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Blockchain-Based Decentralized Application for Telesurgery in Metaverse Environment 14

Blockchain-Based Decentralized Application for Telesurgery i...

引用

14th International conference on Cloud Computing, Data Science and Engineering, Confluence 2024

作者： Chaudhary, Satya Patel, Yogi Chaudhary, Sachi Gupta, Rajesh Kakkar, Riya Tanwar, Sudeep Nair, Anuja Ahmedabad International School Gujarat Ahmedabad380054 India Institute of Technology Nirma University Department of Computer Science and Engineering Ahmedabad382481 India

ISBN: (纸本)9798350344837

With the advent of technology in the medical industry, telesurgery has emerged as a transformative era of conventional medical practices to facilitate remote and efficient surgical procedures for the betterment of patients' health. Moreover, innovative technologies introduce a full-immersive metaverse environment for enabling communication between patients and doctors virtually and efficiently. Nevertheless, remote telesurgery operations in the metaverse are susceptible to various security and privacy issues that need to be tackled to secure the patient's confidential health data. thus, we design an Ethereum blockchain-based decentralized application (DApp) for selecting and conducting telesurgery operations based on the doctors' specialization and type of surgery. the proposed application ensures secure and preserved communication between patient and doctor in the metaverse environment by deploying the smart contract in the Remix Integrated Development Environment (IDE). DApp is designed using web3 and JavaScript (JS) to reflect the telesurgery operations to the doctor and patient in the metaverse environment. Finally, the proposed smart contract for the application is evaluated based on parameters such as gas consumption analysis for smart contract functions and doctors registered and cost analysis for smart contract functions. © 2024 IEEE.

关键词： Smart contract

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Cybersecurity Awareness Assessment Based on Bangladeshi People Perspective Using Machine Learning Approaches 14

Cybersecurity Awareness Assessment Based on Bangladeshi Peop...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Tahmiduzzaman, K.B.M. Zumma, Md. thoufiq Babi, Farzana Kausaruzzaman, Md. Sakib, Nazmus Md.adnan-E-Elahe Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh Bangladesh University of Business &technology Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350335095

the demands placed on cyber security continue to rise. When data is compromised from a company, organization, or individual, we realize how crucial it is to have a basic understanding of cyber security. the company should provide their employees with training on how to stay secure online. In light of the current circumstances, it is very important for everyone. those who have less awareness on it are contributing to a rise in cybercrime. the most significant cyberattack against a developing country. As a result of this, hackers and spammers target individuals in order to execute out attacks, and Bangladesh is vulnerable to an excessive number of attacks on its online and mobile banking transactions. In essence, they apply a social engineering approach in order to get the password. In this study, we gathered data from a survey in which we asked certain questions about fundamental levels of awareness. this research has a total of 456 participants who have answered the questions. In order to get the highest level of accuracy, we employ a machine learning method. © 2023 IEEE.

关键词： Cybersecurity

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Multi-Factor Authentication System With ID Card Credentials For Secure Transactions 14

Multi-Factor Authentication System With ID Card Credentials ...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Vasudev, R. Harini, N. Neethu, M.R. Amrita Vishwa Vidyapeetham Amrita School of Computing Amrita School of Computing Department of Computer Science and Engineering Coimbatore India Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350335095

A physical document that can be utilized to validate a person's identity is known as ID card, usually comes in standard size same as that of credit cards (3.370 inch height and 2.125 inch width).the machine readable identification information within ID card is the primary means of controlling individual access to everything starting from employee areas to special lounges. Transparency level of identification information within the document (ID card) varies from organization to organization. Some uses visible credentials like Barcodes and QR codes while others use RFIDs. Impersonation and the MFA- SYSTEM represents two distinct phases of the project. Former gives a clear-cut idea on how an impersonation attack is carried out by using methods in image processing, computer vision for extracting the visible features and decoding the information from the images or videos recorded using smartphones or surveillance cameras. SURF and SIFT are initially extracted, FLANN for feature mapping and Homography estimation using RANSAC algorithms. Latter one is making a multifactor authentication system that can improve the security of the ID card credentials. the proposed system in phase 1 can is able to successfully locate the position of barcodes and QR codes within the image and successfully decode information within the QR code, phase two helps to solve some of the challenges in authentication like shoulder surfing, securing data in MongoDB, accuracy during storing and retrieval from database etc © 2023 IEEE.

关键词： Authentication

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Applying AI and Machine Learning to Enhance Automated Cybersecurity and Network threat Identification 15

Applying AI and Machine Learning to Enhance Automated Cybers...

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15th International conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2024

作者： Muheidat, Fadi Mallouh, Moayyad Abu Al-Saleh, Omar Al-Khasawneh, Omar Tawalbeh, Loai A. California State University- San BernardinoCA92407 United States Computer Engineering Department Jordan University of Science and Technology Irbid22110 Jordan

Artificial intelligence (AI) is now used in many sectors but its transformative impact on cybersecurity is unmatched. Cybersecurity is seen to rely heavily on artificial intelligence (AI), which has brought about automation of responses, detection of network threats and security consciousness. this paper examines various modern techniques involving deep learning, machine learning and behavior analysis among others that are used in dealing with the increasing number and complexity of cyber threats. the research also looks at how automated cybersecurity response and decision-making capacities have been transformed through AI. It also investigates into security intelligence modeling as a means of offering actionable insights towards strengthening organizational resilience. Additionally, the goal of this paper is to provide a nuanced understanding of how AI is reshaping cybersecurity and to outline future pathways for research and development in this dynamic field. © 2024 the Authors.

关键词： Federated learning

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GSM Based Home security Alarm System Using Arduino Using Mobile Call 14

GSM Based Home Security Alarm System Using Arduino Using Mob...

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14th IEEE Annual Ubiquitous Computing, Electronics and Mobile communication conference, UEMCON 2023

作者： Golder, Aditi Gupta, Debashis Roy, Saumendu Al Ahasan, Md. Abdullah Haque, Mohd Ariful Institute of Information Technology Jahangirnagar University Dhaka Bangladesh Wake Forest University Department of Computer Science North Carolina United States University of Saskatchewan Department of Computer Science Saskatoon Canada University of Regina Department of Computer Science Regina Canada Clark Atlanta University Cyber Physical Systems AtlantaGA United States

ISBN: (纸本)9798350304138

Since criminality is rising in the 21st century, people want to secure their property and belongings. So, everyone in this situation needs a secure system with cutting-edge technology. therefore, a person may go out without worries. this project aims to acquire a home security system that can apply a phone call to the client's GSM (Global System for Mobile) cell phone device and send a message in the shortest amount of time. Our Home security system has been followed by the latest technology at a low cost. In this study, we used the PIR (Passive Infra-Red) movement sensor, the Arduino sensor as the core for movement identification, and the GSM module for dialing the system user, which was used to develop the hardware for this system. this framework uses the Arduino IDE for Arduino and Putty for participating in programming analysis in the GSM unit. the PIR sensor has a crucial function used in this system for the security of any unauthorized individuals and automatically generates calls when neighboring circles intrude and are detected by the PIR sensor. the Integrated Home Safety framework can promptly examine and sense a human's movement. © 2023 IEEE.

关键词： Alarm systems

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Deep Learning Approach to Enhance IDS Accuracy using Hybrid LSTM Algorithm 14

Deep Learning Approach to Enhance IDS Accuracy using Hybrid ...

引用

14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Sehrawat, Sahil Singh, Dinesh Dcrust Murthal Department of Computer Science and Engineering Sonipat India

ISBN: (纸本)9798350335095

In this research, the focus is on safeguarding networks and sensitive data from cyber threats. the study utilizes the UNSW-NB15 dataset to test the effectiveness of machine learning models, specifically BiLSTM models, in creating a reliable intrusion detection system. the dataset provides a more up-to-date and accurate representation of modern cyber attacks. the BiLSTM model, which considers both forward and backward dependencies in sequential data, is employed for detecting and classifying intrusions. the experimental results indicate a promising accuracy of 96.7%, as evaluated using accuracy, recall, and F1-score assessment criteria. this study contributes to the field of intrusion detection by highlighting the potential of deep learning techniques, particularly BiLSTM models, in achieving high accuracy and reliability, thereby enhancing network security and protecting sensitive information. © 2023 IEEE.

关键词： Statistical tests

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Vehicle Number Plate Detection System Using Image Processing Approach 14

Vehicle Number Plate Detection System Using Image Processing...

引用

14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Tushar, N.I. Saikat, Abdullah Rahat-Bin-Rafique, A.A.M. Abedin, Md. Minhajul Tahmiduzzaman, K.B.M. Zumma, Md. thoufiq Bangladesh University of Business and Technology Department of Computer Science and Engineering Dhaka Bangladesh International University of Business Agriculture and Technology Department of Computer Science and Engineering Dhaka Bangladesh Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350335095

the primary method of operation for the vehicle authorization system is the reading and processing of license plates. Automatic Number Plate Recognition (ANPR) is the name given to image processing technology that uses a vehicle's license plate to identify it. In this work, we aim to develop a reliable automatic authorized vehicle identification system that makes use of the license plate. this system is intended to be used in highly restricted military areas like the Supreme Court and Parliament as well as government administration and security control systems. the number plate region in an image is found using image segmentation, which is then used to extract the vehicle's number plate from the image. the highly trained neural network serves as the foundation for the recognition system. A database used for vehicle authorization contains the specific vehicle information. © 2023 IEEE.

关键词： Machine learning

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Explainable Artificial Intelligence in Drones: A Brief Review 14

Explainable Artificial Intelligence in Drones: A Brief Revie...

引用

14th International conference on Information and communication Systems, ICICS 2023

作者： Banimelhem, Omar Al-Khateeb, Baghdad Jordan University of Science and Technology Department of Network Engineering and Security Irbid Jordan Jordan University of Science and Technology Department of Computer Engineering Irbid Jordan

ISBN: (纸本)9798350307870

the lack of clarity of most artificial intelligence algorithms which have many applications has led to the emergence of explainable artificial intelligence (XAI), which includes machine learning algorithms that introduce a clear explanation of learning decisions for human users. In the field of using drones which have recently been expanded in several applications, the drone designers face many challenges due to the weather and the difficulty of making a decision during the flight. therefore, explainable artificial intelligence may play a significant role in these models of unmanned aerial vehicle. this paper presents a brief review for the recent articles that were published in the field of using XAI in drone's applications. © 2023 IEEE.

关键词： Drones

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Research on Ship Automatic Collision Avoidance and Obstacle Avoidance Based on Improved Artificial Potential Field 24

Research on Ship Automatic Collision Avoidance and Obstacle ...

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5th International conference on Artificial Intelligence and computer Engineering, ICAICE 2024

作者： Du, Baisong Yim, Jeong-Bin Ning, Jun Li, Wei School of Naval Architecture and Maritime Zhejiang Ocean University Zhejiang Zhoushan China Department of Maritime AI & Cyber Security Graduate School Korea Maritime and Ocean University Busan Korea Republic of Division of Maritime AI & Cyber Security Korea Maritime and Ocean University Busan Korea Republic of Navigation College Dalian Maritime University Liaoning Dalian China

ISBN: (纸本)9798400718007

To address the issue that the traditional artificial potential field method cannot determine the avoidance responsibility and handle urgent situations in automatic collision avoidance of ships, the ship encounter situation is divided into artificial potential fields. the relative position between ships is used to judge the responsibility of avoiding and limit the measures of avoiding. the collision risk index is computed continuously, and the corresponding threshold is set to determine whether there is an urgent situation, so as to guide ships to take further measures to avoid *** the simulation experiment of three typical situations of head-on, crossing and overtaking, it is shown that the potential field designed in this paper can clearly judge the duty of avoiding and the urgent situation, and the proposed ship avoidance measures adhere more closely to the requirements of the International Regulations for Preventing Collisions at Sea. © 2024 Copyright held by the owner/author(s). Publication rights licensed to acm.

关键词： Risk assessment

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Decentralised Application for Health Insurance management using Blockchain 14

Decentralised Application for Health Insurance management us...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Banate, Harshad Jagtap, Yash Choudhary, Divesh Dhage, Sudhir Sardar Patel Institute of Technology Department of Computer Engineering Mumbai India

ISBN: (纸本)9798350335095

Insurance fraud is a significant problem in the healthcare industry, with various types of fraudulent activities leading to significant financial losses for insurance providers and higher premiums for customers. Examples of insurance fraud in the healthcare industry include billing for services not rendered, falsifying medical records, and phantom billing. Centralized databases and weak security measures have made it challenging to detect and prevent fraudulent activities in the insurance industry. Blockchain technology offers a potential solution to these challenges by providing a secure and decentralized platform that can enhance transparency and reduce the risk of fraud. this research paper suggests employing blockchain technology for identifying and stopping healthcare insurance fraud. Our proposal involves a system built on blockchain that facilitates the secure exchange of patient information among healthcare and insurance providers. the objective is to enhance the protection and confidentiality of patient data while minimizing the potential for fraudulent practices. © 2023 IEEE.

关键词： Blockchain

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