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Ensuring Electronic Health Record (EHR) Privacy using Zero Knowledge Proofs (ZKP) and Secure Encryption Schemes on Blockchain 5

Ensuring Electronic Health Record (EHR) Privacy using Zero K...

引用

5th International Conference on Advancements in Computing, ICAC 2023

作者： Ranaweera, T.A.V.Y. Hewage, H.N.H. Hapuhinna, H.K.D.W.M.C.B. Preethilal, K.L.K.T. Senarathne, Amila Ruggahakotuwa, Laneesha Sri Lanka Institute of Information Technology Dept. Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350358131

In the haste of EHR digitization, the protection of patient data becomes paramount, casting a spotlight on small healthcare clinics grappling with the threats of an ever more interconnected healthcare sector. That is due to the existing centralized system and traditional password-based authentications which cause a single point of failure. Besides this patient consent for EHR sharing is narrowed to a one-time consent. To overcome these problems, this study suggests a robust solution that makes data sharing utilizing blockchain while achieving privacy using web-based Zero Knowledge Proofs (ZKP) authentication and Homomorphic Encryption (HE). The research also considers securely outsourcing EHRs to research organizations to improve data exchange for research purposes. Along with patient-controlled encryption, consent control, and time-limited data access, it also explores dynamic consent management while complying with healthcare standards. Lastly, this study stream-lines secure data sharing with insurance providers while ensuring patient privacy and defending against insurance fraud. © 2023 IEEE.

关键词： Blockchain

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Does Sri Lanka Have a Good Maritime Strategy to Stop Cyber-Terrorist Attacks 14

Does Sri Lanka Have a Good Maritime Strategy to Stop Cyber-T...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Samaraweera, S.A.R.P. Siriwardana, S.M.D.N. Fernando, W.D.V. Rajakarunaratne, D.N. Sri Lanka Institute of Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350335095

Maritime cyber-terrorist attacks have become a major concern to the entire world in recent decades. Everyone should be more aware of marine strategies to prevent cyberterrorist attacks, both locally and globally. This study investigates how Sri Lanka and the Sri Lanka Navy (SLN) may successfully address maritime security concerns by utilizing current resources and developing a marine strategy to counter such maritime cyber-terrorism assaults. The literature review in this thesis primarily evaluates the level of understanding in Sri Lanka concerning when marine cyber terrorism strikes may occur. Furthermore, this thesis investigates if Sri Lanka has any maritime rules and regulations. The use of such laws and regulations will concentrate on how they can increase their expertise. © 2023 IEEE.

关键词： Cybersecurity

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KinderEye: Kindergarten Child Performance Monitoring System 9

KinderEye: Kindergarten Child Performance Monitoring System

引用

9th International Conference on computer and Communication engineering, ICCCE 2023

作者： Rathnayaka, B. Rabel, W.T.S. Namasingha, C.N.W. Hettiarachchi, H.D. Hansika, Mahaadikara M.D.J.T. Wellalage, Sasini Nuwanthika Sri Lanka Institute of Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350325218

Kindergarten is the most important beginning of a child's formal education. Since the brain is rapidly developing in early childhood, a lack of brain development at kindergarten can create a weak foundation for learning, health, and behavioral problems throughout life. Digital learning and monitoring applications for young children are widely available but often lack opportunities for physical engagement, which can negatively impact executive function development. In this paper, we introduce a system for continuously monitoring mental development in terms of working memory, decision-making ability, language skills, and likelihood of having ADHD. The system consists of three physically playable games that collect performance data from digital sensors and encourage children to be involved in physical activities while increasing enthusiasm for evaluations. Continuous performance measurement allows teachers and parents to know the development of children and guide them or direct them to have suitable medical treatments. Memory development evaluation is done from the button-pressing game which allows giving inputs according to a pattern previously indicated. For decision-making ability measurement, we are using a remote controllable robot and maze in which children navigate the robot toward the winning point of the maze. Language development is measured by giving several activities through an attractive device that measures listening, speaking, reading, and writing. Furthermore, checking ADHD is done by lively tracking child behavior from a camera while playing a game and invalid game inputs. © 2023 IEEE.

关键词： Decision making

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Auto Disturbance Rejection Control Based on A Neural Network Predictive State Observer 15

Auto Disturbance Rejection Control Based on A Neural Network...

引用

15th International Conference on Intelligent Human-Machine systems and Cybernetics, IHMSC 2023

作者： Du, Shengzhi Van Wyk, B.J. Nahri, N.F.S. Tu, Chunling Tshwane University of Technology Dept. Electrical Engineering Pretoria South Africa Tshwane University of Technology Dept. Computer Systems Engineering Pretoria South Africa

ISBN: (纸本)9798350326178

This paper addresses the auto disturbance rejection control (ADRC) for systems with time delay. ADRC is an effective control for most linear or nonlinear systems with noises and disturbances, because of its advantage on disturbance estimation and compensation. The extended state observer (ESO) is a critical component of ADRC. However, this observer is usually designed for systems without time delay. The time delay in a system could lead the ADRC unstable when the phase delay of the response cannot be ignored. This paper proposes a neural network based predictive state observer (NNPSO) to predict the response of systems with time delay. The simulation results validate the proposed method when systems with time delay are controlled. © 2023 IEEE.

关键词： Time delay

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Deeper Anomaly Detection in Industrial Automation

Deeper Anomaly Detection in Industrial Automation

引用

IEEE Annual Computing and Communication Workshop and Conference (CCWC)

作者： Ho-Seok Jung Sung Won Jang Youngmi Baek Dept. of Computer Software Engineering Changshin University Korea Dept. of Computer Engineering Changshin University Korea

ISBN: (数字)9798331507695

ISBN: (纸本)9798331507701

The security of industrial networks, particularly in industrial automation systems, is critical for ensuring system reliability and protecting sensitive data. This paper proposes a deeper anomaly detection system using the ResNet34 (Residual Network) model to identify and detect cyber-attacks in industrial networks, specifically focusing on Controller Area Network (CAN) systems. The study highlights the vulnerabilities in industrial communication protocols, such as CAN, Modbus, and Ethernet/IP, which are susceptible to cyber-attacks including replay, modification, and fuzzing attacks. These attacks can disrupt the functioning of industrial systems and cause significant damage. Experimental results show that the proposed model achieves a 100 % detection rate for all types of cyber-attacks, demonstrating its effectiveness in recognizing abnormal patterns and responding to changes in network behavior. The results confirm that the ResNet34-based deep anomaly detection model can be a valuable tool for strengthening the security of industrial networks by providing real-time detection of cyber-attacks, thereby ensuring the stability and safety of industrial automation systems.

关键词： Automation Stability analysis Real-time systems Safety Controller area networks Security Reliability Cyberattack Anomaly detection Residual neural networks

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Enhancing Communication through Speech to Sign Language Converter 2

Enhancing Communication through Speech to Sign Language Conv...

引用

2nd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2023

作者： Gayana, M.N. Rumaiz, Mohammed Hussain, Shaz Rasheed Shravya, A. Acharya, Shreenath Parveen, Sana Systems St Joseph Engineering College Dept. of Intelligent Computing & Business Mangaluru India St Joseph Engineering College Dept. of Computer Science and Engineering Mangaluru India

ISBN: (纸本)9798350314045

There are millions of people suffering from speaking and hearing disabilities. Sign language is the only way to communicate for such people to convey their message. The advancement in technology has highly impacted this section of society, hence there is a need to deal with them. This paper describes the Application, "Speech to Sign Language Converter"for communicating with people having hearing and speaking impairments. The primary function of the Application is to convert input sentences into Indian Sign Language (ISL) actions in real time. It takes input in the form of speech or text and produces corresponding sign language using an Avatar which acts based on SiGML code. It can also be used to convert PDF based texts into sign language. In addition, the users can learn Indian Sign Language (ISL) using the tutorials provided within it. The application focuses mainly on converting local languages such as Kannada into ISL. © 2023 IEEE.

关键词： Audition

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Exploring Relationships among Bitcoin's Market Price, Energy Consumption and Carbon Dioxide Emissions: A Machine Learning Approach 1

Exploring Relationships among Bitcoin's Market Price, Energy...

引用

1st IEEE Karachi Section Humanitarian Technology Conference, Khi-HTC 2024

作者： Jamali, Aadil Ali, Najma Imtiaz Brohi, Imtiaz Ali Kanasro, Nadeem Ahmed Murad, Muhammad Umar Jamali, Asad Ali University of Sindh IMCS Jamshoro Pakistan Government College University Dept. of Computer Science Hyderabad Pakistan Istanbul Aydin University Dept. of Software Engineering Istanbul Turkey University of Essex Dept. of Economics Colchester United Kingdom

ISBN: (纸本)9798350373042

The cryptocurrency boom has resulted in a substantial rise in energy usage and carbon emissions. The mining process of Bitcoin is notorious for its energy intensive process because it requires huge computational power. The carbon footprint of Bitcoin mining is a growing concern that's why we have to analyze the number of CO2 emissions resulting from the mining procedure. In this study, we have utilized machine learning techniques to examine the number of CO2 emissions generated by Bitcoin mining, analyzed the correlations between Bitcoin price, electricity consumption, and CO2 emissions, and pinpoint the factors during the process of Bitcoin mining that leads to CO2 emissions. We gathered global data set on Bitcoin electricity consumption, prices, and CO2 emissions. We trained supervised machine learning model (Regression) in Python to analyze and investigate the data. Our research findings have great implications for policymakers and researchers worried about the impact of the latest technologies on the environment, and in future Bitcoin policies and practices;they should prioritize sustainability and reduce the carbon footprint of mining operations. In the end, our research will provide valuable insights into the environmental impact of Bitcoin mining, highlight the factors that cause CO2 emissions and underscored the need for further research and action to reduce the carbon footprint of cryptocurrencies. © 2024 IEEE.

关键词： Carbon footprint

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Application to Enhance the Programming Knowledge of Children 6

Application to Enhance the Programming Knowledge of Children

引用

6th International Conference on Advancements in Computing, ICAC 2024

作者： Dissanayake, Anuga Lakpriya, Vishwa Sanjeevan, Mahendran Fahmi, Ahamed Siriwardana, Samanthi E.R. Samaraweera, Mihiri Sri Lanka Institute of Information Technology Dept. of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798331517878

This proposal outlines the development of a comprehensive educational platform aimed at bridging the Information Technology knowledge gap among Tamil-speaking students in Sri Lanka. The platform is designed to enhance programming skills through personalized quizzes, hands-on projects, and adaptive learning models. The application focuses on two primary components: the first component emphasizes project-based learning and assessments, leveraging advanced Artificial Intelligence models for generating educational content. This model is combined with Retrieval-Augmented Generation, which retrieves relevant external information to refine and tailor the educational content to each student's needs. This component keeps students engaged and challenged at appropriate levels, promoting deeper understanding and practical Information Technology skills. The second component involves a Level-based IT Fundamental Knowledge Evaluation system, which incorporates machine learning algorithms to predict student performance, recommend customized learning paths, and assess overall technical knowledge. The platform also integrates the OpenAI Application Programming Interface, which provides real-time Tamil translation, making the content more accessible to the target demographic. The platform empowers educators to better address individual student needs with real-time feedback and tailored experiences. Its innovative approach enhances Information Technology education, equipping Sri Lankan students with essential programming skills to succeed globally. © 2024 IEEE.

关键词： Adversarial machine learning

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A New Configurable SC-based Dual Source Inverter Topology with Improved Reliability

A New Configurable SC-based Dual Source Inverter Topology wi...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Anees, Mohammad Anas Daula Siddique, Marif Mekhilef, Saad Mubin, Marizan Binti Seyedmahmoudian, Mehdi Stojcevski, Alex National University of Singapore Dept. of Electrical and Computer Engineering Singapore University of Malaya Dept. of Electrical Engineering Malaysia Swinburne University of Tech. School of Software and Electrical Engineering. Australia

ISBN: (纸本)9781665471640

This paper presents a novel fifteen-level two-source inverter topology that is reliable against source outages. The topology has two DC sources, a total of ten switches, and four DC-link capacitors. Level-shifted PWM is used to generate the required number of levels. Simulations are performed for normal operation as well as for the source outage conditions. The proposed topology is able to generate multi-level output waveform satisfactorily even at the advent of source outages. The simulation results for the source outages are presented for both static and dynamic conditions along with the THD measurements. © 2023 IEEE.

关键词： dc source failure fault tolerance level shifted PWM multilevel inverters (MLIs) reliability

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Kubernetes Cluster Disaster Recovery Using AWS 7

Kubernetes Cluster Disaster Recovery Using AWS

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2023 7th International Conference On Computing, Communication, Control And Automation, ICCUBEA 2023

作者： Bhavsar, Simran Agrawal, Apoorva Ropalkar, Tanvi Kamdi, Pranjali Hajare, Aparna Deshpande, Shilpa Rathi, Rahul Garg, Devendra Cummins College of Engineering for Women Dept. of Computer Engineering Pune India Veritas Software Technologies India Private Limited Pune India

ISBN: (纸本)9798350304268

As applications in IT have been spanning multiple containers across servers, kubernetes is being used extensively for automating software deployment, scaling and management. Kubernetes eases the container tasks and also other activities like horizontal scaling and canary development. To run cloud-native applications, kubernetes has become the de facto standard for container orchestration, regardless of the underlying platform. This makes it very crucial to have a disaster recovery plan for kubernetes environments. This paper proposes a system for backup and restore of a kubernetes cluster using the snapshot method along with the Public Key Infrastructure (PKI) certificates of a cluster. It also focuses on automating the backup and restore operations using microservices. Furthermore, it makes use of Amazon Web Services (AWS) tools for the reliability, scalability and the automation of backup and restore operations. The user can run the proposed microservices to backup and restore the cluster from any specific timestamp before the disaster. The experimental results demonstrate the effective performance of the proposed method in terms of efficiently restoring the kubernetes cluster in optimal time. © 2023 IEEE.

关键词： Cluster backup Cluster initialization Cluster setup Disaster recovery Kubernetes Master node Restore Worker node

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