Pub Date : 2021-01-01DOI: 10.5455/jjcit.71-1617051919
Daouia Azzouz, S. Mazouzi
{"title":"A HYPER-SURFACE-BASED MODELING AND CORRECTION OF BIAS FIELD IN MR IMAGES","authors":"Daouia Azzouz, S. Mazouzi","doi":"10.5455/jjcit.71-1617051919","DOIUrl":"https://doi.org/10.5455/jjcit.71-1617051919","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"35 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819954","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 : 2021-01-01DOI: 10.5455/jjcit.71-1620292048
Bilal Doori, Ahmed Zurfi
{"title":"Decreasing the RA Collision Impact for Massive NB-IoT in 5G Wireless Networks","authors":"Bilal Doori, Ahmed Zurfi","doi":"10.5455/jjcit.71-1620292048","DOIUrl":"https://doi.org/10.5455/jjcit.71-1620292048","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820081","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 : 2021-01-01DOI: 10.5455/jjcit.71-1629527707
Zein Ashi, Laila Aburashed, M. Qudah, A. Qusef
Protecting the confidentiality, integrity and availability of cyberspace and network (NW) assets has become an increasing concern. The rapid increase in the Internet size and the presence of new computing systems (like Cloud) are creating great incentives for intruders. Therefore, security engineers have to develop new technologies to match growing threats to NWs. New and advanced technologies have emerged to create more efficient intrusion detection systems using machine learning (ML) and dimensionality reduction techniques, to help security engineers bolster more effective NW Intrusion Detection Systems (NIDSs). This systematic review provides a comprehensive review of the most recent NIDS using the supervised ML classification and dimensionality reduction techniques, it shows how the used ML classifiers, dimensionality reduction techniques and evaluating metrics have improved NIDS construction. The key point of this study is to provide up-to-date knowledge for new interested researchers.
{"title":"Network Intrusion Detection Systems Using Supervised Machine Learning Classification and Dimensionality Reduction Techniques: A Systematic Review","authors":"Zein Ashi, Laila Aburashed, M. Qudah, A. Qusef","doi":"10.5455/jjcit.71-1629527707","DOIUrl":"https://doi.org/10.5455/jjcit.71-1629527707","url":null,"abstract":"Protecting the confidentiality, integrity and availability of cyberspace and network (NW) assets has become an increasing concern. The rapid increase in the Internet size and the presence of new computing systems (like Cloud) are creating great incentives for intruders. Therefore, security engineers have to develop new technologies to match growing threats to NWs. New and advanced technologies have emerged to create more efficient intrusion detection systems using machine learning (ML) and dimensionality reduction techniques, to help security engineers bolster more effective NW Intrusion Detection Systems (NIDSs). This systematic review provides a comprehensive review of the most recent NIDS using the supervised ML classification and dimensionality reduction techniques, it shows how the used ML classifiers, dimensionality reduction techniques and evaluating metrics have improved NIDS construction. The key point of this study is to provide up-to-date knowledge for new interested researchers.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820400","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 : 2021-01-01DOI: 10.5455/jjcit.71-1626545510
Batoul Khazaie, Hamid Saadatfar
{"title":"WORKFLOW SCHEDULING ACCORDING TO DATA DEPENDENCIES IN COMPUTATIONAL CLOUDS","authors":"Batoul Khazaie, Hamid Saadatfar","doi":"10.5455/jjcit.71-1626545510","DOIUrl":"https://doi.org/10.5455/jjcit.71-1626545510","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820736","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 : 2021-01-01DOI: 10.5455/jjcit.71-1620148110
C. Gonzalez
{"title":"INCREASING SECURITY IN MILITARY SELF-PROTECTED SOFTWARE","authors":"C. Gonzalez","doi":"10.5455/jjcit.71-1620148110","DOIUrl":"https://doi.org/10.5455/jjcit.71-1620148110","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820000","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 : 2021-01-01DOI: 10.5455/jjcit.71-1629096728
Y. Tan, Yan Wong, S. Radzi
{"title":"BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION","authors":"Y. Tan, Yan Wong, S. Radzi","doi":"10.5455/jjcit.71-1629096728","DOIUrl":"https://doi.org/10.5455/jjcit.71-1629096728","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"14 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820387","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 : 2021-01-01DOI: 10.5455/jjcit.71-1632893264
Hadi Khosravi, Mohammad Ghasemigol
Wireless sensor networks (WSNs) are an applied technology widely used in various areas. According to the WSN limitations, they usually face many types of attacks. The sinkhole attack is the most popular and dangerous attack in the routing of WSNs. There are many approaches to counter sinkhole attacks in the literature. The mobile agent methods generate better results in facing sinkhole attacks and overcoming the WSN limitations. In this paper, we present a new mobile agent-based method that applies the trust value of each sensor to detect and prevent sinkhole attacks. We compute the trust values to inform the sensor nodes about their neighbors' reputations. As shown in the experiments, the proposed method generates better results in packet loss ratio. It also fixes the security flaws of previous works and reduces the agents' overhead in the network compared to previous methods.
{"title":"A Mobile Agent-Based Method to Counter Sinkhole Attacks in Wireless Sensor Networks","authors":"Hadi Khosravi, Mohammad Ghasemigol","doi":"10.5455/jjcit.71-1632893264","DOIUrl":"https://doi.org/10.5455/jjcit.71-1632893264","url":null,"abstract":"Wireless sensor networks (WSNs) are an applied technology widely used in various areas. According to the WSN limitations, they usually face many types of attacks. The sinkhole attack is the most popular and dangerous attack in the routing of WSNs. There are many approaches to counter sinkhole attacks in the literature. The mobile agent methods generate better results in facing sinkhole attacks and overcoming the WSN limitations. In this paper, we present a new mobile agent-based method that applies the trust value of each sensor to detect and prevent sinkhole attacks. We compute the trust values to inform the sensor nodes about their neighbors' reputations. As shown in the experiments, the proposed method generates better results in packet loss ratio. It also fixes the security flaws of previous works and reduces the agents' overhead in the network compared to previous methods.","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820478","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 : 2021-01-01DOI: 10.5455/jjcit.71-1618577670
Zohreh Harati, E. Tahanian, A. Tajary, Mansoor Fateh
{"title":"INTRODUCING A NEW ROUTING ALGORITHM For\u0000WIRELESS NETWORKS ON CHIP USING\u0000REINFORCEMENT LEARNING","authors":"Zohreh Harati, E. Tahanian, A. Tajary, Mansoor Fateh","doi":"10.5455/jjcit.71-1618577670","DOIUrl":"https://doi.org/10.5455/jjcit.71-1618577670","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70819963","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 : 2021-01-01DOI: 10.5455/jjcit.71-1627981530
Marwin B. Alejo
{"title":"UNCONSTRAINED EAR RECOGNITION USING TRANSFORMERS","authors":"Marwin B. Alejo","doi":"10.5455/jjcit.71-1627981530","DOIUrl":"https://doi.org/10.5455/jjcit.71-1627981530","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820786","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 : 2021-01-01DOI: 10.5455/jjcit.71-1626417940
A. Kaushik, Seba Susan
{"title":"TWO-WAY METRIC LEARNING WITH MAJORITY AND MINORITY SUBSETS FOR CLASSIFICATION OF LARGE EXTREMELY IMBALANCED FACE DATASET","authors":"A. Kaushik, Seba Susan","doi":"10.5455/jjcit.71-1626417940","DOIUrl":"https://doi.org/10.5455/jjcit.71-1626417940","url":null,"abstract":"","PeriodicalId":36757,"journal":{"name":"Jordanian Journal of Computers and Information Technology","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70820853","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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