基于声音增强的计算机网络信息入侵检测方法
Intrusion Detection Method for Computer Network Information Based on Voice Enhancement
周海1
作者信息
- 1. 贵州财经大学 信息学院,贵州 贵阳 550001
- 折叠
摘要
提出一种基于声音增强技术的计算机网络信息入侵检测方法,通过自适应滤波、椭圆曲线加密(Elliptic Curve Cryptography,ECC)、隐马尔科夫模型(Hidden Markov Model,HMM)处理和分析语音信号,提升计算机系统的安全性和检测准确性.实验验证表明,应用该方法能够有效减少噪声干扰,保障语音数据传输安全,并准确识别异常行为.
Abstract
Propose a computer network information intrusion detection method based on voice enhancement technology.Through adaptive filtering,Elliptic Curve Cryptography(ECC),and Hidden Markov Model(HMM),voice signals are processed and analyzed to improve system security and detection accuracy.Experimental results demonstrate that the application of this method can effectively reduces noise interference,ensures secure voice data transmission,and accurately detects abnormal behavior.
关键词
声音增强技术/计算机网络信息/入侵检测/语音信号Key words
voice enhancement technology/computer network information/intrusion detection/voice signals引用本文复制引用
出版年
2024
NETL
NSTL
万方数据