CAJ | 학술논문

利用高阶累积量切片对调频信号能量聚集和噪声抑制的特性，引入高阶累积量后置处理算子，提出一种新型的微弱性网络攻击信号高敏锐度检测算法。算法有效分离攻击信号的时频耦合，首先把信号采用离散分数阶傅立叶变换实现离散化处理，然后利用高阶累积量切片算子对攻击信号在分数阶傅立叶域上进行后置能量聚集，增大信号累积量，有效抑制了合法网络信号的背景干扰。仿真实验表明，新算法能在-15 dB低信噪比背景下，有效检测出隐蔽性很强的弱性网络攻击信号。能有效应用到计算机网络安全防御和对抗中。
이용고계루적량절편대조빈신호능량취집화조성억제적특성，인입고계루적량후치처리산자，제출일충신형적미약성망락공격신호고민예도검측산법。산법유효분리공격신호적시빈우합，수선파신호채용리산분수계부립협변환실현리산화처리，연후이용고계루적량절편산자대공격신호재분수계부립협역상진행후치능량취집，증대신호루적량，유효억제료합법망락신호적배경간우。방진실험표명，신산법능재-15 dB저신조비배경하，유효검측출은폐성흔강적약성망락공격신호。능유효응용도계산궤망락안전방어화대항중。
An improved and new detection algorithm was proposed for detecting the weak attack signal combined with cumu-lant post-processing operator. New algorithm could separate the time frequency coupling property. Discrete fractional Fouri-er transform (DFRFT) was presented as processing the signal firstly. The post energy was gathered in the fractional Fourier domain, the signal accumulation could be increased, and the legal network signal as the noise could be restrained effective-ly. Simulation results show that can detect the weak network attacking signal in strong concealment as the SNR is-15dB, but the traditional FRFT detection algorithm cannot detect the signal effectively. And it can be applied in the computer net-work security defense and confrontation areas in practice.