： PHI-code privacy threats Mitigation strategies

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Forensic Analysis of the Cisco WebEx application 5

Forensic Analysis of the Cisco WebEx Application

引用

5th Cyber security in Networking conference, CSNet 2021

作者： Khalid, Zainab Iqbal, Farkhund Kamoun, Faouzi Hussain, Mohammed Khan, Liaqat Ali Pakistan College of Technological Innovation Zayed University United Arab Emirates ESPRIT School of Engineering Tunisia Air University Pakistan

ISBN: (纸本)9781665407229

the COVID-19 pandemic has triggered a surge in the usage of videoconferencing applications around the globe. While this trend provided a convenient alternative to face-to-face meetings, it has also opened the door for new scenarios of malicious attacks. the security and privacy of the (videóconférence) participants' data has therefore become a major concern. Despite its importance, the forensic analysis of videoconferencing applications remains a relatively under researched area. this paper presents a detailed analysis of the Cisco WebEx videoconferencing application on a Windows OS in the areas of memory forensics, disk-space forensics and network forensics. From the extracted artifacts, it is evident that valuable user data can be retrieved from different sources. these include user emails, user IDs, profile photos, sent and deleted chat messages, shared media, meeting information including meeting passwords, Advanced Encryption Standard (AES) keys, keyword searches, timestamps, and log files. Although network communications are encrypted, some useful artifacts can be retrieved such as IPs of server domains and host devices along with message/event timestamps. Digital certificates of the videoconferencing communications are also retrieved. © 2021 IEEE.

关键词： Video conferencing

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5th International Symposium on Mobile Internet security, MobiSec 2021

5th International Symposium on Mobile Internet Security, Mob...

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5th International Symposium on Mobile Internet security, MobiSec 2021

ISBN: (纸本)9789811695759

the proceedings contain 28 papers. the special focus in this conference is on Mobile Internet security. the topics include: Smart Contract-Based Personal data Protection Framework: In Cross-App Advertising;a Blockchain-Based Authentication Scheme for 5G applications;Effectiveness of Video-Classification in Android Malware Detection through API-Streams and CNN-LSTM Autoencoders;trojan Attacks and Defense for Speech Recognition;ensuring the Big data Integrity through Verifiable Zero-Knowledge Operations;forensic Analysis of Fitness applications on Android;fingerprint Defender: Defense Against Browser-Based User Tracking;detection of Business Email Compromise Attacks with Writing Style Analysis;a Systematic Literature Review on the Mobile Malware Detection Methods;distributed Trust and Reputation Services in Pervasive Internet-of-things Deployments;forensic Analysis of Apple CarPlay: A Case Study;classification and Analysis of Vulnerabilities in Mobile Device Infrastructure Interfaces;Which One is More Robust to Low-Rate DDoS Attacks? the Multipath TCP or the SCTP;a Blockchain-Based User Identity Authentication Method for 5G;Cyber-Attack Behavior Knowledge Graph Based on CAPEC and CWE Towards 6G;A DDoS Detection Method with Feature Set Dimension Reduction;development of Total security Platform to Protect Autonomous Car and Intelligent Traffic System Under 5G Environment;an Anonymous Communication System Based on Software Defined Architecture;security Association Model: Interdisciplinary application of 5G Positioning Technology and Social Network;Comparative Analysis of Bluetooth LE and EDHOC for Potential security Protocol in Artificial Pancreas System;a Credible Information Fusion Method Based on Cascaded Topology Interactive Traceability;semantic Embedding-Based Entity Alignment for Cybersecurity Knowledge Graphs;a Secure Dispersed Computing Scheme for Internet of Mobile things;a Necessary Condition for Industrial Internet of things Sustainability;future applications

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