Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155079
Anxhela Gjecka, M. Fetaji
In recent times, machine learning has provided increasingly satisfying results in the field of medicine, providing results with very high accuracy while helping to reduce costs and diagnose the disease in real time. To achieve this, it is necessary to develop different deep machine learning techniques. Some of these are metaheuristic techniques that offer practical solutions for different types of chronic diseases. These types of algorithms have received the most attention in solving optimization problems. Therefore, this paper presents a wide review of the literature for solving the problems of feature selection using metaheuristic algorithms and selecting those that have had the highest performance compared to the results given by other algorithms. In this paper, a study of 71 articles from a research database was carried out, from which metaheuristic algorithms were analyzed and evidenced on the optimization and selection of features for the prediction of chronic diseases using numerical, binary, or even imaging data. The efficiency of the algorithms is measured based on the accuracy results, error rate, F-means, or other parameters or graphical representations found in this study. This work will help researchers to improve any of the methods, hybridize them, or even build applications for predicting diseases in the future. Gaps in this field have also been identified, and future studies should be conducted.
{"title":"Literature Review On Metaheuristics Techniques In The Health Care Industry","authors":"Anxhela Gjecka, M. Fetaji","doi":"10.1109/MECO58584.2023.10155079","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155079","url":null,"abstract":"In recent times, machine learning has provided increasingly satisfying results in the field of medicine, providing results with very high accuracy while helping to reduce costs and diagnose the disease in real time. To achieve this, it is necessary to develop different deep machine learning techniques. Some of these are metaheuristic techniques that offer practical solutions for different types of chronic diseases. These types of algorithms have received the most attention in solving optimization problems. Therefore, this paper presents a wide review of the literature for solving the problems of feature selection using metaheuristic algorithms and selecting those that have had the highest performance compared to the results given by other algorithms. In this paper, a study of 71 articles from a research database was carried out, from which metaheuristic algorithms were analyzed and evidenced on the optimization and selection of features for the prediction of chronic diseases using numerical, binary, or even imaging data. The efficiency of the algorithms is measured based on the accuracy results, error rate, F-means, or other parameters or graphical representations found in this study. This work will help researchers to improve any of the methods, hybridize them, or even build applications for predicting diseases in the future. Gaps in this field have also been identified, and future studies should be conducted.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125452649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155102
U. Reinsalu, T. Robal
This paper presents the design of a system that allows for remote, contactless calling of a smart elevator using a energy-efficient embedded system running on a battery. The main objective of this research was to create a low-power touchless service button, which can only be accessed by users in the immediate proximity of the elevator. The system uses a dynamic QR-code to make robust remote calls via a web-page opened on the user's phone, without the need for any authorization method. This is achieve by the use of Time-based One-time Password (TOTP) algorithm to generate periodically changing single-use passwords. The touch-free button system design uses an eInk display, a microcontroller, and RTC module for maximum energy savings. We show the potential of the proposed touch-free system design for various application areas.
{"title":"A Touch-Free Service Button for Smart Elevator Operation with Dynamic QR-code Generation","authors":"U. Reinsalu, T. Robal","doi":"10.1109/MECO58584.2023.10155102","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155102","url":null,"abstract":"This paper presents the design of a system that allows for remote, contactless calling of a smart elevator using a energy-efficient embedded system running on a battery. The main objective of this research was to create a low-power touchless service button, which can only be accessed by users in the immediate proximity of the elevator. The system uses a dynamic QR-code to make robust remote calls via a web-page opened on the user's phone, without the need for any authorization method. This is achieve by the use of Time-based One-time Password (TOTP) algorithm to generate periodically changing single-use passwords. The touch-free button system design uses an eInk display, a microcontroller, and RTC module for maximum energy savings. We show the potential of the proposed touch-free system design for various application areas.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125164486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155032
G. Laštovička-Medin, Dejan Karadžić
The purpose of this paper is to describe and study the capacity, potential and limitations of using thermal imaging camera to indicate the effects and track the changes caused by the physical exercises performed in the way that the certain part of body and muscles are stimulated. The methodology described here can be used as a reliable tool to prevent sport injuries and to track their recovery or showing quality of sportsmen training.
{"title":"Thermography: Features and utilization of thermal infrared camera and its application on human body in sports medicine","authors":"G. Laštovička-Medin, Dejan Karadžić","doi":"10.1109/MECO58584.2023.10155032","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155032","url":null,"abstract":"The purpose of this paper is to describe and study the capacity, potential and limitations of using thermal imaging camera to indicate the effects and track the changes caused by the physical exercises performed in the way that the certain part of body and muscles are stimulated. The methodology described here can be used as a reliable tool to prevent sport injuries and to track their recovery or showing quality of sportsmen training.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125725568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155005
John W. Handler, M. Harker, G. Rath
This paper presents a new approach to the task of time-domain model matching for state-space systems. The traditional problem formulation of designing a controller to match a reference model is relaxed to matching only a desired reference response. The presented algorithm then computes the feedback gain that delivers the best fit solution to the reference response under general norms. Additionally, the proposed discretization approach enables the employment of sparse matrix methods which enables a numerically efficient implementation. The new method is successfully verified using a random system. Additionally, an application example involving a simplified gantry crane system is presented, showcasing the practicality of the approach. Overall, the new method provides an intuitive and numerically efficient solution to the problem of time-domain model matching for state-space systems.
{"title":"Time-Domain Model Matching Under General Norms via Sparse Matrix Methods","authors":"John W. Handler, M. Harker, G. Rath","doi":"10.1109/MECO58584.2023.10155005","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155005","url":null,"abstract":"This paper presents a new approach to the task of time-domain model matching for state-space systems. The traditional problem formulation of designing a controller to match a reference model is relaxed to matching only a desired reference response. The presented algorithm then computes the feedback gain that delivers the best fit solution to the reference response under general norms. Additionally, the proposed discretization approach enables the employment of sparse matrix methods which enables a numerically efficient implementation. The new method is successfully verified using a random system. Additionally, an application example involving a simplified gantry crane system is presented, showcasing the practicality of the approach. Overall, the new method provides an intuitive and numerically efficient solution to the problem of time-domain model matching for state-space systems.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125025936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155096
Nikola Pop Tomov, V. Kokalanov, S. Koceski
In recent years, the use of deep learning techniques has gained widespread popularity in the field of computer vision, especially for tasks such as object detection and recognition. In this research paper, we present a deep learning-based approach for the real-time estimation of human body measurements using device cameras, intending to enhance the online shopping experience and reduce concerns related to size selection. The proposed method based on convolutional neural networks (CNNs) is evaluated and the results are presented.
{"title":"Deep Learning-Based Real-Time Body Measurements Using Device Camera","authors":"Nikola Pop Tomov, V. Kokalanov, S. Koceski","doi":"10.1109/MECO58584.2023.10155096","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155096","url":null,"abstract":"In recent years, the use of deep learning techniques has gained widespread popularity in the field of computer vision, especially for tasks such as object detection and recognition. In this research paper, we present a deep learning-based approach for the real-time estimation of human body measurements using device cameras, intending to enhance the online shopping experience and reduce concerns related to size selection. The proposed method based on convolutional neural networks (CNNs) is evaluated and the results are presented.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131250401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155059
M. A. Hail
The development of mobile applications for IoT systems has become increasingly important due to their ability to provide remote control, monitoring, and efficient analysis of device data for effective device management and decision-making. In recent years, the research on Named Data Networking (NDN) for IoT systems has focused on addressing challenges such as device heterogeneity, network scalability, data privacy, and efficient communication protocols for IoT-NDN devices. This paper presents the design of an app called “NDN4IoT” that enables remote management, control, and observation of IoT devices that utilize NDN technology. The app is integrated with the FIWARE IoT platform, which allows for the retrieval and storage of log information from the IoT-NDN devices. This log information can be used for critical data analysis and decision-making purposes before device failure. The proposed app design provides a user-friendly interface that enables efficient management and monitoring of the IoT-NDN devices remotely. This solution addresses the challenges of managing and controlling IoT devices, specifically those utilizing NDN technology, and enables efficient use of log data for analysis and decision-making purposes.
{"title":"Efficient Management, Control and Analysis of IoT-NDN Devices through “NDN4IoT” App Integrated with FIWARE","authors":"M. A. Hail","doi":"10.1109/MECO58584.2023.10155059","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155059","url":null,"abstract":"The development of mobile applications for IoT systems has become increasingly important due to their ability to provide remote control, monitoring, and efficient analysis of device data for effective device management and decision-making. In recent years, the research on Named Data Networking (NDN) for IoT systems has focused on addressing challenges such as device heterogeneity, network scalability, data privacy, and efficient communication protocols for IoT-NDN devices. This paper presents the design of an app called “NDN4IoT” that enables remote management, control, and observation of IoT devices that utilize NDN technology. The app is integrated with the FIWARE IoT platform, which allows for the retrieval and storage of log information from the IoT-NDN devices. This log information can be used for critical data analysis and decision-making purposes before device failure. The proposed app design provides a user-friendly interface that enables efficient management and monitoring of the IoT-NDN devices remotely. This solution addresses the challenges of managing and controlling IoT devices, specifically those utilizing NDN technology, and enables efficient use of log data for analysis and decision-making purposes.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10155043
Matthias Dziubany, A. Schmeink, Guido Dartmann
Time windows have great importance in the design of cyber physical systems (CPS) for transportation. In contrast to most transportation systems, where the time flexibility of customers is inadequately represented by fixed pick-up or delivery time windows, this paper assigns optimized pick-up or delivery time windows (appointments) with certain length inside exogenous flexibility time windows. The concept of appointments in flexibility time windows enables customers to report their true time flexibility, while keeping the pick-up or delivery time window short. By integrating the customers time flexibility substantially in the optimization of the transportation system, it well-deserved the description of cyber physical social system (CPSS). Simulations on the cordeau dataset confirm, that the new time window concept is very promising, since an user-accepted exploitment of time flexibility yields to less transportation costs. Further, our mixed integer program (MIP) determining appointment time windows, can also be used as a very fast preprocessing technique to shrink time windows in transportation problems, which yields to energy-efficient computation.
时间窗在交通网络物理系统(CPS)设计中具有重要意义。针对大多数运输系统中固定的取货或送货时间窗口不能充分体现客户的时间灵活性的问题，本文在外生弹性时间窗口内分配一定长度的优化取货或送货时间窗口(预约)。灵活时间窗口中的约会概念使客户能够报告他们真正的时间灵活性，同时保持取件或交付时间窗口短。通过将顾客的时间灵活性大量地整合到运输系统的优化中，它是名副其实的网络物理社会系统(cyber physical social system, CPSS)。cordeau数据集的模拟证实，新的时间窗口概念非常有前途，因为用户接受的时间灵活性的利用可以降低运输成本。此外，我们的混合整数规划(MIP)确定预约时间窗口，也可以作为一种非常快速的预处理技术来缩小运输问题的时间窗口，从而产生节能计算。
{"title":"Energy-efficient Cyber Physical Social System for Transportation with Appointments","authors":"Matthias Dziubany, A. Schmeink, Guido Dartmann","doi":"10.1109/MECO58584.2023.10155043","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10155043","url":null,"abstract":"Time windows have great importance in the design of cyber physical systems (CPS) for transportation. In contrast to most transportation systems, where the time flexibility of customers is inadequately represented by fixed pick-up or delivery time windows, this paper assigns optimized pick-up or delivery time windows (appointments) with certain length inside exogenous flexibility time windows. The concept of appointments in flexibility time windows enables customers to report their true time flexibility, while keeping the pick-up or delivery time window short. By integrating the customers time flexibility substantially in the optimization of the transportation system, it well-deserved the description of cyber physical social system (CPSS). Simulations on the cordeau dataset confirm, that the new time window concept is very promising, since an user-accepted exploitment of time flexibility yields to less transportation costs. Further, our mixed integer program (MIP) determining appointment time windows, can also be used as a very fast preprocessing technique to shrink time windows in transportation problems, which yields to energy-efficient computation.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134061605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10154987
Alexandros Spournias, Evanthia Faliagka, Theodoros Skandamis, Christos D. Antonopoulos, N. Voros, G. Keramidas
This paper presents a system for detecting gestures and controlling devices in Ambient Assisted Living (AAL) environments using machine learning and Bluetooth Low Energy (BLE) technology. The system consists of two main components: a device equipped with a set of sensors to detect hand gestures via IMU sensor and a BLE-enabled hub that receives the gesture data and controls the lighting of the house. The hub uses machine learning algorithms to recognize hand gestures and transmit the corresponding commands to the devices. The hub, in turn, uses wifi to communicate with the devices and execute the appropriate actions based on the received commands. The proposed system's performance evaluation was carried out through a series of experiments in a AAL environment. The results demonstrate that the system is capable of accurately detecting hand gestures and controlling various devices such as lights, where the model's performance yields successful predictions with an accuracy rate of 90%. The proposed system provides a user-friendly and intuitive way for elderly or people with disabilities to control their environment without the need for complex interfaces or physical buttons. Furthermore, the system can be easily extended to support more gestures and devices, making it a flexible and scalable solution for AAL environments.
{"title":"Gestures detection and device control in AAL environments using machine learning and BLEs","authors":"Alexandros Spournias, Evanthia Faliagka, Theodoros Skandamis, Christos D. Antonopoulos, N. Voros, G. Keramidas","doi":"10.1109/MECO58584.2023.10154987","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154987","url":null,"abstract":"This paper presents a system for detecting gestures and controlling devices in Ambient Assisted Living (AAL) environments using machine learning and Bluetooth Low Energy (BLE) technology. The system consists of two main components: a device equipped with a set of sensors to detect hand gestures via IMU sensor and a BLE-enabled hub that receives the gesture data and controls the lighting of the house. The hub uses machine learning algorithms to recognize hand gestures and transmit the corresponding commands to the devices. The hub, in turn, uses wifi to communicate with the devices and execute the appropriate actions based on the received commands. The proposed system's performance evaluation was carried out through a series of experiments in a AAL environment. The results demonstrate that the system is capable of accurately detecting hand gestures and controlling various devices such as lights, where the model's performance yields successful predictions with an accuracy rate of 90%. The proposed system provides a user-friendly and intuitive way for elderly or people with disabilities to control their environment without the need for complex interfaces or physical buttons. Furthermore, the system can be easily extended to support more gestures and devices, making it a flexible and scalable solution for AAL environments.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10154944
T. Barbu
Aneffective denoising and restoration framework that removes successfully theadditive white Gaussian noise (AWGN) from the spectral images is introduced inthis paper. Since the multispectral images can be described as vector-valuedfunctions, the proposed technique uses a novel partial differential equation(PDE)-based model created for this type of image functions. So, we consider anonlinear vector-valued hyperbolic PDE filtering model for the restorationtask. It is equivalent to a system of second-order hyperbolic equationsevolving simultaneously and sharing some coupling terms that model theinter-channel correlation. A finite difference-based fast-convergingdiscretization algorithm which solves numerically the PDE-based model ispresented next. It has been applied successfully in the MSI restorationexperiments that are also described here.
{"title":"Spectral Vector-valued Image Restoration using a Hyperbolic Partial Differential Equation-based Filter","authors":"T. Barbu","doi":"10.1109/MECO58584.2023.10154944","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154944","url":null,"abstract":"Aneffective denoising and restoration framework that removes successfully theadditive white Gaussian noise (AWGN) from the spectral images is introduced inthis paper. Since the multispectral images can be described as vector-valuedfunctions, the proposed technique uses a novel partial differential equation(PDE)-based model created for this type of image functions. So, we consider anonlinear vector-valued hyperbolic PDE filtering model for the restorationtask. It is equivalent to a system of second-order hyperbolic equationsevolving simultaneously and sharing some coupling terms that model theinter-channel correlation. A finite difference-based fast-convergingdiscretization algorithm which solves numerically the PDE-based model ispresented next. It has been applied successfully in the MSI restorationexperiments that are also described here.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"142 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-06DOI: 10.1109/MECO58584.2023.10154990
A. Levina, Andrew Plotnikov, Efim Ashmarov
This paper will illustrate a new class of analysis off hash functions. The method will be demonstrated on the algorithm SHA-256. The idea behind the attack is to represent the algorithm as Boolean equations and solve them using tree notation. The new attack will help to speed up the process of finding vulnerabilities in hash functions, which may help to create more secure hash functions in the future. Despite the fact that the article will describe the approbation of the method only on SHA-256, these results can also be extrapolated to other hashing algorithms, since the idea, presented in this method, does not depend on an algorithm specification.
{"title":"New Method of Hash Functions Analysis","authors":"A. Levina, Andrew Plotnikov, Efim Ashmarov","doi":"10.1109/MECO58584.2023.10154990","DOIUrl":"https://doi.org/10.1109/MECO58584.2023.10154990","url":null,"abstract":"This paper will illustrate a new class of analysis off hash functions. The method will be demonstrated on the algorithm SHA-256. The idea behind the attack is to represent the algorithm as Boolean equations and solve them using tree notation. The new attack will help to speed up the process of finding vulnerabilities in hash functions, which may help to create more secure hash functions in the future. Despite the fact that the article will describe the approbation of the method only on SHA-256, these results can also be extrapolated to other hashing algorithms, since the idea, presented in this method, does not depend on an algorithm specification.","PeriodicalId":187825,"journal":{"name":"2023 12th Mediterranean Conference on Embedded Computing (MECO)","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123434930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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