The insider threat is one of the most moving issues to identify because of its perplexing nature and huge effect on associations. Insiders represent an extraordinary threat to associations because of their insight on the association and its security conventions, their approved access to the association's assets, and the trouble of perceiving the conduct of an insider threat from an ordinary representative's conduct. Thus, the insider-threat field faces the test of creating recognition arrangements that can identify threats without producing an incredible number of bogus positives and can mull over the non-specialized part of the issue. A possibility to concentrate on threat location was led to assess the recognition execution of the proposed arrangement and its ease of use. The field can profit from our proposed systematic approach that is scientific classification and novel arrangement of research that adds to the association and disambiguation of insider threat occurrences and the protection arrangements utilized against them. Clients with genuine access to delicate and confidential information have been authorized by insiders, who may know about the vulnerabilities of the systems and business types submitted. Numerous cyber-attacks brought about by malicious insiders are progressively hard to recognize contrasted with those of outside assailants whose impressions are more enthusiastically to cover up. The paper aims to propose a systematic approach to develop an advanced insider attacks detection module. The approach proposed in this paper will help the organization to early detect the insider threat and help them in performing more effectively in cyberspace.
{"title":"A Systematic Approach to Develop an Advanced Insider Attacks Detection Module","authors":"Keshav Kaushik","doi":"10.5455/JEAS.2021050104","DOIUrl":"https://doi.org/10.5455/JEAS.2021050104","url":null,"abstract":"The insider threat is one of the most moving issues to identify because of its perplexing nature and huge effect on associations. Insiders represent an extraordinary threat to associations because of their insight on the association and its security conventions, their approved access to the association's assets, and the trouble of perceiving the conduct of an insider threat from an ordinary representative's conduct. Thus, the insider-threat field faces the test of creating recognition arrangements that can identify threats without producing an incredible number of bogus positives and can mull over the non-specialized part of the issue. A possibility to concentrate on threat location was led to assess the recognition execution of the proposed arrangement and its ease of use. The field can profit from our proposed systematic approach that is scientific classification and novel arrangement of research that adds to the association and disambiguation of insider threat occurrences and the protection arrangements utilized against them. Clients with genuine access to delicate and confidential information have been authorized by insiders, who may know about the vulnerabilities of the systems and business types submitted. Numerous cyber-attacks brought about by malicious insiders are progressively hard to recognize contrasted with those of outside assailants whose impressions are more enthusiastically to cover up. The paper aims to propose a systematic approach to develop an advanced insider attacks detection module. The approach proposed in this paper will help the organization to early detect the insider threat and help them in performing more effectively in cyberspace.","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"51 1","pages":"33-41"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90738138","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: 10.17582/journal.jeas/40.1.78.90
Ishtiaq Ahmad, A. Usman, Khursheed Iqbal, S. rehman
{"title":"Estimating the Impacts of Corporate Governance of the Financial Performance on Non-Financial Firms of Bangladesh","authors":"Ishtiaq Ahmad, A. Usman, Khursheed Iqbal, S. rehman","doi":"10.17582/journal.jeas/40.1.78.90","DOIUrl":"https://doi.org/10.17582/journal.jeas/40.1.78.90","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89456757","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: 10.17582/journal.jeas/40.1.15.23
Mian Ibad Ali Shah, Y. Afridi, L. Hasan
{"title":"Descriptive Analysis of Pakistan’s COVID Data","authors":"Mian Ibad Ali Shah, Y. Afridi, L. Hasan","doi":"10.17582/journal.jeas/40.1.15.23","DOIUrl":"https://doi.org/10.17582/journal.jeas/40.1.15.23","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73011827","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: 10.17582/journal.jeas/40.2.100.109
J. A. Butt, Yasmin Nergis, Amjad Hussain, M. Sharif
{"title":"Physiochemical Assessment of Pakistani Thar Coal, A Solution for Sustainable Energy Crises and Reduced Environmental Impacts","authors":"J. A. Butt, Yasmin Nergis, Amjad Hussain, M. Sharif","doi":"10.17582/journal.jeas/40.2.100.109","DOIUrl":"https://doi.org/10.17582/journal.jeas/40.2.100.109","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82609886","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: 10.11648/j.eas.20210606.14
Amani Michel Kouassi, Relwinde Abdoul-Karim Nassa, Makouin Aissa Louise Toure
{"title":"Actualization of Climatic Parameters of the Empirical Methods of ORSTOM and CIEH: Case of Ivory Coast","authors":"Amani Michel Kouassi, Relwinde Abdoul-Karim Nassa, Makouin Aissa Louise Toure","doi":"10.11648/j.eas.20210606.14","DOIUrl":"https://doi.org/10.11648/j.eas.20210606.14","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88434672","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":"Friction and wear properties of oriented Polyamide 12 objects manufactured by SLS Technology","authors":"S. Aldahash","doi":"10.5455/jeas.2021110103","DOIUrl":"https://doi.org/10.5455/jeas.2021110103","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"86 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86954907","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: 10.17582/journal.jeas/40.1.44.51
A. Mushtaq, A. Nafees, R. Khan, A. Israr, Zaeem Uddin Ali
{"title":"Development of Enhanced Polymer Fiber Reinforced Concrete","authors":"A. Mushtaq, A. Nafees, R. Khan, A. Israr, Zaeem Uddin Ali","doi":"10.17582/journal.jeas/40.1.44.51","DOIUrl":"https://doi.org/10.17582/journal.jeas/40.1.44.51","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78998674","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":"Predicting Academic Performance of Students from Formative Assessment Methods using Machine Learning Algorithms","authors":"J. Gyani","doi":"10.5455/jeas.2021110106","DOIUrl":"https://doi.org/10.5455/jeas.2021110106","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81806122","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: 10.17582/journal.jeas/40.2.118.126
A. Rauf, Wisal Khan, M. S. Rafi, Nauman Khan
{"title":"Comparative Study of Temperature Change Effects on Precipitation for Upper Indus Basin Pakistan","authors":"A. Rauf, Wisal Khan, M. S. Rafi, Nauman Khan","doi":"10.17582/journal.jeas/40.2.118.126","DOIUrl":"https://doi.org/10.17582/journal.jeas/40.2.118.126","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79535826","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":"Smart Architecture of Patient Health Records Supported by Mathematical Model and Real Prototype","authors":"Mafawez T. Alharbi","doi":"10.5455/jeas.2021110101","DOIUrl":"https://doi.org/10.5455/jeas.2021110101","url":null,"abstract":"","PeriodicalId":15681,"journal":{"name":"Journal of Engineering and Applied Sciences","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90605333","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：