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CCN中基于节点状态模型的缓存污染攻击检测算法
内容中心网络 缓存污染攻击 缓存状态模型 攻击检测
2016/12/3
针对内容中心网络中的缓存污染攻击问题，以污染内容数量、分布状态和攻击强度3个参数对缓存污染攻击进行定量描述和分析，建立了攻击下的节点缓存状态模型。通过分析节点关键参数的变化，提出了基于节点状态模型的攻击检测原则，并分别以单位时间缓存替换率和请求达到率为观测参数进行算法实例化设计。仿真结果与性能分析表明，所提检测算法在应对分散式攻击与集中式攻击时，可以取得良好的检测性能。
Asymptotic Equivalence of Spectral Density Estimation and Gaussian White Noise
Stationary Gaussian process spectral density Sobolev classes Le Cam distance asymptotic equivalence Whittle likelihood log-periodogram regression nonparametric Gaussian scale model signal in Gaussian white noise
2015/8/25
We consider the statistical experiment given by a sample y(1), . . . , y(n) of a stationary Gaussian process with an unknown smooth spectral density f. Asymptotic equivalence, in the sense of Le Cam’s...
ASYMPTOTIC EQUIVALENCE FOR NONPARAMETRIC REGRESSION
ASYMPTOTIC EQUIVALENCE NONPARAMETRIC REGRESSION
2015/8/25
We consider a nonparametric model En, generated by independent observations Xi, i = 1, ..., n, with densities p(x, θi), i = 1, ..., n, the parameters of which θi = f(i/n) ∈ Θ are driven by the values ...
Maximum likelihood estimation of a nonparametric signal in white noise by optimal control
Nonparametric signal in white noise Maximum likelihood Smoothness classes Extremal problems Optimal control Iterative solution
2015/8/25
We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise.The aim is to reduce these to standard problems of optimal control which can be solve...
The Asymptotic Minimax Constant for Sup-Norm Loss in Nonparametric Density Estimation
Density estimation exact constant optimal recovery uniform norm risk white noise
2015/8/25
We develop the exact constant of the risk asymptotics in the uniform norm for density estimation. This constant has first been found for nonparametric regression and for signal estimation in Gaussian ...
Asymptotic equivalence for nonparametric generalized linear models
Nonparametric regression Statistical experiment De® - ciency distance Global white noise approximation Exponential family Variance stabilizing transformation
2015/8/25
We establish that a non-Gaussian nonparametric regression model is asymptotically equivalent to a regression model with Gaussian noise. The approximation is in the sense of Le Cam's de®- ciency d...
Di€usion approximation for nonparametric autoregression
Nonparametric experiments de® ciency distance likelihood ratio process stochastic di€ erential equation autoregression di€ usion sampling asymptotic su ciency
2015/8/25
A nonparametric statistical model of small di€usion type is compared with its discretization by a stochastic Euler di€erence scheme. It is shown that the discrete and continuous models are a...
ASYMPTOTIC EQUIVALENCE OF DENSITY ESTIMATION AND GAUSSIAN WHITE NOISE
ASYMPTOTIC EQUIVALENCE DENSITY ESTIMATION GAUSSIAN WHITE NOISE
2015/8/25
Signal recovery in Gaussian white noise with variance tending to zero has served for some time as a representative model for nonparametric curve estimation, having all the essential traits in a pure f...
Asymptotic Equivalence of Density Estimation and Gaussian White Noise
Asymptotic Equivalence Density Estimation Gaussian White Noise
2015/8/25
Signal recovery in Gaussian white noise with variance tending to zero has served for some time as a representative model for nonparametric curve estimation, having all the essential traits in a pure f...
ON THE ESTIMATION OF A SUPPORT CURVE OF INDETERMINATE SHARPNESS
Convergence rate curve estimation endpoint order statistic regular variation support
2015/8/25
We propose nonparametric methods for estimating the support curve of a bivariate density, when the density decreases at a rate which might vary along the curve. Attention is focussed on cases where th...
It is shown that robust stability and robust performance questions for control systems with nonparametric uncertainties can be turned into those with a particularly simple parametric description. It i...
Identification of systems with parametric and nonparametric uncertainty
System parameters the parameter uncertainty the uncertainty information
2015/8/12
A method is presented for parameter set estimation for a system which contains both parametric and nonparametric uncertainty. Prior information is available about both types of uncertainty, but only t...
Parameter set estimation of systems with uncertain nonparametric dynamics and disturbances
Parameter set the parameter estimation system dynamics parameter estimation
2015/8/12
A method is presented for parameter set estimation of open-loop stable systems with uncertain parameters and quasi-stationary disturbances. The system model is assumed to contain both parametric and n...
Set-membership identification of systems with parametric and nonparametric uncertainty
Parameters parameter estimation system model the parameter uncertainty
2015/8/12
A method is presented for parameter set estimation where the system model is assumed to contain both parametric and nonparametric uncertainty. In the disturbance-free case, the parameter set estimate ...
三参数Weibull分布（TPWD）对于描述具有渐变性失效特征的失效模式，如机械产品磨损、疲劳、腐蚀、老化等的寿命分布具有更加明确的物理意义且具有很强的数据拟合能力，在产品可靠性分析中得到广泛应用。根据TPWD特点和竞争失效加速寿命试验（ALT）统计分析的工程实际，研究了TPWD竞争失效恒定应力ALT统计分析方法，建立了参数估计的极大似然估计(MLE)模型。实例结果表明，文中建立的TPWD的ALT...