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Forensic Analysis Model on Fintech E-Wallet Using Digital Evidence Generalization 4

Forensic Analysis Model on Fintech E-Wallet Using Digital Ev...

引用

4th international conference on intelligent Cybernetics Technology and Applications, ICICyTA 2024

作者： Firmansyah, Irfan Achmad Cahyani, Niken Dwi Wahyu Afianti, Farah Telkom University Faculty of Computing Bandung Indonesia

ISBN: (纸本)9798331506490

Fintech is a service currently in great demand by the broader community in Indonesia. One fintech service that is currently widely used is Electronic Wallet (E-Walet). Apart from these available services, some parties commit criminal acts for personal gain. This needs the support of digital evidence obtained from acquisition results to inform analysis results in digital forensics. A forensic analysis model is required to support the analysis process of fintech services, which have varying characteristics across applications. This research analyses data and features in each fintech application and uses the Resource Description Framework ontology to help manage appropriate digital evidence in fintech applications. This model focuses on User, Transaction, and Merchant entities. This research can provide information about an incident involving a fintech e-wallet application and to what extent the data acquired can help by classification and analysis by generalizing digital evidence. This data that has been successfully acquired is grouped in a more general form to facilitate an understanding of what data plays an essential role in digital forensic activities and how an investigative question can be answered based on this data. The generalization of this data will be shown in model visualization to inform if the data is available and the known relationships between the data. The research contributes to digital forensics by providing a structured approach to analyzing fintech data. It offers insights into the future direction of data analysis in this domain. © 2024 ieee.

关键词： data classification and analysis digital acquisition fintech forensics analysis model resource description framework

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Method of data Processing System Synthesis for Heterogeneous Distributed databases Based on Network-Centric Control

Method of Data Processing System Synthesis for Heterogeneous...

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ieee international Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Vadym Mukhin Yaroslav Kornaga Valerii Zavgorodnii Yurii Bazaka Anna Zavgorodnya Oleg Mukhin Department of System Design National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Kiev Ukraine Department of Information Systems and Technologies National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Kiev Ukraine Department of the Artificial Intellect of the National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Kiev Ukraine

The methodology for the synthesis of a distributed computer system that includes the database was developed. There are suggested the new models for the data processing parameters evaluation and along with the analysis and forecasting of the functional parameters. The proposed methods for the number of data processing nodes determining in the systems with dynamic structure based on a network-centric control mechanism allows increase the efficiency of the heterogeneous distributed databases. The implementation of the proposed methodology allows synthesizing a distributed data processing system for processing requests to heterogeneous databases, taking into account the parameters of the nodes and the bandwidth of the channels between the nodes.

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An Efficient Video Authentication Method Based on Least Significant Bit Replacement

An Efficient Video Authentication Method Based on Least Sign...

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2024 ieee international conference on intelligent systems and advanced Applications, ICISAA 2024

作者： Poundekar, Mukesh Deshpande, Shrinivas P. Shelke, Nilesh HVPM PG Department of Computer Science and Technolgy Maharashtra Amravati India Symbiosis Institute of Technology Nagpur Campus Symbiosis International Deemed University Pune India

ISBN: (纸本)9798331539948

Video authentication is crucial for verifying the integrity and authenticity of multimedia content in various applications, including security surveillance, digital forensics, and media distribution. In this paper, present a novel video authentication method based on the Least Significant Bit (LSB) replacement technique. This approach involves embedding authentication data into the LSB of video frames, leveraging the minimal perceptual impact of LSB modifications to maintain high video quality. We systematically analyze the performance of our method using multiple video datasets, evaluating metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Square Error (MSE). The experimental results demonstrate that our LSB replacement-based video authentication method achieves high fidelity with Video2 showing the highest PSNR at 66.456, followed by Video3 at 59.082, and Video1 at 57.1952 and minimal distortion, ensuring robust and reliable authentication while maintaining the visual quality of the video content. Furthermore, the proposed method exhibits efficient embedding times. © 2024 ieee.

关键词： Authentication Protocol

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Customized IoT based Smart Irrigation for Terrace Plants 6

Customized IoT based Smart Irrigation for Terrace Plants

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

作者： Priya, S. Padma Pavalarajan, S. Abarna, P.S. Manjula devi, C. Abinaya, B. Sukaina, S. Department of Computer Science and Business Systems PSNA College of Engineering and Technology Dindigul India Department of Information Technology Velammal college of Engineering and Technology Madurai India

ISBN: (纸本)9798331522667

An Internet of Things based smart irrigation system for terrace plants is a cutting-edge solution designed to automate and optimize the watering process, ensuring efficient use of water and promoting healthier plant growthSmart irrigation system may vary from field with crops of same variety to terrace plantation with plants of different varieties. As the water requirement may vary based on plant type, environmental condition, growth stage, it is intelligent to provide varying water supply. This Smart irrigation system employs soil moisture to monitor the water content of the terrace garden in real time. Some variety of plants may require minimum quantity of water. The sensors continuously collect data and send it to a central IoT platform or a cloud-based server, where intelligent algorithms analyse the data and determine the precise amount of water needed by the plants. Based on this analysis, the system automatically activates the irrigation mechanism whether it's a drip system, sprinklers, or any other appropriate watering method only when required, thus preventing water wastage and avoiding overwatering or underwatering. © 2025 ieee.

关键词： Sprinkler systems (irrigation)

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Text Guided Road Marking Point Cloud Completion 6

Text Guided Road Marking Point Cloud Completion

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6th international conference on Next Generation data-Driven Networks, NGDN 2024

作者： He, Xu Xu, Qihong Luo, Huan Fuzhou University College of Computer and Data Science Fuzhou China Fuzhou University Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China

ISBN: (纸本)9798350388374

With the continuous development of intelligent transportation technologies such as autonomous driving and navigation, accurate perception of road markings becomes crucial. However, due to limitations in sensor perspectives and obstacles blocking the view, the scanned point cloud of road markings is often incomplete, potentially leading to erroneous decisions in intelligent transportation systems. Therefore, it becomes imperative to recover complete road markings from these incomplete point clouds. This paper proposes a text-guided road marking completion method, which integrates text information with point cloud data using attention mechanisms. By leveraging text information to guide the network in completing road marking point clouds, the proposed method aims to enhance the perception accuracy and completeness of road markings. Experimental validation on road marking datasets demonstrates the effectiveness and feasibility of the proposed approach. © 2024 ieee.

关键词： Road and street markings

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Machine Learning Model for Sentimental Analysis of Amazon Reviews

Machine Learning Model for Sentimental Analysis of Amazon Re...

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2024 ieee international conference on Electronic systems and intelligent computing, ICESIC 2024

作者： Umamageswari, A. Pratishwaran, R.J. Poojitha Reddy, M. Yuvan Sankar Raj, R. SRM Institute of Science and Technology Department of Computer Science and Engineering Ramapuram Chennai India SRM Institute of Science and Technology Department of Computer Science and Engineering With Specialization in Big Data Analytics Ramapuram Chennai India

ISBN: (纸本)9798331522988

The goal of this project is to draw a deeper understanding of the subjective nature behind online product reviews, largely by examining a large dataset received from Amazon that contains numerous star ratings and comments. Since there is such a massive amount of data on the Amazon platform, it was perfect for the analysis. Our methodology is platform-agnostic and can be easily extended to other comparable datasets from other web platforms with comparable guarantees in achieving wide applicability. Our primary motivation is improving the dependability of online shopping. Since product reviews are currently widely used by many consumers as guides in making decisions to buy products, such reviews ought to be fair representations of the actual dependability and quality of the products. The goal of our effort is to identify patterns in the language and ratings of such reviews that would directly reflect the real customer sentiment and also the reliability of the product. Our approach has yielded already a rate of about 92%, which shows it has the potential greatly to raise the legitimacy of online reviews. We'd like to make our customers feel more confident and better equipped with information to make better and safer purchases on a website like Amazon and others. In the final analysis, we strive to make online shopping for our customers worldwide safer and more trustworthy. © 2024 ieee.

关键词： data reliability

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Measurement and computing Issues in Control of Complex systems 27

Measurement and Computing Issues in Control of Complex Syste...

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27th international conference on Soft computing and Measurements, SCM 2024

作者： Zhukov, Roman A. Prokopchina, Svetlana V. Plinskaya, Maria A. Zhelunitsina, Maria A. Tula Russia Financial University Under The Government of The Russian Federation Moscow Russia

ISBN: (纸本)9798350363708

The problem of forming standards and procedures for calculating indicators of the functioning of complex systems in conditions of uncertainty is solved. The methodology is based on the methodology of Bayesian intelligent technologies, which makes it possible to carry out modeling in conditions of limited, incomplete and fuzzy data, including single measurements. This methodology includes representation of measurements in the form of a fuzzy number;identification of the type of distribution;generation of samples of a given volume for factors characterizing the result and complex system functioning conditions in a given period of time;construction of a regression model based on the generated samples. The constructed models can used as a tool for calculating dynamic norms by substituting appropriate factors into the equation. © 2024 ieee.

关键词： Large scale systems

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Secure data Storage based on Integrated Encryption Technology in Cloud Environment

Secure Data Storage based on Integrated Encryption Technolog...

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2024 international conference on intelligent Algorithms for Computational Intelligence systems, IACIS 2024

作者： Ai, Yongqi Li, Weiliang Ding, Xuewei Zhang, Xinyi Shang, Qingqing Yang, Luyu State Grid Information & Telecommunication Branch Beijing China

ISBN: (纸本)9798350360660

The development of cloud computing poses data security challenges to cloud storage services, and traditional encrypted storage mechanisms have shortcomings. This article proposes an integrated secure data storage system framework that uses RSA algorithm to establish encryption mechanism. Through data preprocessing and pseudocode generation, encryption and decryption are performed using modular exponentiation to ensure secure storage of data. It was found that the RSA algorithm proposed in this article only takes 52.12 seconds to encrypt 60000 pieces of data. With the continuous increase of plaintext/bytes, the RSA algorithm ciphertext always remains at 15 bytes. When the plaintext length is 250 bytes, the RSA algorithm takes 25 seconds to access and can access the entire plaintext. This system has improved the security factor of data transmission. The RSA algorithm has advantages in encryption performance, ciphertext length, access time consumption, and plaintext access security, which can effectively ensure the secure storage of data and meet the data security requirements in cloud environments. © 2024 ieee.

关键词： Cloud security

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The Estimate of Informative Parameters Based on the Neural Network Approach During Monitoring of the Geotechnical System 11

The Estimate of Informative Parameters Based on the Neural N...

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11th ieee international conference on intelligent data acquisition and advanced computing systems - Technology and Applications (IDAACS)

作者： Dorofeev, Nikolay, V Pankina, Ekaterina S. Goryachev, Maxim S. Vladimir State Univ Gorkogo St 87 Vladimir 600000 Russia

ISBN: (纸本)9781665426053

The article proposes an algorithm for evaluating the informative value of the parameters of the geotechnical system and improving the efficiency of monitoring systems by improving the quality of data collection system management. The proposed neural network algorithm is based on the results of preliminary statistical data processing, formed model parameters of the control object, bifurcation parameters. The results of the algorithm allow us to determine the key points of placement of sensors of the collection system and adjust the collection parameters and the individual model of the geotechnical system. The article also provides a practical test of the developed algorithm for geotechnical monitoring of a three-story building.

关键词： geotechnical monitoring neural network algorithm data collection construction objects

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Embedded Real-Time Human Activity Recognition on an ESP32-S3 Microcontroller Using Ambient Audio data

Embedded Real-Time Human Activity Recognition on an ESP32-S3...

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ieee international Workshop on intelligent data acquisition and advanced computing systems: Technology and Applications

作者： Thomas Pfitzinger Hendrik Wöhrle Dortmund University of Applied Sciences and Arts Dortmund Germany

The task of Human Activity Recognition (HAR) finds application in smart homes and assisted living and is mostly approached with machine learning. Sensor data for HAR is often collected and processed by separate devices. Performing the recognition task directly on the sensor device can decrease network traffic and reduce the related energy consumption and privacy concerns. In this work, an intelligent sensor device is developed that performs real-time HAR on an ESP32-S3 microcontroller using ambient audio data. A convolutional neural network to classify human activities is designed and subsequently reduced in size and computation cost in order to enable its inference on the microcontroller. This is achieved with neural architecture search, resulting in multiple simplified model variations. These are tested on the ESP32-S3 and a feasible version is identified.

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