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2021 12th International Conference on Information and Knowledge Technology (IKT)最新文献

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SDN-based Deep Anomaly Detection for Securing Cloud Gaming Servers 基于sdn的云游戏服务器安全深度异常检测
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685665
Mohammadreza Ghafari, S. M. Safavi Hemami
{"title":"SDN-based Deep Anomaly Detection for Securing Cloud Gaming Servers","authors":"Mohammadreza Ghafari, S. M. Safavi Hemami","doi":"10.1109/IKT54664.2021.9685665","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685665","url":null,"abstract":"Despite recent advances in cloud computing, users and organizations have always feared for the security of cloud environments. On the other hand, there is a concern on the part of cloud service providers, since all the cloud infrastructure shares sensitive data on the Internet. For this reason, an in-depth study to diagnose network anomalies seems logical, because with a precise approach, the risks of infiltration can be reduced. In this paper, we have used Software Defined Network (SDN) to implement game streaming in order to achieve our test penetration. Furthermore, we built our SDN-based database by performing a greedy approach. For this job, during multiple game streaming, three attackers infiltrate the cloud game infrastructure in a variety of ways to make the access of the gamer and the game server out of reach. By using the data from this event, which are stored in the controller, we have created a Neural Network (NN) to assess and diagnose abnormalities. Numerical results show that our controller can be effective in detecting anomalies with very little error.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132622311","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}
引用次数: 1
A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection 基于深度学习和传播路径时间稳定的假新闻检测新方法
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685211
F. Torgheh, M. Keyvanpour, B. Masoumi
{"title":"A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection","authors":"F. Torgheh, M. Keyvanpour, B. Masoumi","doi":"10.1109/IKT54664.2021.9685211","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685211","url":null,"abstract":"The increasing use of social media and people's interest in obtaining information through social media has made several challenges. One of the most important challenges in this context is the propagation of incorrect information, making problems in various areas. Fake news is a class of incorrect information propagating in the media due to different reasons, and handling them should be discussed from various aspects. In this paper, it is tried to present a method for detecting fake news based on their propagation path using deep networks and evaluate the capability of these networks in this context. To this end, an algorithm is presented for stabilizing the propagation path and the proposed model is implemented on this algorithm.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122419230","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}
引用次数: 2
A Topic Based Method to Classify the Question Clarity in CQA Networks 基于主题的CQA网络问题清晰度分类方法
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685163
Alireza Khabbazan, A. A. Abin
{"title":"A Topic Based Method to Classify the Question Clarity in CQA Networks","authors":"Alireza Khabbazan, A. A. Abin","doi":"10.1109/IKT54664.2021.9685163","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685163","url":null,"abstract":"Better results would be obtained by distinguishing the clarity of questions as well as increasing their quality. This improvement in clarity may improve the output of a search engine when it encounters the query. Furthermore, it can lead to getting the correct answer to a question when asked in CQAs. In this regard, thousands of different questions are posted daily in CQAs, making these questions and their answers one of the world's most valuable information sources. Nonetheless, most of the questions posted in these forums do not result in proper answers, with one of the most important reasons being a lack of clarity in the questions. This paper addresses one of the most important issues in this field, which is classifying questions based on their clarity. For this purpose, a feature vector based on clustering approaches and obtaining similar questions is designed uniquely for each question based on the total data provided in this field. Following that, the questions are classified based on their clarity using a machine learning classification model. Furthermore, we investigated and reported our new approach using other related approaches in this field in the following step. What we describe as an accomplishment in this paper is the high separability of the questions based on the feature vector extracted by different clusters, which has a much higher performance when compared to other proposed textual classification methods.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131445998","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}
引用次数: 0
Classification of mental states of human concentration based on EEG signal 基于脑电图信号的人集中精神状态分类
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685731
Mehran Safari Dehnavi, V. Dehnavi, M. Shafiee
{"title":"Classification of mental states of human concentration based on EEG signal","authors":"Mehran Safari Dehnavi, V. Dehnavi, M. Shafiee","doi":"10.1109/IKT54664.2021.9685731","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685731","url":null,"abstract":"This paper provides a suitable method for classifying the EEG signal. In this article, a number of features are extracted from the EEG signal and by using these different features and networks, these signals are classified into three categories: relaxation, moderate concentration and high concentration. In this case, based on the amount of mental activity that has a direct effect on the EEG signal, the state of attention can be categorized. In this paper, four sensors (electrodes) are used to collect the voltage of the brain signals, then the Large Laplacian Filter is used to localize the signals, and by this method, the signals of the four sensors are converted into one signal, then the frequency of 50 Hz (City frequency) is removed using a Notch passive filter and then a wavelet filter is used to remove noise and artifacts. In this article, the diagnosis of mental states in the time domain is examined. Then, a window is determined on the measured signal and in these windows, various features are extracted and by using these features and machine learning methods, different mental states are categorized. Finally, the method used is tested on the data set and the results of the method is checked. One of the advantages of the proposed method is to reduce the number of network inputs based on PCA feature reduction method, which leads to a reduction in network volume, which is especially important in neural networks. In this article, we have tried to increase the accuracy of classification by using various features. Finally, we use to-fold cross validation.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132080960","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}
引用次数: 1
Customer Churn Prediction Using Data Mining Techniques for an Iranian Payment Application 使用数据挖掘技术预测伊朗支付应用程序的客户流失
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685502
Olya Rezaeian, Seyedhamidreza Shahabi Haghighi, J. Shahrabi
{"title":"Customer Churn Prediction Using Data Mining Techniques for an Iranian Payment Application","authors":"Olya Rezaeian, Seyedhamidreza Shahabi Haghighi, J. Shahrabi","doi":"10.1109/IKT54664.2021.9685502","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685502","url":null,"abstract":"Customer Relationship Management (CRM) and data-driven marketing have become of paramount importance in this age of evolved markets and fierce competition among businesses. One of the most important branches of CRM is retaining existing customers. Since customer acquisition is about 5 to 6 times more costly than retaining customers, achieving an accurate model for customer churn prediction is essential to devise marketing retention strategies. Therefore, in this study, ensemble models are proposed to predict customer churn. Since customer churn is a rare occurrence in an organization and causes an imbalanced distribution in the target variable, ensemble learning algorithms, one of the most efficient and widely used methods, have been used to deal with this problem. With regard to the case study, the dataset was generated on demographic and 13-month transactions of users of an Iranian payment application. In this study, the best model to predict customer churn is the bagging version of Decision Tree, reaching the highest accuracy, f-measure and AUC.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125371106","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}
引用次数: 1
An Efficient Link Prediction Method using Community Structures 一种基于社团结构的有效链路预测方法
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685400
Setareh Mokhtari, Hadi Shakibian
{"title":"An Efficient Link Prediction Method using Community Structures","authors":"Setareh Mokhtari, Hadi Shakibian","doi":"10.1109/IKT54664.2021.9685400","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685400","url":null,"abstract":"The problem of link prediction/recommendation requires to evaluate the scores of $O(n^{2})$ node pairs. While this exhaustive search could be computationally very expensive, it might also produces many zero links scores. In this paper, we propose a simple, efficient, and scalable link prediction method based on network communities. Given a complex network with community structures, the global link prediction problem is divided into several sub-problems. Each sub-problem is respon-sible for performing link prediction inside each community. The outputs of the sub-problems are combined to the final high-scored links. The results on several complex networks show the efficiency of the proposed method without sacrificing its prediction accuracy.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660269","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}
引用次数: 0
A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms 使用多目标进化算法考虑可用性程度和雾景观利用率的新型雾计算服务部署策略
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2021-12-14 DOI: 10.1109/IKT54664.2021.9685175
Maryam Eslami, Mehdi Sakhaei
{"title":"A Novel Service Deployment Policy in Fog Computing Considering The Degree of Availability and Fog Landscape Utilization Using Multiobjective Evolutionary Algorithms","authors":"Maryam Eslami, Mehdi Sakhaei","doi":"10.1109/IKT54664.2021.9685175","DOIUrl":"https://doi.org/10.1109/IKT54664.2021.9685175","url":null,"abstract":"Fog computing is a promising paradigm for real-time and mission-critical Internet of Things (IoT) applications. Regarding the high distribution, heterogeneity, and limitation of fog resources, applications should be placed in a distributed manner to fully utilize these resources. In this paper, we propose a linear formulation for assuring the different availability require-ments of application services while maximizing the utilization of fog resources. We also compare three multiobjective evolutionary algorithms, namely MOPSO, NSGA-II, and MOEA/D for a trade-off between the mentioned optimization goals. The evaluation results in the iFogSim simulator demonstrate the efficiency of all three algorithms and a generally better behavior of MOPSO algorithm in terms of obtained objective values, application deadline satisfaction, and execution time.","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127530838","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}
引用次数: 1
2020 11th International Conference on Information and Knowledge Technology (IKT) 2020年第十一届信息与知识技术国际会议(IKT)
2021 12th International Conference on Information and Knowledge Technology (IKT) Pub Date : 2020-12-22 DOI: 10.1109/ikt43170.2017
{"title":"2020 11th International Conference on Information and Knowledge Technology (IKT)","authors":"","doi":"10.1109/ikt43170.2017","DOIUrl":"https://doi.org/10.1109/ikt43170.2017","url":null,"abstract":"","PeriodicalId":274571,"journal":{"name":"2021 12th International Conference on Information and Knowledge Technology (IKT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115979604","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}
引用次数: 1
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