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检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

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application of Unsupervised Learning Algorithms in Environmental Factor Correlation Analysis and Model Construction

Application of Unsupervised Learning Algorithms in Environme...

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

作者： Zhao, Yu Zhang, Ting Xinjiang Shengyuan Xianghe Environmental Protection Engineering Co. Ltd. Xinjiang Urumqi China

As environmental protection issues become more serious, scientists and policy makers are in urgent need of efficient tools to analyze and manage environmental data. this study explores the application of unsupervised learning algorithms in correlation analysis and model building, with a special focus on the effectiveness of clustering, dimensionality reduction and density estimation algorithms in processing and interpreting complex environmental data. By applying K-mean clustering, Principal Component Analysis (PCA), self-organizing mapping, and Density-Based Spatial Clustering of applications with Noise (DBSCAN), we identified air and water pollution sources, assessed the environmental quality of multidimensional environmental data, monitored the health of ecosystems, and evaluated environmental risk areas. Higher concentrations of PM2.5 (2.5-micrometer Particulate Matter), NO2, and SO2 in the industrial areas (monitoring points 1, 3, 5, 7, and 10) indicate that there are serious air pollution problems in these areas. the results show that the unsupervised learning algorithm can effectively extract key information from environmental monitoring data to support the formulation and implementation of environmental policies. this study not only extends the application of unsupervised learning in the field of environmental sciences, but also provides a reliable data-driven method for environmental management, which helps to improve the science and effectiveness of environmental protection and sustainable development. © 2025 the Authors. Published by Elsevier B.V.

关键词： K-means clustering

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Secure Remote Monitoring and Cipher data Sharing for IoT Healthcare System with privacy Preservation 21

Secure Remote Monitoring and Cipher Data Sharing for IoT Hea...

引用

5th International conference on Cloud and Big data Computing, ICCBDC 2021

作者： Jin, Yong Tomoishi, Masahiko Yamai, Nariyoshi Tokyo Institute of Technology Japan Tokyo University of Agriculture and Technology Japan

ISBN: (纸本)9781450390408

With the increase of Internet connected IoT devices, remote monitoring and data sharing have become a new trend of IoT healthcare systems. the top three concerns in an IoT system are scalability, secure communication and privacy preservation. SSL/TLS based direct connection to the IoT devices has critical scalability issue and non-encrypted data sharing has high privacy leaking risk. In this paper, we propose a secure remote monitoring and cipher data sharing for IoT healthcare system with the consideration of privacy preservation. In the proposed system, the data transmission between the IoT related devices uses the conventional communication protocols as usual such as Constrained application Protocol (CoAP) and Message Queuing Telemetry Transport (MQTT) while the remote monitoring and data sharing use Domain Name System (DNS) protocol and Docker container technology. the SIG(0) authentication scheme of DNS protocol is used for the remote monitoring as well as data sharing and only cipher data is transferred via the Docker container in the Internet with clear authentication. A prototype system has been implemented in a local experimental network and the evaluation results confirmed successful secure remote monitoring and cipher data sharing for IoT healthcare system. © 2021 acm.

关键词： Monitoring

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Efficient data Sharing using Multi-authority Attribute Based Encryption in Blockchain 5

Efficient Data Sharing using Multi-authority Attribute Based...

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5th International conference on Electronics, Communication and Aerospace Technology, ICECA 2021

作者： Kirupanithi, D.Nancy Antonidoss, A. Hindustan Institute of Technology and Science Department of Computer Science and Engineering India

ISBN: (纸本)9781665435246

the process of data exchange relies heavily on attribute-based encryption. the secret key can be shared with other users for transactions and it does not contain any user-related data. the attribute authority creates the secret key from a collection of attributes. It is difficult to tell whether the authority or the other nodes are providing the altered private key. When the structure of access control in a dispersed network is flawed, sensitive information is exposed. the efficiency of attribute-based encryption is a hindrance in its applications. data is more reliable and approved because to blockchain technology. In the suggested system a multi-authority attribute based encryption is been implemented. the attribute bloom filter is used in access control and to hide attributes. the performance and security analysis reveals a safe and efficient privacy system. © 2021 IEEE.

关键词： Blockchain

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Survey on Radio Frequency Identification security and Attacks 5

Survey on Radio Frequency Identification Security and Attack...

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5th International conference on Future Networks and Distributed Systems: the Premier conference on Smart Next Generation Networking Technologies, ICFNDS 2021

作者： Alshammri, Turki Albakheet, Mohammed Kateeb, Ibraheem Qassim University Computer Engineering Saudi Arabia

ISBN: (纸本)9781450387347

RFID technology offers tracking capabilities in locating people, items, animals in real-time, and provides accurate and efficient access to reliable medical data/ patient's details to nurses/doctors. Healthcare organizations have been in the frontline in acquiring this technology;their views on the technology are to provide security for medicines and facilities equipment's that are much expensive and costly to lose. this research paper caters to computing professionals who are not familiar with the specifics of RFID through a systematic review of the uses of RFID and the various common attacks/vulnerability with reference to the healthcare sector as the sample field of application of the RFID technology in various industries. the research paper refers to the existing research and application knowledge on the various types of RFID attacks and common uses in various industries. © 2021 acm.

关键词： Radio frequency identification (RFID)

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Research on Cross-site Scripting Vulnerability of XSS Based on International Student Website 5

Research on Cross-site Scripting Vulnerability of XSS Based ...

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5th International conference on Computer Network, Electronic and Automation, ICCNEA 2022

作者： Wang, Tianma Zhao, Dongmei Qi, Jianjun International Education Institute North China Electric Power University Beijing China Hebei Normal University College of Computer and Cyber Security Shijiazhuang China Key Laboratory of Network and Information Security in Hebei Province Shijiazhuang China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

the international student website is the window of the school's external publicity. through the website, international students can understand the school in a wider range and in all aspects. the website is often attacked by network hackers. How to ensure the security of the website? Cross site scripting attack (XSS) is the most common web application security vulnerability. through the analysis of cross site scripting attack (XSS), this paper puts forward the preventive methods for input verification, output coding, clearly specifying the coding mode of output, paying attention to the limitations of blacklist verification mode, being alert to standardization errors, and gives examples of not inserting untrusted data in the allowed position, and HTML coding these data when inserting untrusted data between HTML tags, Before inserting untrusted data into common HTML attributes, encode HTML attributes;before inserting untrusted data into HTML JavaScript, encode JavaScript;before inserting untrusted data into HTML style attribute values, encode CSS;before inserting untrusted data into HTML URL attributes, encode URL;when using rich text, use XSS rule engine to encode and filter and other corresponding defense rules. © 2022 IEEE.

关键词： Websites

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SafeHome: Automation and security System Using Internet of things with Mobile application 5

SafeHome: Automation and Security System Using Internet of T...

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5th International conference on Advanced Research in Computing, ICARC 2025

作者： Abas, Patricia A. Reyes, Bryll Christopher O. Serquina, Jazzy Niega, Juliet O. Medina, Oliver A. National University - Philippines Department of Computer Engineering Calamba City Philippines

ISBN: (纸本)9798331530983

the rapid advancements in Internet of things (IoT) technology have transformed home automation and security, addressing the demand for convenience, comfort, and energy efficiency. Despite global market growth, barriers such as limited user understanding, power dependency, and lack of localized functionality hinder adoption in the Philippines. To address these challenges, this study developed SafeHome, an IoT-enabled smart home automation and security system. SafeHome integrates ESP32 and Arduino Nano microcontrollers with Firebase Realtime database, enabling real-time device synchronization and monitoring through an Android mobile application. Key features include PIN-based security, push notifications, ultrasonic presence detection, and a safety breaker to prevent electrical hazards. the system also incorporates offline keypad access and backup power to ensure uninterrupted security operations. Agile Scrum methodology guided the system's iterative development, emphasizing user-centric design and continuous testing. A quantitative approach was applied to the descriptive research method using a five-point Likert scale in the evaluation. data were collected from 12 evaluators, comprising six industry professionals and six homeowners, using a survey instrument based on the ISO/IEC 25010:2023 product quality model. the evaluation result from industry professionals is 4.76 out of 5, and 4.93 out of 5 from homeowners, corresponding to an "Excellent"descriptive interpretation. this result shows the developed system meets high security, usability, and user acceptance performance. Overall, the study demonstrates the potential of IoT-driven solutions to bridge gaps in home automation, offering an accessible and adaptable system tailored to local contexts. SafeHome advances smart home technology and addresses critical challenges, ensuring broader adoption and impact in modern residential settings. © 2025 IEEE.

关键词： ISO Standards

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Design and application of English Grammar Automatic Correction System Based on Machine Learning

Design and Application of English Grammar Automatic Correcti...

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

作者： Wei, Hua Jiangxi Vocational College of Foreign Studies Jiangxi Nanchang330099 China

English grammatical errors frequently affect the clarity of information transmission, and an effective automatic error correction system is urgently needed. this paper aims to design an English grammar automatic error correction system based on machine learning. First, this paper constructs a corpus containing a large number of annotated errors and corrected samples, uses the advanced pre-trained language model BERT for feature extraction, and then fine-tunes the model through transfer learning methods to adapt to specific grammatical error correction tasks. In addition, this paper adopts a sequence-to-sequence (Seq2Seq) model architecture and combines it with an attention mechanism to enable the model to better capture contextual information and generate corresponding error correction outputs. the system can effectively identify and correct common grammatical errors, with a grammatical correction accuracy of 97.8%, improving the readability and accuracy of the text, proving its potential application value in education and writing assistance tools. © 2025 the Authors. Published by Elsevier B.V.

关键词： Transfer learning

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Status Quo Intelligent Evaluation of the Network security Legal Awareness: Modelling and Simulations 5

Status Quo Intelligent Evaluation of the Network Security Le...

引用

5th International conference on Electronics, Communication and Aerospace Technology, ICECA 2021

作者： Liu, Dapeng Wang, Jingna Shaanxi Business College Shaanxi Xi'an710119 China

ISBN: (纸本)9781665435246

Status quo intelligent evaluation of the network security legal awareness with modeling and simulations is studied in this paper. through the security risk assessment of the network system, various network security issues that appear in the application process of the network system can be effectively dealt with in real time. Proxy firewall technology is aimed at personal computer users who need to use a proxy network. When personal computer users access remotely through a proxy server, they often need to then lower the personal computer firewall protection level due to the need for data transmission. With this requirement, this paper proposes the novel modelling method to construct the efficient system. the experiment has proven the satisfactory performance. © 2021 IEEE.

关键词： Network security

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Intelligent Fault Identification System Integrating Artificial Intelligence and Power Big data

Intelligent Fault Identification System Integrating Artifici...

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

作者： Xiaokaiti, Maihebubai Jia, Junqiang Yang, Lina State Grid Xinjiang Information and Telecommunication Company Xinjiang Urumqi830000 China

this study constructs an intelligent fault identification system based on the fusion of artificial intelligence and power big data to improve the efficiency and accuracy of fault detection. First, various data from the power system are collected and preprocessed, including historical fault records, real-time monitoring data, and environmental factors. the data are normalized using the Z-score standardization method to ensure data consistency. Secondly, the PCA feature selection technique is used to extract key information. In the model training stage, CNN and LSTM are combined, the network weights are optimized through the back propagation algorithm, and the cross entropy loss function is used for evaluation. the system can accurately identify the fault type within 3 seconds after the fault occurs, significantly improving the fault response speed. the intelligent fault identification system that integrates artificial intelligence and big data provides effective technical support for the safe operation of the power industry and has broad application prospects. © 2025 the Authors. Published by Elsevier B.V.

关键词： Backpropagation

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application of 3D CAD technology in automotive machinery design

Application of 3D CAD technology in automotive machinery des...

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

作者： Zhuang, Yanyan Yao, Chunling Shandong Business Institute Yantai264000 China

this study systematically discusses the innovative application of 3D CAD technology in automotive machinery design, and constructs a closed-loop design system from parametric modeling to multi-physics simulation. At the engineering verification level, taking the design of the conveyor chain of automobile axle forging as an example, the intermittent transmission mechanism was optimized based on virtual prototype simulation technology, and the dynamic trajectory planning and topology optimization algorithm of ratchet indexing device were adopted to significantly improve the motion stability and structural stiffness of the conveyor system. the results show that 3D CAD technology can systematically solve the efficiency bottleneck and engineering error problems in the traditional design process through four technical paths: parametric modeling, virtual assembly verification, modular deformation design and multi-physical field co-simulation, greatly reduce the design iteration cycle, and realize the deep integration of geometric accuracy and process specifications. © 2025 the Authors. Published by Elsevier B.V.

关键词： Machine design

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