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Message Verification Protocol Based on Bilinear Pairings and Elliptic Curves for Enhanced Security in Vehicular Ad Hoc Networks

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Computers, Materials & Continua 2024年第10期81卷 1029-1057页

作者： Vincent Omollo Nyangaresi Arkan A.Ghaib Hend Muslim Jasim Zaid Ameen Abduljabbar Junchao Ma Mustafa A.Al Sibahee Abdulla J.Y.Aldarwish Ali Hasan Ali Husam A.Neamah Department of Computer Science and Software Engineering Jaramogi Oginga Odinga University of Science and TechnologyBondo40601Kenya Department of Applied Electronics Saveetha School of EngineeringSIMATSChennaiTamilnadu602105India Information Technology Department Management Technical CollegeSouthern Technical UniversityBasrah61004Iraq Department of Computer Science College of Education for Pure SciencesUniversity of BasrahBasrah61004Iraq College of Big Data and Internet Shenzhen Technology UniversityShenzhen518118China Huazhong University of Science and Technology Shenzhen InstituteShenzhen518000China National Engineering Laboratory for Big Data System Computing Technology Shenzhen UniversityShenzhen518060China Computer Technology Engineering Department Iraq University CollegeBasrah61004Iraq Department of Mathematics College of Education for Pure SciencesUniversity of BasrahBasrah61004Iraq Institute of Mathematics University of DebrecenDebrecenH-4002Hungary Department of Electrical Engineering and Mechatronics Faculty of EngineeringUniversity of DebrecenDebrecen4028Hungary

Vehicular ad hoc networks(VANETs)provide intelligent navigation and efficient route management,resulting in time savings and cost reductions in the transportation ***,the exchange of beacons and messages over public channels among vehicles and roadside units renders these networks vulnerable to numerous attacks and privacy *** address these challenges,several privacy and security preservation protocols based on blockchain and public key cryptography have been proposed ***,most of these schemes are limited by a long execution time and massive communication costs,which make them inefficient for on-board units(OBUs).Additionally,some of them are still susceptible to many *** such,this study presents a novel protocol based on the fusion of elliptic curve cryptography(ECC)and bilinear pairing(BP)*** formal security analysis is accomplished using the Burrows–Abadi–Needham(BAN)logic,demonstrating that our scheme is verifiably *** proposed scheme’s informal security assessment also shows that it provides salient security features,such as non-repudiation,anonymity,and ***,the scheme is shown to be resilient against attacks,such as packet replays,forgeries,message falsifications,and *** the performance perspective,this protocol yields a 37.88%reduction in communication overheads and a 44.44%improvement in the supported security ***,the proposed scheme can be deployed in VANETs to provide robust security at low overheads.

关键词： Attacks bilinear elliptic curve cryptography(ECC) privacy security vehicular ad hoc network(VANET)

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A HybridManufacturing ProcessMonitoringMethod Using Stacked Gated Recurrent Unit and Random Forest

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Intelligent Automation & Soft Computing 2024年第2期39卷 233-254页

作者： Chao-Lung Yang Atinkut Atinafu Yilma Bereket Haile Woldegiorgis Hendrik Tampubolon Hendri Sutrisno Department of Industrial Management National Taiwan University of Science and TechnologyTaipeiTaiwanChina Faculty of Mechanical and Industrial Engineering Bahir Dar Institute of Technology(BiT)Bahir DarUniversityBahir Dar6000Ethiopia Department of Computer Science and Information Engineering National Taiwan University of Science and TechnologyTaipeiTaiwanChina Department of Information System Faculty of Engineering and Computer ScienceKridaWacana Christian UniversityJakartaIndonesia Department of Information Management National Dong Hwa UniversityHualienTaiwanChina

This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing *** real-time production process monitoring is critical in today’s smart *** more robust the monitoring model,the more reliable a process is to be under *** the past,many researchers have developed real-time monitoring methods to detect process shifts ***,thesemethods have limitations in detecting process shifts as quickly as possible and handling various data volumes and *** this paper,a robust monitoring model combining Gated Recurrent Unit(GRU)and Random Forest(RF)with Real-Time Contrast(RTC)called GRU-RF-RTC was proposed to detect process shifts *** effectiveness of the proposed GRU-RF-RTC model is first evaluated using multivariate normal and nonnormal distribution ***,to prove the applicability of the proposed model in a realmanufacturing setting,the model was evaluated using real-world normal and non-normal *** results demonstrate that the proposed GRU-RF-RTC outperforms other methods in detecting process shifts quickly with the lowest average out-of-control run length(ARL1)in all synthesis and real-world problems under normal and non-normal *** experiment results on real-world problems highlight the significance of the proposed GRU-RF-RTC model in modern manufacturing process monitoring *** result reveals that the proposed method improves the shift detection capability by 42.14%in normal and 43.64%in gamma distribution problems.

关键词： Smart manufacturing process monitoring quality control gated recurrent unit neural network random forest

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Applications of Blockchain technology for Secure Transaction of Electronic Health Records 2

Applications of Blockchain Technology for Secure Transaction...

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2nd International Conference on Automation, Computing and Renewable systems, ICACRS 2023

作者： Kunduru, Arjun Reddy Thatikonda, Ramya Vaddadi, Srinivas A. Lakshmi, B. Durairaj, Yabesh Abraham Khirasaria, Vivek Software Developer OrlandoFL United States Information Technology University of the Cumberlands United States Principal System Reliability Architect Department - Risk & Reliability University of the Cumberlands United States MBA Department Panimalar Engineering College India School of Management SA College of Arts and Science India Faculty of Engineering and Technology Sharda University Uzbekistan

ISBN: (纸本)9798350340235

The healthcare industry is not immune to the trend of adopting new IT systems, and this includes hospitals and doctors' offices. To store a patient's medical history (including diagnoses and treatments), medical history (including diagnostic pictures), and financial data (including demographics and insurance details), a computerised database known as an "Electronic Health Record" (EHR) is used. Because medical records are typically private and must be shielded from prying eyes, ensuring their secure transfer is a top priority for healthcare systems. Electronic health records (EHRs) are used in the proposed study to ensure the security of all sent medical data, including the Chest X-ray MedPix images. This article describes a blockchain-based solution that patients can use to keep all their data in one secure location. This system was built with the Ganache tool on the Ethereum network, making use of Solidity and *** as well as other languages, tools, and approaches. In this study, a systematic method is described wherein blockchain smart contracts are used to record patient information and execute tasks in a distributed environment. After a smart contract has been deployed, all transactional communication occurs within its encrypted confines, protecting both the parties and their personal information. As an added bonus, the validated and broadcasted changes intended by the transaction can be checked. To ensure that government agencies have quick access to protected records, there is a cryptocurrency wallet (MetaMask) that stores the information in an encrypted, decentralised manner. Both patients and physicians can use the wallet to log in. In addition, the system will manage and protect all of the doctor and patient's information. Things like the following are in scope for the proposed system: Users may now access the same information at the same time because to blockchain's distributed ledger capabilities, which boosts productivity, establishes trust, and lowe

关键词： Blockchain Electronic health record Healthcare systems

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Risk management of Bank and FinTech Collaboration: A Phenomenological Research

Risk Management of Bank and FinTech Collaboration: A Phenome...

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International Conference of Computer and Informatics engineering (IC2IE)

作者： Mercurius Broto Legowo Fangky Antoneus Sorongan Steph Subanidja Study Program of Information System Faculty of Information Technology Institute of Perbanas Jakarta Indonesia Study Program of Accounting Faculty of Economic and Business Institute of Perbanas Jakarta Indonesia Program of Master of Management Post Graduate School Institute of Perbanas Jakarta Indonesia

Banking and Fintech are encouraged to collaborate to fill each other's deficiencies and further grow the digital economy. This collaboration will create benefits for both banks, Fintech, and customers. However, this collaboration also comes with risks. The Financial Services Authority has stated that several risk phenomena can occur in the collaboration of banks and Fintech. First, no law guarantees the protection and exchange of customer personal data. Second, the risk of customer data leakage. Third, the risk of cyberattacks. The fourth is the risk of outsourcing. This research aims to analyze the risk phenomenon of bank and fintech collaboration through the Enterprise Risk management Framework approach. This study uses a phenomenological research approach, which is a study to study how individuals subjectively experience and give meaning to the phenomenon. Data analysis based on this phenomenon data uses qualitative methods involving banking and fintech practitioners. The results of this study describe the phenomenon of risks that occur in banking-fintech collaboration, as approached by the Enterprise Risk management framework. Proper risk management will minimize risks when the Bank collaborates with FinTech. This study hopefully contributes to making brief policy recommendations on bank and fintech collaboration risk management for Indonesian financial regulators.

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Acute lymphoblastic leukemia image segmentation based on modified HSV model

Acute lymphoblastic leukemia image segmentation based on mod...

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International Laser technology and Optics Symposium 2022, iLATOS 2022

作者： Najjar, Fallah H. Khudhair, Kifah T. Khudhair, Zaid Nidhal Alwan, Haneen H. Al-Khaykan, Ameer Department of Computer System Techniques Technical Institute of Najaf Al-Furat Al-Awsat Technical University Iraq Department of Information Technology Technical College of Management Al-Furat Al-Awsat Technical University Iraq Computer Techniques Engineering Department Faculty of Information Technology Imam Jaafar Al-Sadiq University Baghdad Iraq Faculty of Engineering School of Computing University Technology of Malaysia Johar Bahru Malaysia Air Conditioning and Refrigeration Techniques Engineering Department Al- Mustaqbal University College Hillah Babylon51001 Iraq

Image segmentation is a critical step in computer-aided diagnosis that could speed up Leukemia detection. Leukemia is a cancer of the blood that has a reputation for being particularly lethal. Based on the immunohistochemical method, the leukocytes can be manually counted in a stained peripheral blood smear image to detect Acute Lymphoblastic Leukemia (ALL). Regrettably, the manual diagnosis process takes about 3 to 24 hours to complete, which is insufficient. This paper introduced a new and straightforward ALL image segmentation approach based on color image transformation. First, Leukemia, ALL-IDB1, ALL-IDB2, and ALL image datasets were used in this paper. The Leukemia dataset includes 208 ALL-IDB1 and ALL-IDB2 images, while The ALL dataset has 3256 images. Next, we use the HSV model to transform ALL images. In addition, we modified the HSV model by pre-processing the saturation channel for better results. Then, the pre-processed images were segmented based on a fixed threshold. After that, various metrics are utilized to measure the output of the proposed method. Finally, the proposed methodology is compared to currently used benchmarks. The proposed method outperforms previous approaches regarding accuracy, specificity, sensitivity, and time. In addition, results show that the proposed technique improves performance measures significantly. © Published under licence by IOP Publishing Ltd.

关键词： Image segmentation

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A novel medical image enhancement technique based on hybrid method

A novel medical image enhancement technique based on hybrid ...

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International Laser technology and Optics Symposium 2022, iLATOS 2022

作者： Khudhair, Kifah T. Najjar, Fallah H. Waheed, Safa Riyadh Al-Jawahry, Hassan M. Alwan, Haneen H. Al-Khaykan, Ameer Department of Information Technology Technical College of Management Al-Furat Al-Awsat Technical University Iraq Department of Computer System Techniques Technical Institute of Najaf Al-Furat Al-Awsat Technical University Iraq Faculty of Engineering School of Computing University Technology of Malaysia Johar Bahru Malaysia Computer Techniques Engineering Department Faculty of Information Technology Imam Jaafar Al-Sadiq University Baghdad Iraq Air Conditioning and Refrigeration Techniques Engineering Department Al-Mustaqbal University College Hillah Babylon51001 Iraq

Medical images are a specific type of image that can be used to diagnose disease in patients. Critical uses for medical images can be found in many different areas of medicine and healthcare technology. Generally, the medical images produced by these imaging methods have low contrast. As a result, such types of images need immediate and fast enhancement. This paper introduced a novel image enhancement methodology based on the Laplacian filter, contrast limited adaptive histogram equalization, and an adjustment algorithm. Two image datasets were used to test the proposed method: The DRIVE dataset, forty images from the COVID-19 Radiography Database, endometrioma-11, normal-brain-MRI-6, and simple-breast-cyst-2. In addition, we used the robust MATLAB package to evaluate our proposed algorithm's efficacy. The results are compared quantitatively, and their efficacy is assessed using four metrics: Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Contrast to Noise Ratio (CNR), and Entropy (Ent). The experiments show that the proposed method yields improved images of higher quality than those obtained from state-of-the-art techniques regarding MSE, CNR, PSNR, and Ent metrics. © Published under licence by IOP Publishing Ltd.

关键词： Image enhancement

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A Social Analysis of Thailand's 2023 Election Through Twitter Feeds

A Social Analysis of Thailand's 2023 Election Through Twitte...

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International Conference on information technology and Electrical engineering (ICITEE)

作者： Wanaporn Sarapugdi Songphon Namkhun Program in Management of Digital Innovation Faculty of Information Technology Rajabhat Mahasarakham University Maha Sarakham Thailand Program in Computer Engineering Faculty of Engineering Rajabhat Mahasarakham University Maha Sarakham Thailand

Nowadays, it cannot be denied that social media has been in many parts of people's lives, especially in entertainment, business and education. Public figures including politicians frequently use social platforms to connect with their audience, for example Facebook, Instagram, Tiktok and etc. One of the most commonly used is a platform called Twitter or also known as X. It is a platform that people can share their opinions in short messages. Since there is an alphabet limitation, people can deliver and receive message rapidly. It is a perfect platform that we could use to update the real-time situations for example election, emergency alert, natural disasters and etc. According to its characteristic, it can be used as a data source for social media analytics, which involves collecting and analyzing data to perform business decisions. The social media analytics has become commonplace because the number of people using social media tends to increase every second. Specifically, Twitter sentiment analysis offers a quick and inexpensive tool for monitoring and predictions. In this work, Twitter is used as a data source to monitor and predict Thailand Election in 2023 because this election highly attracts attention from Thais and international. Moreover, Twitter is a significant platform that is used to debate about political events in Thailand. The result of this election potentially indicates Thailand's future, including economics, public health, environment, international relations and etc. Our work performs sentiment analysis to categorize the data and mainly focuses on extracting sentiment from text without considering semantic word relations and co-occurrences because it is appropriate and functional for Thai sentence analysis. Based on the result, it can be seen that Twitter plays a significant role in politics, with politicians wielding considerable influence over public perception. Comparing of the actual election result and the predicted result, this analysis dem

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Determining the Significance of Two Consecutive Fiscal Years of Non-Conformance Cost Data Set in Project Execution of Smart Grid 23

Determining the Significance of Two Consecutive Fiscal Years...

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6th International Conference on Computers in management and Business, ICCMB 2023

作者： Narvas, Miller F. Prasetyo, Yogi Tri Nadlifatin, Reny Ayuwati, Irene Dyah Persada, Satria Fadil School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines International Bachelor Program in Engineering Yuan Ze University 135 Yuan-Tung Rd. Chung-Li32003 Taiwan Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Faculty of Business and Information Technology Institut Teknologi Telkom Surabaya Surabaya Indonesia Entrepreneurship Department Binus Business School Undergraduate Program Bina Nusantara University Indonesia

ISBN: (纸本)9781450398046

Non-conformance cost is one of the key performance indicators in determining the success of executing a project. This study will substantiate the significance of two consecutive fiscal years of non-conformance cost data set in project execution of smart grid. A two-Sample T-Test was used to compare the means of two consecutive years' data sets. All the results of both fiscal years' data set were insignificant. Since it is insignificant, the best recommendation is to thoroughly review the lessons learned from the previous projects and implementation of preventive actions to mitigate or even prevent the occurrence/ reoccurrence of non-conformance and non-conformance costs. A continuous improvement in preventing failures will assure success and increase the profitability margin of the project. © 2023 ACM.

关键词： Smart power grids

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Quality Analysis the E-PASTI system to Determine the Condition of the system and information Quality

Quality Analysis the E-PASTI System to Determine the Conditi...

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2019 International Conference of Science and information technology in Smart Administration, ICSINTeSA 2019

作者： Nugraha, Bayu Marleny, Finki Dona Sfenrianto, Sfenrianto Edwina, Cinthya Information System Program Faculty of Science and Technology Sari Mulia University South Kalimantan Banjarmasin Indonesia Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia

The purpose of this study is to evaluate the quality of secretarial, financial and staffing information systems at the Directorate General of AHU, known as the E-PASTI system. There are two variables analysed, namely system quality and information quality. Data collection using questionnaires that distributed to 123 employees who used the E-PASTI system but returned 93 questionnaires. Data quality analyst uses descriptive quantitative method. The results of the study are several conditions related to the system and information quality of E-PASTI. The quality can be a reference for the AHU Directorate General to improve the quality of E-PASTI that suits the needs of employees. © Published under licence by IOP Publishing Ltd.

关键词： Personnel

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ATT&CKViz: Enhancing Cybersecurity Insights by Visual Analytics of Attack Patterns

ATT&CKViz: Enhancing Cybersecurity Insights by Visual Analyt...

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engineering & Computing Technologies (ICECT), International Conference on

作者： Inbasat Fiza Fizza Khurshid Manahil Fatima Umara Noor Zahid Rashid Department of Software Engineering Faculty of Computing and Information Technology International Islamic University Islamabad Pakistan Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul South Korea

ISBN: (数字)9798350349719

ISBN: (纸本)9798350349726

The ATT&CK MITRE framework serves as an expansive repository of adversary tactics, techniques, and procedures. Given the sheer volume of these intricate attack patterns, the conventional manual navigation method proves to be time-intensive and less efficient for security analysts. As a remedy, there arises a compelling necessity to present the rich content encapsulated within the ATT&CK MITRE repository through interactive visualizations. In this paper ATT&CKViz an interactive web-based cyber-attack patterns visualization tool is presented that aims to empower security analysts with the ability to effortlessly explore the repository from diverse angles, which facilitates deep insights into cyber threats. The aim is to understand cyber threat efficiently with a timely response. The empirical evaluations depict that effectiveness and user-friendliness of ATT&CKViz.

关键词： Computers Navigation Visual analytics Manuals Cyberattack

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