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AI-Powered Deep Packet Analyzer

delete2026-01-01
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PRE
AI
A
Aditi Vanikar *
R
Rana Vanikar
M
Mihir Sardesai
R
Rupesh Jaiswal
DOI：10.1007/978-981-96-7499-2_25delete
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摘要

摘要

En 中文
在当今网络化环境中，网络的安全性和性能依赖于对网络流量的监控和分析。本文讨论了我们通过深度包检测（DPI）分析镜像端口实时网络流量的系统概述。该系统包括通过将数据包分类为特定类别（如HTTP、视频流或其他协议）来深入了解网络应用使用情况的功能。该技术采用先进的机器学习算法和分类技术，以便及时识别和预警潜在的有害数据包。在检测到任何威胁时，系统会提醒用户，以便其采取适当的预防措施。该混合策略通过并发、实时的威胁检测和流量分类，确保了网络环境更高的可见性和安全性。
Keyword:
Intrusion detection system
Deep packet inspection
Machine learning

期刊

S
SMART TRENDS IN COMPUTING AND COMMUNICATIONS, SMARTCOM
IF:
0
论文数:
414
被引数:
0

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引用论文

引用论文

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err2021-07-01
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errLian Yu; Jingtao Dong; Lihao Chen; Mengyuan Li; Bingfeng Xu; Zhao Li; Lin Qiao; Lijun Liu; Bei Zhao; Chen Zhang
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Network Intrusion Detection System Based On Machine Learning Algorithms
errInternational Journal of Computer Science and Information Technology
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err2010-12-23
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NIDS: A Network Based Approach to Intrusion Detection and Prevention
err2009 International Association of Computer Science and Information Technology - Spring Conference
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err2009-01-01
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Packet Preprocessing in CNN-Based Network Intrusion Detection System
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