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检索条件"任意字段=9th International Conference on Computing and Data Engineering, ICCDE 2023"

共 3596 条记录，以下是51-60 订阅

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the Impact of ChatGPT on Streaming Media: A Crowdsourced and data-Driven Analysis using Twitter and Reddit 9

The Impact of ChatGPT on Streaming Media: A Crowdsourced and...

引用

9th IEEE international conference on Big data Security on Cloud (BigdataSecurity) / 9th IEEE international conference on High Performance and Smart computing (IEEE HPSC) / 9th IEEE international conference on Intelligent data and Security (IEEE IDS)

作者： Feng, Yunhe Poralla, Pradhyumna Dash, Swagatika Li, Kaicheng Desai, Vrushabh Qiu, Meikang Univ North Texas Denton TX 76203 USA Ohio State Univ Columbus OH USA Dakota State Univ Madison SD USA

ISBN: (纸本)9798350312935

ChatGPT, a general-purpose text generation Al model, is reshaping various domains ranging from education and software development to legal defense and novel writing. Despite its potential impact, there is a lack of research on how ChaIGPT might influence streaming media, which is an essential part of everyday entertainment. As a result, it remains unclear how ChatGPT is changing the future of streaming media. To bridge such a research gap, in this paper, we propose a crowdsourced, data-driven framework that leverages two social media platforms, Twitter and Reddit, to explore the impact of ChatGPT on streaming media. through extensive analysis of social media data collected from Twitter and Reddit, we reveal how ChatGPT is transforming streaming media from diverse perspectives. Our data analytics demonstrates that ChatGPT is sparking both fear and excitement in the context of the streaming media and enhancing the downstream visual generative models, such as DALLE-2 and Stable Diffusion Videos. To the best of our knowledge, this study is the first large-scale and systematical investigation into the effects of ChatGPT on streaming media. Hope our findings will inspire further research and discussions on this topic across academia and industry.

关键词： ChatGPT social networks streaming media data analysis thitter Reddit

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A Novel Approach for data Encryption Based on Vector-Matrix Keys 9

A Novel Approach for Data Encryption Based on Vector-Matrix ...

引用

9th international conference on Advanced computing and Communication Systems, ICACCS 2023

作者： Maragatharajan, M. Sathishkumar, L. Manikandan, J. Suprakash, S. Naveen, P. VIT Bhopal University School of Computing Science and Engineering Madhya Pradesh Kothrikalan India Kalasalingam Academy of Research and Education Department of Information Technology Tamilnadu Krishnankoil India Sri Eshwar College of Engineering Department of Electronics and Communication Engineering Tamilnadu Coimbatore India

ISBN: (纸本)9798350397376

the foundation of cryptography is number theory, which is crucial to data security. the majority of commonly used encryption techniques use prime integers, making it challenging to identify specific prime values (keys). the suggested approach employs matrices and vectors as keys, making it harder to identify the individual keys and using vectors to represent the data. Now a days, one method for providing data security safeguards is encryption. the right encryption technique protects digital data from unauthorized access, data corruption, e-piracy, e-theft, and other threats. data security is the main benefit of utilizing this method. Here, we have used the symmetric key encryption procedure to generate keys from two uneven matrices. Seven different keys in matrix format have been chosen to perform encryption and decryption. With the help of an example, the techniques for encryption and decryption have been explained. © 2023 IEEE.

关键词： Cryptography

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Achieving Efficient and Secure Task Allocation Scheme in Mobile Crowd Sensing 10

Achieving Efficient and Secure Task Allocation Scheme in Mob...

引用

10th IEEE international conference on Cyber Security and Cloud computing and 9th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Li, Zhixue Zhang, Shiwen Xiong, Naixue Liang, Wei Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China

ISBN: (纸本)9798350312461

In recent years, as a novel perceptual paradigm, Mobile Crowd Sensing (MCS) has gradually become one of the most popular research contents. It utilizes mobile devices carried by users to collect various sensing data about social events and phenomena. To improve the credibility of the data, it is critical to recruit mobile users, but it leads to the privacy leakage of mobile users. therefore, how to achieve efficient task allocation while protecting user data privacy is a challenging problem in MCS. In this paper, we propose an efficient and secure task allocation scheme (ESTA). In ESTA, the service provider enables to forecast the spatial distribution of sensing users and select high quality sensing data according to their trust levels without invading user privacy. By utilizing the advantage of federated learning (FL) that does not centrally collect the user data to prevent privacy leakage. Finally, we show the security properties of ESTA and demonstrate its efficiency in terms of task finished ratio and task allocation ratio. © 2023 IEEE.

关键词： data privacy

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AI Agents at Different data Centers to Minimize the Energy Spending 9

AI Agents at Different Data Centers to Minimize the Energy S...

引用

9th international conference on Advanced computing and Communication Systems, ICACCS 2023

作者： Dharaniya, R. Saranya, V.S. Sarath Babu, N. Zaid, Syed Aakif Easwari Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350397376

the proposed system develops and evaluates machine learning models for predicting power consumption in data centers. the project involves data collection and preprocessing, training and evaluation of five models including Long Short-Term Memory (LSTM), Deep Neural Network (DNN), Extreme Gradient Boosting (XGB), Gradient Boosting (GB), and K-Nearest Neighbors (KNN), and the comparison of their performances using Mean Squared Error (MSE). the best performing model is deployed in a production environment and continuously monitored for improvement. the proposed system utilizes AI and deep learning technology to make accurate energy consumption predictions based on real-time data, eliminating the need for manual monitoring and improving accuracy and efficiency. the system also provides an efficient approach to managing energy consumption while maintaining security, reducing the risks associated with manual management. © 2023 IEEE.

关键词： Sustainable development

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Research on the green empowerment system of communication network infrastructure 9

Research on the green empowerment system of communication ne...

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9th international conference on Energy Materials and Electrical engineering, ICEMEE 2023

作者： Wang, Lu Liu, Peipei Yang, Wenfang Yu, Xiaoxi 91977 Troops Shandong China Naval Logistics Department Information Support Office Shandong China 92961 Troops Henan China

ISBN: (纸本)9781510672765

Based on the analysis of energy consumption challenges in communication network infrastructure, this article studies a data-driven green empowerment system framework, effectively utilizing massive communication infrastructure monitoring data, appropriately supplementing energy measurement sensors, exploring a conversion calculation model from communication network monitoring to energy consumption measurement, and achieving energy optimization and green empowerment in the field of communication network infrastructure. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Telecommunications data communications Power consumption data storage Carbon Power supplies Buildings computing systems Fluctuations and noise data conversion

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Real Time Sales data Analysis 9

Real Time Sales Data Analysis

引用

9th international conference on Advanced computing and Communication Systems, ICACCS 2023

作者： Preethi, M. Kanna, A. Rajesh Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641022 India

ISBN: (纸本)9798350397376

Now a days the data generated is further due to the increase in the information collected. It offers information on top performing and underperforming products services, dealing issues and request openings, deals vaticinations and profit generating deals conditioning. Making a deals data analysis for your establishment will help you understand what products your guests are buying and why they reply the way they do. We must conduct deals analyses for all the products we vend at regular intervals. By the use of colorful machine learning models deals analysis is being carried out efficiently. therefore Machine Learning plays a vital part in deals data analysis. A Deals Analysis it becomes much easier to punctuate your most profitable guests and keeping these guests engaged with your business can be the key to adding overall profitability. © 2023 IEEE.

关键词： Profitability

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Securing the Confidential data Using Blockchain and DT Framework 9

Securing the Confidential Data Using Blockchain and DT Frame...

引用

9th international conference on Advanced computing and Communication Systems, ICACCS 2023

作者： Janani, S.R. Mukesh Kumar, A. Nigilesh, R. Karunya, G. Nitheesh, C. SNS College of Technology Department of Computer Science and Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350397376

In this Digital era, 84% of people in the world are using the internet and creating login credentials for banks, social media accounts, and so on... most people are storing their login credentials in auto save mode or store them in the local system. by this type of storing, 66% of login credentials have been leaked every day. in this digital world, major people are facing issues remembering login credentials and securely storing confidential data due to the increase of login credentials and also there was a problem in storing data in centralized data because the server has been hacked or affected under a malicious attack by hackers. By that confidential documents have been leaked and caused major issues leading to corporate war. In Government, they faced these types of issues in storing secure data. for these types of issues, we invent a password manager to store data in a secure format. it works under blockchain technology. which data has been encrypted by high-level encryption namely SHA 256 algorithm and connected into chain format. encrypted data has been stored in a decentralized server or peer-to-peer network. the application is known as 'SecBlock'. With this feature, users cannot be afraid about their login credentials. it was 97% securable. © 2023 IEEE.

关键词： Blockchain

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Research Review of Big data-Based Service Science, Management and engineering 9

Research Review of Big Data-Based Service Science, Managemen...

引用

9th international conference on Big data and Information Analytics, BigDIA 2023

作者： Liu, Fang Chen, Ziyi Hao, Zepeng Dou, Yajie National University of Defense Technology Institute for Defense Technology and Strategic Studies Changsha China National University of Denfense Technology College of Systems Engineering Changsha China National University of Denfense Technology Changsha China

ISBN: (纸本)9798350330076

With the rapid development, modern service industry is becoming the largest Gross domestic product(GDP) industry in many countries. Big data-based service science, management and engineering has become a new research hotspot. this paper focuses on the current progress of big data-based service research. It starts with the definition and connotation of service and service science, defines a series of related concepts, and analyzes the status of big data-based service science, management and engineering from the perspective of service computing and service management. then, based on basic concepts and current research progress, the current hot areas and methods are summarized and compared. Finally, the potential theoretical and applied related fields are pointed out. © 2023 IEEE.

关键词： Big data

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Malicious ADS -B data Generation Based on Improved GAN 9

Malicious ADS -B data Generation Based on Improved GAN

引用

作者： Lei, Jin Jiang, Ruifang Wu, Zhijun Civil Aviat Univ China Sch Safety Sci & Engn Tianjin Peoples R China

ISBN: (纸本)9798350312935

Automatic dependent surveillance broadcast (ADS -B) system sends messages over unencrypted wireless channels without any information integrity protection measures, and its messages are at risk of interception and tampering, which can easily lead to impersonation and forgery attacks. At present, although the ADS -B data anomaly detection model based on machine learning has excellent performance in predicting normal samples, the machine learning model may face different degrees of risk in each stage of its life cycle due to the existence of a large number of attackers in real scenes. To build secure and reliable machine learning systems, exploit potential vulnerabilities. Aiming at the ADS -B abnormal data detection model based on machine learning, this paper studies a construction method of poisoning data with strong applicability and establishes attack model. By injecting malicious data generated by the Generative adversarial network into the machine learning model, the performance of the trained model deteriorates and data misclassification occurs. Experimental results show that the malicious ADS -B data generation method proposed in this paper achieves good results, which lays a foundation for optimizing system defense technology and guaranteeing ADS -B security.

关键词： ADS-B Generative adversarial netwo machine learning malicious data security

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data Placement Strategy of data-Intensive Workflows in Collaborative Cloud-Edge Environment 10

Data Placement Strategy of Data-Intensive Workflows in Colla...

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10th IEEE international conference on Cyber Security and Cloud computing and 9th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Liang, Yang Ding, Changsong Hu, Zhigang Hunan University of Chinese Medicine School of Informatics Changsha China Central South University School of Computer Science and Engineering Changsha China

ISBN: (纸本)9798350312461

With the continuous development and integration of mobile communication and cloud computing technology, cloud-edge collaboration has emerged as a promising distributed paradigm to solve data-intensive workflow applications. How to improve the execution performance of data-intensive workflows has become one of the key issues in the collaborative cloud-edge environment. To address this issue, this paper built a data placement model with multiple constraints. Taking deadline and execution budget as the core constraints, the model is solved by minimizing the data access cost of workflow in the cloud-edge clusters. Subsequently, an immune genetic-particle swarm hybrid optimization algorithm (IGPSHO) is proposed to find the optimal replica placement scheme. through simulation, compared with the classical immune genetic algorithm (IGA) and particle swarm optimization (PSO), the IGPSHO has obvious advantages in terms of workflow default rate, time-consuming ratio, and average execution cost when the workflow scale is large. © 2023 IEEE.

关键词： Budget control

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