International journal of computer science, engineering and information technology最新文献

{"title":"Block-AD: Blockchain Attack-Defense CTF Competition for Next-Web3 Security","authors":"Inas Hasnaoui, Maria Zrikem, Rajaa Elassali","doi":"10.5121/ijcseit.2023.13503","DOIUrl":"https://doi.org/10.5121/ijcseit.2023.13503","url":null,"abstract":"The rapid growth of blockchain technology hasintroduced newsecurity challengesin decentralized systems.In this paper, we present Block-AD, a Blockchain Attack-Defense Capture The Flag (CTF) competition aimed at improving smart contract security skills and addressing evolving security threats in Next-Web3 environments. Unlike traditional CTF competitions, participants engage in attack and defense actions to exploit vulnerabilities and protect their smart contract services. This game-based approach concludes with rewards distributed from the competition’s vault and the allocation of non-fungible tokens (NFTs) as proof of participation. This approach aims to provide a fun and engaging way to improve the security skills of all participants, as well as to identify and fix vulnerabilities in smart contracts. By combining blockchain technology, CTF methodology, and Next-Web3 security, Block-AD provides a unique and innovative approach for enhancing cybersecurity skills in decentralized systems and smart contracts.","PeriodicalId":486748,"journal":{"name":"International journal of computer science, engineering and information technology","volume":"177 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233162","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}

{"title":"Piecewise Reconstruction of 3D Euler Spirals From Planar Polygonal Curves","authors":"Ali Fakih, Frederic Cordier, Yvan Maillot","doi":"10.5121/ijcseit.2023.13501","DOIUrl":"https://doi.org/10.5121/ijcseit.2023.13501","url":null,"abstract":"In this article, we propose a method for reconstructing approximate piecewise 3D Euler spirals from planar polygonal curves. The method computes the 3D coordinates of approximate Euler spiral such that its orthogonal projection onto the 2D plane is the closest possible to the input curve. To achieve this, a dataset is created, comprising Euler spiral segments and their orthogonal projections. Given an input curve, it is sampled and split into segments. Each segment is matched with the closest Euler spiral segments from the dataset, forming a pool of candidates. The optimal set of connected Euler spiral segments is then selected to reconstruct the approximate piecewise 3D Euler spiral. The selection prioritizes smoothness continuity at connecting points while minimizing the distance between the orthogonal projection and the input curve. We evaluate our method against synthetic 3D Euler spirals by applying our reconstruction to the orthogonal projection of the synthetic Euler spirals.","PeriodicalId":486748,"journal":{"name":"International journal of computer science, engineering and information technology","volume":"700 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233166","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}

{"title":"Fuzzy Preprocessing of Viola-Jones Algorithm for Face Recognition in Thermal Images","authors":"Edwyn Martínez, Edmundo Bonilla, Eduardo Sánchez, Crispín Hernández, Roberto Morales","doi":"10.5121/ijcseit.2023.13502","DOIUrl":"https://doi.org/10.5121/ijcseit.2023.13502","url":null,"abstract":"This paper proposes to improve the Viola-Jones algorithm to identify facial features in thermal images using a fuzzy linguistic modifier. The purpose is to improve the image quality in the infrared plane and to facilitate the recognition stage, feature selection and emotion classification. The results obtained show that adding a preprocessing stage improves the capability of the Viola-Jones algorithm in identifying facial features in thermal images.","PeriodicalId":486748,"journal":{"name":"International journal of computer science, engineering and information technology","volume":"23 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233163","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}

{"title":"An Overview of Various Techniques Involved in Detection of Anomalies from Surveillance Cameras","authors":"Vasanth Kumar N.T, Geetha Kiran A","doi":"10.5121/ijcseit.2023.13402","DOIUrl":"https://doi.org/10.5121/ijcseit.2023.13402","url":null,"abstract":"In recent years, the use of surveillance cameras is rapidly increasing in both public and private areas to enhance the security measures. Many companies are recruiting people to monitor the activities captured by surveillance cameras and due to human error they may failed to monitor the abnormal events. So, an automated system to detect the anomalous events acts as a significant approach in surveillance applications. Due to sparse occurrence of anomalous activities, the detection of anomalies is remaining as a challenging task. To overcome these drawbacks, many researchers have worked to develop an effective anomaly detection methods using different approaches. This study prioritized some existing approaches to detect anomalies takes place in surveillance videos. The existing researches utilized University of Central Florida (UCF) Crime video dataset to collect the data about the anomalous activities, UCF crime video dataset consist of 13 categories of anomalies which consist of 1900 surveillance videos. The key parameters such as accuracy, recall, F1 score and Area Under Curve (AUC) are evaluated to analyse the efficiency of the existing anomaly detection methods. This survey acts as a tool for future researchers to overcome the drawbacks in the existing methods and create a novel anomaly detection approach.","PeriodicalId":486748,"journal":{"name":"International journal of computer science, engineering and information technology","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135181608","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}

{"title":"An Efficient Online Offline Data Collection Software Solution for Creating Reference Population to Established Genomic Selection Under Small Holders’ Dairy System in India","authors":"Y S Gaundare, S A Joshi, N K Punde, K G Bhave, T V Shirsath, V V Potdar, V Dhanikachalam, S Jadhav, A S Joshi, M Swaminathan","doi":"10.5121/ijcseit.2023.13401","DOIUrl":"https://doi.org/10.5121/ijcseit.2023.13401","url":null,"abstract":"This article as part of an Enhanced Genetics Project assumes special significance in the light of emergence of electronic mode of data collection system. Pen and paper method of data collection although very familiar to field people, but is generates the errors and requires digitization and data cleaning. The software solution surveying is easier mode of ensuring uniformity in data collection, reducing errors and better storage and analysis of data. In this regard, this article gives a clearer picture of the digital tablet based data collection system employed part of the Enhanced Genetics Project across 49 selected Data Recorders (Data Enumerators) in Maharashtra, Uttar Pradesh, Jharkhand, Punjab, Odisha, Gujarat, Andhra Pradesh, Rajasthan, and Bihar. The manual outlines the processes to be fulfilled by the digital mobile based solution, the user interface involved and the software and hardware infrastructure to support such a platform independent system. In this project we have enrolled the 33,293 dairy animals and collecting there production, reproduction, body weight data, as well as, collecting the baseline & herd management information of that farm. This system increase Data Accuracy GPS (Global Positioning System) enabled data collection system for genomic evolution. This is very unique software solution developed for to collect the structured phenotype data of the dairy animals in Indian conditions on realtime basis. As well, show case the robust data collection system for the Genomic Selection for dairy animal’s initiative. This sub-system also focused on the various activities and operations related to molecular biological laboratory. In this software solution system the two major feedback systems for actively participation of the farmers were participation certificate and Graphical Animal Ranking system for the farmer and animal. The locational data collection with seamless interfacing with the user and the data repository for Genetic Improvement Data collection system. Data capture system was quite successful in gathering field phenotype data for Genetic Improvement Program in the complex dairy production system like India.","PeriodicalId":486748,"journal":{"name":"International journal of computer science, engineering and information technology","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135181401","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}