CN114826690B - 一种基于边缘云环境的入侵检测方法和装置 - Google Patents
一种基于边缘云环境的入侵检测方法和装置 Download PDFInfo
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- CN114826690B CN114826690B CN202210342216.0A CN202210342216A CN114826690B CN 114826690 B CN114826690 B CN 114826690B CN 202210342216 A CN202210342216 A CN 202210342216A CN 114826690 B CN114826690 B CN 114826690B
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- 238000001514 detection method Methods 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 claims abstract description 44
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 32
- 238000012216 screening Methods 0.000 claims abstract description 20
- 230000008859 change Effects 0.000 claims description 33
- 238000012549 training Methods 0.000 claims description 30
- 230000008569 process Effects 0.000 claims description 20
- 238000013135 deep learning Methods 0.000 claims description 8
- 230000006870 function Effects 0.000 description 12
- 238000013528 artificial neural network Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
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- 238000007596 consolidation process Methods 0.000 description 4
- 238000012986 modification Methods 0.000 description 4
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- 238000005457 optimization Methods 0.000 description 3
- 239000013598 vector Substances 0.000 description 3
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- 238000003066 decision tree Methods 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
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- 238000013527 convolutional neural network Methods 0.000 description 1
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- 238000007477 logistic regression Methods 0.000 description 1
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- 238000007637 random forest analysis Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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CN116980165A (zh) * | 2022-12-30 | 2023-10-31 | 慧之安信息技术股份有限公司 | 一种基于边云协同的家居物联网入侵检测方法和系统 |
Citations (5)
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CN102819548A (zh) * | 2012-03-31 | 2012-12-12 | 常熟市支塘镇新盛技术咨询服务有限公司 | 基于聚类的循环集成动态选择方法 |
CN108023876A (zh) * | 2017-11-20 | 2018-05-11 | 西安电子科技大学 | 基于可持续性集成学习的入侵检测方法及入侵检测系统 |
CN108712404A (zh) * | 2018-05-04 | 2018-10-26 | 重庆邮电大学 | 一种基于机器学习的物联网入侵检测方法 |
CN109347872A (zh) * | 2018-11-29 | 2019-02-15 | 电子科技大学 | 一种基于模糊度和集成学习的网络入侵检测方法 |
CN110324178A (zh) * | 2019-06-05 | 2019-10-11 | 华东理工大学 | 一种基于多经验核学习的网络入侵检测方法 |
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US11606389B2 (en) * | 2019-08-29 | 2023-03-14 | Nec Corporation | Anomaly detection with graph adversarial training in computer systems |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102819548A (zh) * | 2012-03-31 | 2012-12-12 | 常熟市支塘镇新盛技术咨询服务有限公司 | 基于聚类的循环集成动态选择方法 |
CN108023876A (zh) * | 2017-11-20 | 2018-05-11 | 西安电子科技大学 | 基于可持续性集成学习的入侵检测方法及入侵检测系统 |
CN108712404A (zh) * | 2018-05-04 | 2018-10-26 | 重庆邮电大学 | 一种基于机器学习的物联网入侵检测方法 |
CN109347872A (zh) * | 2018-11-29 | 2019-02-15 | 电子科技大学 | 一种基于模糊度和集成学习的网络入侵检测方法 |
CN110324178A (zh) * | 2019-06-05 | 2019-10-11 | 华东理工大学 | 一种基于多经验核学习的网络入侵检测方法 |
Non-Patent Citations (2)
Title |
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基于分类器选择的集成学习算法研究;陈伟宏;《中国优秀硕士学位论文全文数据库信息科技辑》;第二、四章 * |
基于集成增量学习的入侵检测方法;高攀;《https://d.wanfangdata.com.cn/thesis/ChJUaGVzaXNOZXdTMjAyMzAxMTISCUQwMjU2MjM5NRoIc2RsNGs1ZnA%3D》;第二章 * |
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