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Smart framework for enhancing security of IoT linked devices in Healthcare Systems 5

Smart framework for enhancing security of IoT linked devices...

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5th International conference on Information Management and Machine Intelligence, ICIMMI 2023

作者： Duvey, Anurag Anand Rahi, Pankaj Gowri Ganesh, N.S. Basa, Santi Swarup Dept. of Artificial Intelligence & Data Science Poornima Institute of Engineering and Technology Jaipur India Health Information Technology Management Indian Institute of Health Management Research Bangalore India Dept. of Artificial Intelligence & Data Science Saveetha Engineering College Chennai India Dept. of Computer Science Maharaja Sriram Chandra Bhanja Deo University Odisha Baripada India

ISBN: (纸本)9798400709418

the adoption of blockchain technology is widespread across diverse industries due to its rapid advancement and high level of innovation. the technology in question is widely acknowledged for its ability to adapt and be utilized in diverse domains, thereby enabling the storage of data in interconnected fields through peer-to-peer networks. Blockchain technology demonstrates high performance in the storage of transactions that have minimal digital traces, as well as in situations where there is a need for immutability and transparency. the utilization of blockchain technology can potentially offer advantages in various domains such as supply chain management, the maintenance of dynamic patient authorization for data use, and the verification of patient, provider, or supplier identification in certain situations. the main objective of this research study is to investigate the application of blockchain technology in improving the security of Internet of things (IoT) systems, particularly in the context of remote patient monitoring and its linked EHR system. this article explores the advantages of incorporating Internet of things (IoT) devices into the remote patient monitoring practice, as well as the practical challenges that may arise during the installation phase. the proposed concept utilizes sophisticated and effective cryptographic methodologies, particularly the Advanced Encryption Standard (AES) scheme, to guarantee dependable data transmission across networks and safeguarded storage within cloud environments. © 2023 acm.

关键词： Smart contract

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5th International conference on Innovative Product Design and Intelligent Manufacturing Systems, ICIPDIMS 2023

5th International Conference on Innovative Product Design an...

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5th International conference on Innovative Product Design and Intelligent Manufacturing Systems, ICIPDIMS 2023

ISBN: (纸本)9789819767311

the proceedings contain 57 papers. the special focus in this conference is on Innovative Product Design and Intelligent Manufacturing Systems. the topics include: Development of an Intuitive Autonomous Ground Robot for Indoor Delivery applications;development of a Computer-Assisted Vision-Based Inspection Monitoring System for Quality Assurance;analysis of Challenges of IoT Adoption for Smart City application;finite Element Modelling and Comparative Assessment of Single-Level Cervical Disc Replacement with Fusion Surgery;a Statistical Method-Based Auto-Fitted Genetic Algorithm for Damage Diagnosis;emovere Agnitio by Textual Tweets Using Machine Learning;government Bidding security Management System Using Blockchain;resource Forecasting of Geographical Area Using Big data Analytics;design Optimization and Aerothermodynamic Analysis Over a Supersonic Vehicle;Evaluation of Weldability and Optimization of TIG Welding Process Parameters for Maximized Yield Strength;terahertz-Frequency Propagation for Autonomous Transport Infrastructure;energy-Efficient Coffee Pulper;community Perception on Groundwater Quality Versus Analytical Quality in the Coastal Areas of Visakhapatnam, India—Opinion Versus Actuality;simulation Modeling and Analysis for Supply Chain Disruptions: A Case Study from a Process Industry in Kerala;integrating Hand Gesture Tracking with Physical and Digital Twins of Robotic Arm;performance Enhancement of Pump Parameters through Innovative Spring Design of Mechanical Seal for a Heat Exchanger;enhancing Biocompatibility and Performance of Multi-directionally Expanding Materials for Dental applications: Design and Analysis;synthesis of Hybrid Nanofluids, Properties, and Its applications—A Comprehensive Review;application of Hybrid Decision-Making Method in Ranking Polymer Biomaterials for Interim Dental Crowns;Analysis on Mechanical Properties of Aluminium MMC with Graphite and Boron Nitride Powder;textile Crafts of Bharat.

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5th International conference on Computing, Communications, and Cyber security, IC4S 2023

5th International Conference on Computing, Communications, a...

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5th International conference on Computing, Communications, and Cyber security, IC4S 2023

ISBN: (纸本)9789819725496

the proceedings contain 68 papers. the special focus in this conference is on Computing, Communications, and Cyber security. the topics include: Compact and High-Gain RFID Reader Antennas for Future Internet of things applications;Enabling Modern IoT Solutions with RFID Devices via an Integrated Feeding Network-Fed Ultra-Wide HPBW Patch Antenna Array;A Compact and Extremely Stiffness CPW-Fed Metal-Only Patch Antenna Array for Unlimited Lifetime 2U CubeSat Mission Capabilities;Jeans-Based UWB UHF Textile Patch Antenna for IoT applications;Design and Fabrication of PCB-Based Proximity Sensors for application in Automatic Railway Crossing System;feaTrim-ViT: Vision Transformer Trimming with One Shot Neural Architecture Search in Continuous Optimisation Space and Efficient Feature Selection;detecting Depressive Symptoms on Social Media: A Comprehensive Review of Methodologies and Strategies for Suicide Prevention;enhancing Video Content Accessibility through YouTube Transcript Summarization;Enhanced Rear-End Collision Detection and Localization Scheme Using LSTM, DRNN, and DNN in Fog-Based Internet of Vehicles;security threats and data Protection Methods Used in Cloud Computing: A Review;load Balancing Algorithms for Cloud Computing Performance: A Review;seamless Mobility: Innovating the Digital Service Landscape in Telecom Industry;Pandemic Pulse: Unveiling Insights with the Global Health Tracker through AI and ML;CNN-Based Model for Real-Time Identification of Face Masks;a Systematic Review of Deepfake Detection Using Learning Techniques and Vision Transformer;probabilistic Forecasting Prediction Model for Anticipating Days with Elevated Air Pollution;optimizing Graph Colorings: Unleashing the Power of Heuristic Algorithms for Enhanced Problem-Solving;a Load Balancing Approach Using Binary Search;enhancing Software Reliability through Hybrid Metaheuristic Optimization.

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Analysis of Commercial Cryptography application and Verification in Intelligent Connected Vehicles 5

Analysis of Commercial Cryptography Application and Verifica...

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5th International conference on Computers, Information Processing and Advanced Education, CIPAE 2024

作者： Li, Yuning Shao, Xuebin Dong, Changqing Bao, Yue Zhao, Yaqing China Automotive Technology Research Center Co. Ltd Tianjin China Co. Ltd Tianjin China

ISBN: (纸本)9798331527662

the purpose of this project is to solve the information security problems existing in the information of commercial vehicles. the fusion of SM2 packet encryption and SM3 encryption is used to realize the confidential transmission of vehicle information. Virtual security gateway is constructed by CANoe method. the SM2 algorithm is used to encrypt the new value of the message and the initial data area of the message to reduce the risk of plaintext attack. the SM3 method is used to ensure the source validity. the VN1610 car is taken as an example to carry out the field experiment, and the high load performance of CAN bus is verified. the experiment proves that the security communication protocol constructed by SM2 and SM3 encryption methods can reach the data transmission rate of the gateway in terms of computing time. the calculation processes of power-up initialization, public key pair generation, key export, SM2 encryption and encryption of TBOX and PEPS are obtained based on SaleaeLogic8 software. It is found that the high time of SM2 encryption and encryption is mainly due to the complexity of SM2 algorithm itself and the excessive computing overhead of MIARCL. © 2024 IEEE.

关键词： Gateways (computer networks)

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Research on the application of Big data in University's Public Opinion Monitoring and Processing 22

Research on the Application of Big Data in University's Publ...

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5th International conference on Big data and Education, ICBDE 2022

作者： Cai, Mingjun Sam, Francis Asante Boadi, Evans School of Marxism University of Electronic Science and Technology of China China School of Information and Software Engineering University of Electronic Science and Technology of China China Business Management Programme Chengdu University of Technology Oxford Brookes University Sino-British Collaborative Education Chengdu China

ISBN: (纸本)9781450395793

Higher educational institutions rely on reputation to attract and earn the legitimacy of the public. However, the emerging trend of public misinformation due to the chunk of information available on the internet affects public opinion formation (POF) about universities. therefore, narrowing down on the fallouts in POF can provide evidence for managerial and policy interventions. this paper explores five-layer POF and its application with big data in university public opinion monitoring and processing. It reveals that big data technology can be actively employed to safeguard the image of university public opinion formation, but this can be inhibited by the lack of commitment to integrating multiple stakeholders on a common platform, privacy, and security concerns. the paper recommends collaboration between universities and the government to increase momentum on big data with requisite actions for mutual benefits. © 2022 acm.

关键词： Big data

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PacketChain: A Blockchain-inspired Method for Enhanced security of Packet Communication of Highly Constrained IoT Wearable Devices 5

PacketChain: A Blockchain-inspired Method for Enhanced Secur...

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5th International conference on Control, Communication and Computing, ICCC 2023

作者： Nair, Gouri Kottayam Kerala Palai India

ISBN: (纸本)9798350334128

Internet of things (IoT) is one of the emerging technologies that play a central role in developing Industry 4.0. IoT has significant potential to revolutionize various industries by integrating connected devices, allowing for improved efficiency and automation. However, the widespread adoption of wearable IoT devices has also increased security concerns, particularly regarding personal data and privacy. Ensuring security for highly resource-constrained IoT devices, such as wearable devices, is paramount for our safety. Due to the device-level constraints and highly limited resources of IoT devices, traditional cyber privacy and security solutions are unsuitable for many IoT applications and systems. the concept of Blockchain, which forms the foundation of distributed ledger and cryptocurrency, is a potential candidate for enhancing the communication security of IoT. We propose PacketChain, a Blockchain-inspired method for ensuring packet transmission security for highly constrained wearable IoT devices. the proposed PacketChain method provides an additional security mechanism complementing the current cryptographic approaches and solutions used by IoT devices. PacketChain provides an application layer solution where one packet's hash value is included in the subsequent packet, thereby, creating a chain of packets. Using PacketChain, many attacks can be quickly detected and avoided. PacketChain is designed at low complexity and overhead, and highly resource- constrained wearable IoT devices can use it. We implement the PacketChain solution and experimentally found its suitability in IoT applications. PacketChain can avoid or reduce the impact of several cyber attacks, such as packet drop, packet fake, TCP header hijack, and packet replay attacks which are major types of man-in-the-middle attacks. © 2023 IEEE.

关键词： Internet of things

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A systematic study on the application of computer multimodal discourse analysis in English educational assessment 5

A systematic study on the application of computer multimodal...

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5th International conference on Computers, Information Processing and Advanced Education, CIPAE 2024

作者： Wei, Yuanyuan Nantong Institute of Technology Jiangsu Nantong China

ISBN: (纸本)9798331527662

this paper explores the innovative application of computer multimodal discourse analysis technology in English education assessment, aiming to provide a scientific basis and technical support for accurate evaluation of English teaching effectiveness. Multimodal discourse analysis integrates text, speech, image, and other channels, which is still in its exploratory phase in educational evaluation. the study reviews multimodal learning theory and computer-assisted language learning (CALL), highlighting potential and challenges. It introduces a multimodal analysis system framework incorporating natural language processing (NLP), speech recognition (ASR), sentiment analysis, and computer vision. this system comprehensively captures language expression, pronunciation accuracy, and non-verbal behavior (like facial expressions), enabling holistic assessment of learners' language abilities. Case studies validate the system's effectiveness, particularly in identifying learning gaps and emotional responses. Ethical considerations, including data privacy and cross-cultural adaptability, are discussed, emphasizing the need for ethical principles and technical standards in multimodal evaluation. In conclusion, multimodal discourse analysis enriches English education assessment, offering insights that deepen understanding of learning processes, inform teaching strategies, and support personalized learning development. Future research should focus on optimizing algorithms, enhancing system intelligence, and exploring broader application scenarios to advance English education assessment modernization. © 2024 IEEE.

关键词： Contrastive Learning

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5th International conference on Science of Cyber security, SciSec 2023

5th International Conference on Science of Cyber Security, S...

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5th International conference on Science of Cyber security, SciSec 2023

ISBN: (纸本)9783031459320

the proceedings contain 30 papers. the special focus in this conference is on Science of Cyber security. the topics include: Enhancing the Anti-steganalysis Ability of Image Steganography via Multiple Adversarial Networks;An Empirical Study of AI Model’s Performance for Electricity Load Forecasting with Extreme Weather Conditions;AST2Vec: A Robust Neural Code Representation for Malicious PowerShell Detection;real-Time Aggregation for Massive Alerts Based on Dynamic Attack Granularity Graph;decompilation Based Deep Binary-Source Function Matching;event-Based threat Intelligence Ontology Model;optimally Blending Honeypots into Production Networks: Hardness and Algorithms;webMea: A Google Chrome Extension for Web security and privacy Measurement Studies;quantifying Psychological Sophistication of Malicious Emails;domainIsolation: Lightweight Intra-enclave Isolation for Confidential Virtual Machines;SVFL: Secure Vertical Federated Learning on Linear Models;Multiprime Strategies for Serial Evaluation of eSIDH-Like Isogenies;adaptively Secure Constrained Verifiable Random Function;a Robust Reversible data Hiding Algorithm Based on Polar Harmonic Fourier Moments;vaultBox: Enhancing the security and Effectiveness of security Analytics;Two-Stage Anomaly Detection in LEO Satellite Network;Hydra: An Efficient Asynchronous DAG-Based BFT Protocol;redactable Blockchain in the Permissioned Setting;A Multi-level Sorting Prediction Enhancement-Based Two-Dimensional Reversible data Hiding Algorithm for JPEG Images;research on Encrypted Malicious 5G Access Network Traffic Identification Based on Deep Learning;keeping Your Enemies Closer: Shedding Light on the Attacker’s Optimal Strategy;a Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional Network;cyber Attacks Against Enterprise Networks: Characterization, Modeling and Forecasting;MCVDSSE: Secure Multi-client Verifiable Dynamic Symmetric Searchable Encryption;a Graphical Password Scheme Based on Roun

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Manufacturing data privacy Protection System for Secure Predictive Maintenance 5

Manufacturing Data Privacy Protection System for Secure Pred...

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5th International conference on data Science and Information Technology, DSIT 2022

作者： Ao, Yuan Jiang, Yuchen State Key Laboratory of Information Security Institution of Information Engineering Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences School of Cyber Security Beijing China University of Nebraska Lincoln College of Engineering School of Computing Nebraska United States

ISBN: (数字)9781665498685

ISBN: (纸本)9781665498685

In Industry 4.0 technology of industrial equipment is becoming more and more complex as physical-digital systems are combined to form a new industrial phase. the complexity of the equipment affects the frequency of equipment failures, and to avoid failures we need to predict the health of the equipment. We found that PdM is the most effective health prediction, but it has the challenges of data security and data availability. To address this aspect, we design and develop a manufacturing data privacy protection system (MDPPS). data are collected by smart sensors and then encrypted. After that, machine learning models are used to extract features and predict the remaining useful life of the industrial equipment. Finally, the predicted results will help workers to carry out maintenance activities. the performances of the MDPPS achieve an average of 87.40% Accuracy, 95.57% Precision, 77.74% Recall, and 83.86% F1-Score. © 2022 IEEE.

关键词： Machine learning

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Efficient Zero-Knowledge Proofs on Signed data with applications to Verifiable Computation on data Streams 22

Efficient Zero-Knowledge Proofs on Signed Data with Applicat...

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28th acm SIGSAC conference on Computer and Communications security, CCS 2022

作者： Fiore, Dario Tucker, Ida Imdea Software Institute Madrid Spain

ISBN: (纸本)9781450394505

We study the problem of privacy-preserving proofs on streamed authenticated data. In this setting, a server receives a continuous stream of data from a trusted data provider, and is requested to prove computations over the data to third parties in a correct and private way. In particular, the third party learns no information on the data beyond the validity of claimed results. A challenging requirement here, is that the third party verifies the validity with respect to the specific data authenticated by the provider, while communicating only with the server. this problem is motivated by various application areas, ranging from stock-market monitoring and prediction services;to the publication of government-ran statistics on large healthcare databases. All of these applications require a reliable and scalable solution, in order to see practical adoption. In this paper, we identify and formalize a key primitive allowing one to achieve the above: homomorphic signatures which evaluate non-deterministic computations (HSNP). We provide a generic construction for an HSNP evaluating universal relations;instantiate the construction;and implement a library for HSNP. this in turn allows us to build SPHINX: a system for proving arbitrary computations over streamed authenticated data in a privacy-preserving manner. SPHINX improves significantly over alternative solutions for this model. For instance, compared to corresponding solutions based on Marlin (Eurocrypt'20), the proof generation of SPHINX is between 15× and 1300× faster for various computations used in sliding-window statistics. © 2022 acm.

关键词： privacy-preserving techniques

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