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检索条件"任意字段=6th International Conference on Future Data and Security Engineering, FDSE 2019"

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6th international conference on future data and security engineering, fdse 2019

6th International Conference on Future Data and Security Eng...

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6th international conference on future data and security engineering, fdse 2019

ISBN: (纸本)9783030356521

the proceedings contain 54 papers. the special focus in this conference is on future data and security engineering. the topics include: Computing History-Dependent Schedules for Processes with Temporal Constraints;finding All Minimal Maximum Subsequences in Parallel;OCL2PSQL: An OCL-to-SQL Code-Generator for Model-Driven engineering;framework for Peer-to-Peer data Sharing over Web Browsers;efficiently Semantic-Aware Pairwise Similarity: an Applicable Use-Case;lower Bound on Network Diameter for Distributed Function Computation;a Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification;age and Gender Estimation of Asian Faces Using Deep Residual Network;Light-Weight Deep Convolutional Network-Based Approach for Recognizing Emotion on FPGA Platform;a New Test Suite Reduction Approach Based on Hypergraph Minimal Transversal Mining;metagenome-Based Disease Classification with Deep Learning and Visualizations Based on Self-organizing Maps;On Analyzing the Trade-Off Between Over-Commitment Ratio and Quality of Service in NFV datacenter;dynamic data Management Strategy on Cloud Network by Fog Computing Model;openness in Fog Computing for the Internet of things;A Top-Down Scheduling for Time Efficient data Aggregation in WSNs;a New Technique to Improve the security of Elliptic Curve Encryption and Signature Schemes;a Visual Model for Privacy Awareness and Understanding in Online Social Networks;A Method to Enhance the security Capability of Python IDE;studying Machine Learning Techniques for Intrusion Detection Systems;enforcing Access Controls in IoT Networks;machine Learning Based Monitoring of the Pneumatic Actuators’ Behavior through Signal Processing Using Real-World data Set;adventures in the Analysis of Access Control Policies.

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2nd international conference on future data and security engineering, fdse 2015 and 9th international conference on Advanced Computing and Applications ACOMP 2015

2nd International Conference on Future Data and Security Eng...

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2nd international conference on future data and security engineering, fdse 2015 and 9th international conference on Advanced Computing and Applications ACOMP 2015

ISBN: (纸本)9783662541722

the proceedings contain 6 papers. the special focus in this conference is on future data and security engineering. the topics include: User-centered design of geographic interactive applications;applying data analytic techniques for fault detection;protecting biometrics using fuzzy extractor and non-invertible transformation methods in Kerberos authentication protocol;parallel learning of local SVM algorithms for classifying large datasets;contractual specifications of business services;modeling, formalization, proximity and energy-saving virtual machine scheduling in cloud computing with fixed interval constraints.

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4th international conference on future data and security engineering, fdse 2017

4th International Conference on Future Data and Security Eng...

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4th international conference on future data and security engineering, fdse 2017

ISBN: (纸本)9783662588079

the proceedings contain 7 papers. the special focus in this conference is on future data and security engineering. the topics include: On semi-supervised learning with sparse data handling for educational data classification;logistic regression methods in selected medical information systems;mapping requirements specifications into a formalized blockchain-enabled authentication protocol for secured personal identity assurance;gait recognition with multi-region size convolutional neural network for authentication with wearable sensors;agile software engineering methodology for information systems’ integration projects;effectiveness of object oriented inheritance metrics in software Reusability;security analysis of administrative role-based access control policies with contextual information;Metamorphic malware detection by PE analysis with the longest common sequence;a steganography technique for images based on wavelet transform;Estimating the assessment difficulty of CVSS environmental metrics: An experiment;activity recognition from inertial sensors with convolutional neural networks;accuracy improvement for glucose measurement in handheld devices by using neural networks;towards a domain specific framework for wearable applications in internet of things;development and implementation of a web application for the management of data recorded by a carbon monoxide sensor;Privacy-aware data analysis middleware for data-driven EHR systems;an exact consensus-based network intrusion detection system;binary tree based deterministic positive selection approach to network security;application of rough sets to negative selection algorithms;focusing on precision- and trust-propagation in knowledge processing systems;MITIS - An insider threats mitigation framework for information systems;fast top-q and top-k query answering;integrating knowledge-based reasoning algorithms and collaborative filtering into e-learning material recommendation system.

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7th international conference on future data and security engineering, fdse 2020

7th International Conference on Future Data and Security Eng...

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7th international conference on future data and security engineering, fdse 2020

ISBN: (纸本)9783030639235

the proceedings contain 26 papers. the special focus in this conference is on future data and security engineering. the topics include: A Comparative Study of Join Algorithms in Spark;blockchain-Based Forward and Reverse Supply Chains for E-waste Management;a Pragmatic Blockchain Based Solution for Managing Provenance and Characteristics in the Open data Context;OAK: Ontology-Based Knowledge Map Model for Digital Agriculture;A Novel Approach to Diagnose ADHD Using Virtual Reality;a three-Way Energy Efficient Authentication Protocol Using Bluetooth Low Energy;clustering-Based Deep Autoencoders for Network Anomaly Detection;flexible Platform for Integration, Collection, and Analysis of Social Media for Open data Providers in Smart Cities;post-quantum Digital-Signature Algorithms on Finite 6-Dimensional Non-commutative Algebras;data Quality for Medical data Lakelands;malicious-Traffic Classification Using Deep Learning with Packet Bytes and Arrival Time;detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning;understanding the Decision of Machine Learning Based Intrusion Detection Systems;combining Support Vector Machines for Classifying Fingerprint Images;toward an Ontology for Improving Process Flexibility;sentential Semantic Dependency Parsing for Vietnamese;An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting;authorization Policy Extension for Graph databases;A Model-Driven Approach for Enforcing Fine-Grained Access Control for SQL Queries;on Applying Graph database Time Models for security Log Analysis;integrating Web Services in Smart Devices Using Information Platform Based on Fog Computing Model;adaptive Contiguous Scheduling for data Aggregation in Multichannel Wireless Sensor Networks;relating Network-Diameter and Network-Minimum-Degree for Distributed Function Computation;growing Self-Organizing Maps for Metagenomic Visualizations Supporting Disease Classification.

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Federated Learning in Big data with IoT for Intrusion Detection 6

Federated Learning in Big Data with IoT for Intrusion Detect...

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6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Govindaram, Anitha Prasath, J.S. Suganya, A. Jayasakthi, K. Rajkumar, N. Jose Anand, A. Thandalam Chennai602105 India Department of Computer Science and Engineering Sapthagiri NPS University Chikkasandra Karnataka Bengaluru560057 India Department of Artificial Intelligence and Data Science Anand Institute of Higher Technology Kazhipattur Tamil Nadu Chengalpattu603103 India Department of ECE KCG College of Technology Karapakkam Tamil Nadu Chennai600097 India Department of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Thiruvalluvar Tamil Nadu Avadi600062 India

ISBN: (纸本)9798331522667

Artificial Intelligence (AI) part of Federated Learning (FL) builds on distributed data and modelling to deliver learning to the edge of the device. Even though FL has been celebrated as the beginning of AI, it has not yet gained mainstream adoption, mostly because of concerns about privacy and security. security and privacy issues with the FL technique need to be found, examined, and recorded before at this point, we can expect to see significant progress in this field of study or widespread adoption of the FL approach. this article aims to afford a complete review of the methods discussed with FL for huge data by introducing studies from six angles: blockchain, privacy, hybrid approach, VFL, FL, and foundation design and device heterogeneity. this survey can address the challenges of FL, offer their predictions for the future of research on the subject, outline how FL is now being put to use in the real world, and with most salient features. © 2025 IEEE.

关键词： Federated learning

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Quantum-Driven Hybrid Network Architecture Leveraging 5G for High-Speed and Resilient data Transmission 6

Quantum-Driven Hybrid Network Architecture Leveraging 5G for...

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6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Kumar, Kusuma Ashok Mohandas, R. Suneel, Sajja Mahalakshmi, M.R. Kumar, Avinash Singh, Manmohan Department of Physics B V Raju Institute of Technology Medak District Telangana state Narsapur502313 India Chennai Institute of Technology Chennai India Institute of Aeronautical Engineering Dundigal Telangana Hyderabad500043 India Department of ECE Sri Muthukumaran Institute of Technology Tamil Nadu Chennai600 069 India Department of Computer Science and Engineering IES College of Technology Bhopal India

ISBN: (纸本)9798331522667

the integration of quantum communication principles with 5G technology presents a groundbreaking approach to addressing the growing demand for high-speed, secure, and resilient communication systems. this paper proposes a Quantum-Driven Hybrid Network Architecture that leverages Quantum Key Distribution (QKD) for unparalleled security and combines it with 5G's ultra-fast data transmission capabilities. the architecture integrates key components such as QKD modules, 5G infrastructure, and edge computing, organized into a layered framework comprising quantum, network control, and application layers. Simulation results demonstrate significant improvements in throughput (up to 23.5%), latency reduction (up to 25%), and error rate reduction in high-noise environments (from 0.25% to 0.05%). the proposed system also exhibits enhanced security, achieving a 100% success rate in mitigating eavesdropping and man-in-the-middle attacks. Using resource-efficient mechanisms, the hybrid network achieves an overall accuracy of 97.8% in secure and resilient data transmission. this work validates the potential of quantum-enhanced 5G systems to meet the challenges of future communication networks. © 2025 IEEE.

关键词： Quantum communication

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Comprehensive IoT-based Vehicle security: License Verification and Biometric Authentication 6

Comprehensive IoT-based Vehicle Security: License Verificati...

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6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Teradal, Rahul J. Chougule, Sakshi J. Chopade, Sanika N. Chougule, Abhishek B. Dalal, Virupaxi Atiwadkar, Samiksha S. Department of ECE Jain College of Engineering and Research Belagavi India

ISBN: (纸本)9798331522667

Vehicle robbery is becoming a global issue worldwide due to the lack of safety measures to keep unwanted access to people. the following article presents a detailed IoT-based vehicle security system that includes License verification and biometric authentication to improve vehicle security in two steps. the system consists of an RFID technique for verification of License, fingerprint sensor methodology for biometric authentication, and a keypad for emergency access. Upon tapping the License reader, EM18, following a successful License verification. After processing the data, the system outputs "License Valid" or "License Invalid" on an LCD. the proposed system continues if the License is valid;otherwise, it terminates. After verifying License cards, it checks user fingerprints against the database, displaying "Fingerprint valid" for matches and "Fingerprint not valid" for unregistered users. the system terminates if the fingerprint is not valid. When these two security layers are successfully verified, Arduino sends a message to the relay module that controls the vehicle's ignition. through this IoT-based technology, the overall vehicle security can be improved through two-factor authentication. According to these results, the average command execution time is less than 7 sec, 96% efficient in fingerprint authentication, and 91 valid scans per 100. the overall system achieved 98.5% total accuracy of the system. future research may add a GSM module for quick alerts and real-time monitoring. © 2025 IEEE.

关键词： Radio frequency identification (RFID)

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Optimized Predictive Modelling for Chronic Kidney Disease: A Hybrid Ensemble Approach with Bacterial Foraging Optimization and SMOTE 6

Optimized Predictive Modelling for Chronic Kidney Disease: A...

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6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Pavan Kumar, V.S. Yadla, Jyothi Parvatham, Niranjan Kumar Lokesh Kumar, P. Tulluri, Usha Amrutha, K. Department of CSE-AIML MLR Institute of Technology Hyderabad India Department of CSE Sir C R Reddy College of Engineering Eluru India Department of CSE CVR College of Engineering Hyderabad India Department of CSE-Cyber Security CMR Engineering College Hyderabad India Bhimavaram India

ISBN: (纸本)9798331522667

Chronic kidney disease is a disease with obvious seriousness of severity. It can cause more severe complications if it further develops, so early diagnosis is very important for disease control and the improvement of the patient’s prognosis. the main goal of this paper is to achieve a novel high-accuracy predictive model for CKD diagnosis through data preprocessing, feature selection, and ensemble modeling. Feature selection is carried out in the research using the Bacterial Foraging Optimization Algorithm (BFO), which optimizes model efficiency and improves accuracy through the exclusion of several non-informative features while taking into consideration significant predictors such as blood pressure and albumin levels. Preprocessing of the data is done by addressing issues of class imbalance by applying the SMOTE method and outliers by applying the IQR method, guaranteeing the provision of quality data set input. the present study adopts AdaBoost and XGBoost in an ensemble form with an accuracy of 98.21%, precision of 1.0000, recall of 0.9000, and an F1 score of 0.9474. As shown in these metrics, the proposed model is stable and can be used in clinical practice. Consequently, the results of this study show that more advanced feature selection integrated with ensemble techniques improves the model’s accuracy for CKD prediction, making it possible to design a tool for early diagnosis of CKD. future work will be concerned with testing the observed model on various datasets and more importantly – investigating the possibilities for using real-time clinical data, which will allow considering this approach as effective in practice. © 2025 IEEE.

关键词： Clinical research

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Leveraging Blockchain Technology for Secure and Efficient Smart City Applications 6th

Leveraging Blockchain Technology for Secure and Efficient Sm...

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6th international conference on Intelligent Communication, Control and Devices, ICICCD 2024

作者： Singh, Tanu Panwar, Arvind Sharma, Neha Sugandh, Urvashi Singh, Manu School of Computer Science UPES Uttarakhand Dehradun India School of Computing Science and Engineering Galgotias University Greater Noida India Bharati Vidyapeeth’s College of Engineering New Delhi India

ISBN: (纸本)9789819783281

the revolution of growing urban population and complicity of the city’s vast amounts of operations has resulted in the establishment of a smart city—one that utilizes the current state-of-the-art technology to enhance the quality of life of the consumers and streamline the use of its resources. However, the smart city faces significant security, privacy, and trust issues due to numerous interconnected systems handling vast amounts of sensitive data. Blockchains developed as a decentralized, transparent, and immutable technology, can solve these issues and revolutionize the vast number of applications of contemporary smart cities. this paper outlines how blockchains can form a basis for the secure and effective deployment of multiple smart city solutions, covering a diverse set of applications, including data management, energy trading, transportation, waste handling, and digital identity. It explains the advantages that blockchains offer, which include increased security, transparency, efficiency, and decentralized decision-making. At the same time, the paper highlights the existing challenges and considerations with the adoption of blockchain for smart cities, such as lack of scalability and regulation, insufficient interoperability, high energy consumption, and low public awareness. Finally, it provides recommendations for their successful deployment and stresses the need for future research and cooperation to enable the full potential of blockchains for safe, effective, and user-driven smart cities. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Blockchain data management Decentralization Efficiency security Smart cities

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Modernized Ration Distribution System with Integrated Mobile Accessibility 6th

Modernized Ration Distribution System with Integrated Mobile...

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6th international conference on Intelligent Communication, Control and Devices, ICICCD 2024

作者： Prabhu, V. Dharshini, R. Janani, T. Jyothi Priya, V. Ruban thomas, D. Department of ECE Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai India

ISBN: (纸本)9789819783281

this paper presents a novel approach to modernizing the ration distribution system (RDS) by integrating mobile technology, aiming to tackle challenges related to efficiency, accessibility, and transparency. Leveraging mobile applications, SMS notifications, and real-time data analytics, the system facilitates seamless communication between beneficiaries, government agencies, and distribution centers. Key features include biometric authentication, real-time information updates, and secure payment options. the innovative hardware setup, utilizing microcontroller technology and load cells, enhances accuracy and efficiency in ration distribution. Pilot testing has demonstrated the system's effectiveness and garnered positive user feedback, indicating significant improvements over existing systems. future research could focus on scalability, additional features such as multilingual support, and integration with government databases. Further advancements, including machine learning and blockchain technologies, hold potential for enhancing system functionality and security, ultimately contributing to improved social welfare and equitable access to essential resources. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Economic and social effects

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