AN INTELLIGENT CYBER SECURITY DETECTION AND RESPONSE PLATFORM

Song Zhuo, Y. Hong, T. Palaoag
{"title":"AN INTELLIGENT CYBER SECURITY DETECTION AND RESPONSE PLATFORM","authors":"Song Zhuo, Y. Hong, T. Palaoag","doi":"10.53555/cse.v8i12.2167","DOIUrl":null,"url":null,"abstract":"To further solve the cyber security challenges faced by the digital transformation of the Philippines university industry. This paper designed and proposed a cyber security detection and response platform (CSDRP), which can deal with traditional network security problems, improve the network security management capabilities of universities, and provide a method for real-time monitoring of network status and network security response in universities. With the outbreak of the epidemic, many universities in the Philippines have launched online courses and online services. These online courses and online services continue to proliferate, and with them come a host of cyber security risks and hidden dangers.\nCSDRP extracts logs through the traffic probes, and the platform performs correlation analysis on many security logs, combines relevant models and machine learning algorithms and generates response logs, which can be responded to and linked with policies, and finally presents relevant threats visually. This study deploys the platform in the actual network environment. The experimental results show that it provides accurate threat warnings, as well as good real-time detection and visualization of cyber threats, and can collect logs from different data sources in real time. linkage of safety equipment.","PeriodicalId":127566,"journal":{"name":"International Journal For Research In Advanced Computer Science And Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal For Research In Advanced Computer Science And Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53555/cse.v8i12.2167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

To further solve the cyber security challenges faced by the digital transformation of the Philippines university industry. This paper designed and proposed a cyber security detection and response platform (CSDRP), which can deal with traditional network security problems, improve the network security management capabilities of universities, and provide a method for real-time monitoring of network status and network security response in universities. With the outbreak of the epidemic, many universities in the Philippines have launched online courses and online services. These online courses and online services continue to proliferate, and with them come a host of cyber security risks and hidden dangers. CSDRP extracts logs through the traffic probes, and the platform performs correlation analysis on many security logs, combines relevant models and machine learning algorithms and generates response logs, which can be responded to and linked with policies, and finally presents relevant threats visually. This study deploys the platform in the actual network environment. The experimental results show that it provides accurate threat warnings, as well as good real-time detection and visualization of cyber threats, and can collect logs from different data sources in real time. linkage of safety equipment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
智能网络安全检测与响应平台
进一步解决菲律宾大学产业数字化转型所面临的网络安全挑战。本文设计并提出了一种网络安全检测与响应平台(CSDRP),可以解决传统的网络安全问题,提高高校网络安全管理能力,为高校网络状态实时监控和网络安全响应提供一种方法。随着疫情的爆发,菲律宾的许多大学都推出了在线课程和在线服务。这些网络课程和网络服务不断激增,随之而来的是一系列网络安全风险和隐患。CSDRP通过流量探测提取日志,平台对众多安全日志进行关联分析,结合相关模型和机器学习算法,生成响应日志,并与策略联动,最终将相关威胁可视化呈现。本研究将该平台部署到实际的网络环境中。实验结果表明,该方法能够提供准确的威胁预警,对网络威胁具有良好的实时检测和可视化能力,能够实时收集不同数据源的日志。安全设备的联动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
PERSONALITY CLASSIFICATION OF TEXT THROUGH MACHINE LEARNING AND DEEP LEARNING: A REVIEW (2023) BAYESIAN NETWORK DESIGN FOR A DECISION SUPPORT SYSTEM IN SOUTH ASIAN E-COMMERCE MANAGEMENT PANNES DES ORDINATEURS A LA CARITAS/KINDU ET MODE OPERATOIRE DE LEUR MAINTENANCE DE 2019 A 2021 SYSTEME D’INFORMATION GEOGRAPHIQUE. : OUTIL EFFICACE POUR LA GESTION DU FONCIER AU SERVICE DU CADASTRE KINDU PROBLEMATIQUE DE L’ENSEIGNEMENT DU COURS D’INFORMATIQUE DANS LES ECOLES SECONDAIRES EN PROVINCE DU MANIEMA Cas de la commune Kasuku à Kindu
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1