国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

基于大數據技術(shù)的智慧校園安全管控平臺設計研究
DOI:
CSTR:
作者:
作者單位:

廣東科學(xué)技術(shù)職業(yè)學(xué)院

作者簡(jiǎn)介:

通訊作者:

中圖分類(lèi)號:

TN915.08

基金項目:

廣東省教育廳特色創(chuàng )新項目(2020KTSCX240)


Research on the Design of Smart Campus Security Management and Control Platform Based on Big Data Technology
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪(fǎng)問(wèn)統計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    針對傳統校園網(wǎng)絡(luò )安全防御手段已無(wú)法應對當前大數據背景下的智慧校園安全威脅問(wèn)題,提出一種基于大數據技術(shù)的智慧校園安全管控平臺設計方案。該方案將智慧校園體系分層、分類(lèi)設計安全防護機制,實(shí)現對智慧校園安全的粒度防護管理;運用大數據技術(shù)構建智慧安全大腦,解決了智慧校園數據混亂、數據關(guān)聯(lián)難問(wèn)題,實(shí)現智慧校園數據融合存儲;通過(guò)智能運營(yíng)管理平臺全面感知智慧校園安全態(tài)勢,實(shí)現風(fēng)險預測、安全預警、安全處置以及防護加固智能聯(lián)動(dòng)。通過(guò)模擬攻擊測試與安全風(fēng)險評估,部署智慧校園安全平臺后智慧校園安全防御能力明顯加強和安全風(fēng)險等級明顯降低,經(jīng)過(guò)實(shí)際應用分析智慧校園安全告警和自我處置能力也明顯提高。

    Abstract:

    Aiming at the problem that the traditional campus network security defense means can no longer deal with the security threat of smart campus under the current big data background, a design scheme of smart campus security management and control platform based on big data technology is proposed. In this scheme, the smart campus system is layered and classified to design the security protection mechanism, which realizes the granular protection management of the smart campus security;The big data technology is used to build a smart security brain, which solves the problems of data confusion and data association in smart campus, and realizes data fusion storage in smart campus;Fully perceive the security situation of smart campus through the intelligent operation management platform, and realize the intelligent linkage of risk prediction, security early warning, security disposal and protection and reinforcement.Through simulated attack test and security risk assessment, after deploying the smart campus security platform, the security defense capability of the smart campus is significantly strengthened and the security risk level is significantly reduced. Through practical application analysis, the security alarm and self-treatment capability of the smart campus are also significantly improved. Key words: smart campus; intelligent and safe brain; data fusion; safety management and control platform; security situation

    參考文獻
    相似文獻
    引證文獻
引用本文

廖海生.基于大數據技術(shù)的智慧校園安全管控平臺設計研究計算機測量與控制[J].,2021,29(10):133-138.

復制
分享
文章指標
  • 點(diǎn)擊次數:
  • 下載次數:
  • HTML閱讀次數:
  • 引用次數:
歷史
  • 收稿日期:2021-08-04
  • 最后修改日期:2021-09-01
  • 錄用日期:2021-09-02
  • 在線(xiàn)發(fā)布日期: 2021-11-11
  • 出版日期:
文章二維碼
磐安县| 民权县| 铜梁县| 徐闻县| 宝山区| 图木舒克市| 景德镇市| 太白县| 阜康市| 大新县| 剑河县| 正宁县| 余江县| 濉溪县| 新和县| 沧源| 南陵县| 宁明县| 明水县| 紫金县| 报价| 永修县| 福建省| 越西县| 通海县| 扎赉特旗| 油尖旺区| 泸定县| 防城港市| 清新县| 安福县| 根河市| 通城县| 津南区| 昌邑市| 垣曲县| 溆浦县| 将乐县| 黄平县| 高邮市| 清涧县|