International Journal of Information and Communication Technology Research最新文献

Resource Management for a Multi-Channel Cognitive-NOMA D2D Network 多通道认知- noma D2D网络的资源管理

International Journal of Information and Communication Technology Research Pub Date : 2022-12-01 DOI: 10.52547/itrc.14.4.1

Javad Zeraatkar Moghaddam, M. Ardebilipour

引用次数: 0

Collaborative Mappers based on Co-evolutionary Optimization Technique in MapReduce 基于MapReduce协同进化优化技术的协同映射器

International Journal of Information and Communication Technology Research Pub Date : 2022-12-01 DOI: 10.52547/itrc.14.4.28

M. Ahmadi, D. Maleki

引用次数: 0

Digital Image Enhancement Through Bi-Histogram Equalization Using Entropy-Based Plateau Limit 利用基于熵的平台极限实现双直方图均衡化的数字图像增强

International Journal of Information and Communication Technology Research Pub Date : 2022-12-01 DOI: 10.52547/itrc.14.4.36

Vida Safardoulabi, K. Rahbar

引用次数: 0

Providing a Solution to Reduce Energy Consumption in IoT-Based WSNs Based on Node Activity Management 基于节点活动管理的物联网wsn能耗降低解决方案

International Journal of Information and Communication Technology Research Pub Date : 2022-12-01 DOI: 10.52547/itrc.14.4.9

M. Isvandi

引用次数: 0

Stance Detection Dataset for Persian Tweets 波斯语推文的姿态检测数据集

International Journal of Information and Communication Technology Research Pub Date : 2022-12-01 DOI: 10.52547/itrc.14.4.46

M. Bokaei, M. Farhoodi, Mona Davoudi

引用次数: 0

Spectrum Similarity-Based Quality Assessment Metric 基于谱相似度的质量评估度量

International Journal of Information and Communication Technology Research Pub Date : 2022-12-01 DOI: 10.52547/itrc.14.4.19

S. Aghapour Maleki, H. Ghassemian, M. Imani

引用次数: 0

Ransomware Modeling Based on a Process Mining Approach 基于过程挖掘方法的勒索软件建模

International Journal of Information and Communication Technology Research Pub Date : 2022-09-01 DOI: 10.52547/itrc.14.3.27

Ebrahim Mahdipour, Ali Aghamohammadpour, I. Attarzadeh

{"title":"Ransomware Modeling Based on a Process Mining Approach","authors":"Ebrahim Mahdipour, Ali Aghamohammadpour, I. Attarzadeh","doi":"10.52547/itrc.14.3.27","DOIUrl":"https://doi.org/10.52547/itrc.14.3.27","url":null,"abstract":"— Ransomware attacks are taking advantage of the ongoing coronavirus pandemics and attacking the vulnerable systems in the health sector. Modeling ransomware attacks help to identify and simulate attacks against security environments, using likely adversary techniques. Process Mining (PM) is a field of study that focuses on analyzing process logs linked with the execution of the processes of a system to acquire insight into the variety of characteristics of how the functions behave. This paper presents a PM conformance-based approach to determining ransomware processes. First, frequent ransomware techniques were identified using state-of-the-art MITRE ATT&CK. Then, a model was developed to gather ransomware techniques using a process-based approach. The PM-based Prom tool is used to check the conformance of malware processes alongside the presented model to illustrate its efficiency. The model can identify chain processes associated with ransom-related behaviors. In this study, the presented model was evaluated using thirty common malwares in the healthcare industry. The approach demonstrates that this model could successfully classify ninety percent of malware instances as ransomware and non-ransomware. Finally, guidelines for future research are provided. We believe the proposed method will uncover behavioral models that will enable us to hunt ransomware threats.","PeriodicalId":270455,"journal":{"name":"International Journal of Information and Communication Technology Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123093630","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

FDR Adjustment for Achieving Desired Minimum Distance of Marine ESIM from the Shore 实现海上ESIM与海岸的最小期望距离的FDR调整

International Journal of Information and Communication Technology Research Pub Date : 2022-09-01 DOI: 10.52547/itrc.14.3.1

Roghayeh Doost, P. Hajipour, Saber Shahidzadeh, Roghieh Roghieh Karimzadeh Baee

引用次数: 0

Improving Content-Based Recommender System For Clustering Documents Based on Ontology And New Hierarchical Clustering Method 基于本体和新的层次聚类方法改进基于内容的文档聚类推荐系统

International Journal of Information and Communication Technology Research Pub Date : 2022-09-01 DOI: 10.52547/itrc.14.3.37

Maryam Hourali, Mansoureh Hourali

{"title":"Improving Content-Based Recommender System For Clustering Documents Based on Ontology And New Hierarchical Clustering Method","authors":"Maryam Hourali, Mansoureh Hourali","doi":"10.52547/itrc.14.3.37","DOIUrl":"https://doi.org/10.52547/itrc.14.3.37","url":null,"abstract":"—Today we live in a period that is known to an area of communication. By increasing the information on the internet, the extra news are published on news agencies websites or other resources, the users are confused more with the problems of finding their desired information and related news. Among these are recommended systems they can automatically finding the news and information of their favorite’s users and suggesting to them too. This article attempts to improve the user’s interests and user’s satisfactions by refining the content based recommendation system to suggest better sources to their users. A clustering approach has been used to carry out this improvement. An attempt has been made to define a cluster threshold for clustering the same news and information in the K-means clustering algorithm. By detecting best resemblance criterion value and using an external knowledge base (ontology), we could generalize words into a set of related words (instead of using them alone). This approach is promoted the accuracy of news clustering and use the provided cluster to find user’s favorite news and also could have suggest the news to the user. Since the dataset has an important and influential role in advisory recommended systems, the standard Persian dataset is not provided and not published yet. In this research, an attempted has been made to connect and publish the dataset to finish the effect of this vacuum. The data are collected and crawl 8 periods of days from the Tabnak news agency website. The profile of each volunteers has been created and also saved at the same time as they read the favorite news on that period of time. An analysis shows that the proposed clustering approach provided by the NMI criterion has reached 70.2% on our the dataset. Also, using the suggested clustering recommendation system yield 89.2% performance based on the accuracy criterion, which shows an improvement of 8.5% in a standardized way.","PeriodicalId":270455,"journal":{"name":"International Journal of Information and Communication Technology Research","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132807428","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

DSMN: A New Approach for Link Prediction in Multilplex Networks DSMN:多路网络中链路预测的新方法

International Journal of Information and Communication Technology Research Pub Date : 2022-09-01 DOI: 10.52547/itrc.14.3.19

Samira Rafiee Samira Rafiee, Alireza Abdollahpouri

引用次数: 0