基于序列分析的僵尸网络检测模型

现有的IRC botnet检测技术不适合控制命令交互不频繁的botnet检测。为了实现小规模隐秘僵尸网络的检测,提出了一种基于序列分析的僵尸网络检测模型,对现有的被动检测技术进行补充。讨论了几种探测技术和检测算法,根据客户端响应类型选择检测算法,分析了平均检测轮数,只须观察少量的命令控制交互,能够对单个或多个IRC僵尸主机进行检测。实验结果表明,在保证误报率和漏报率的前提下该方法能在预定检测轮数内完成判定。     

改进的基于内容的文件类型识别算法

在现有基于内容的文件类型识别算法基础上,针对统计特征提取方面存在的问题,采用定长和变长窗口对文件二进制内容进行划分,提取文件的统计特征,并提出将特征选择应用于文件类型识别,结合特征的广度和稳定度设计出一种特征选择评估函数选择标志特征,从而建立文件类型模型,以此为标准识别文件类型.该算法不依靠特定文件类型的结构和关键标识...     

H.264/AVC帧间预测编码模式快速选择算法

通过对H.264/AVC帧间预测模式选择的实验观测,发现最近采用的SKIP/DIRECT模式或者16×16宏块模式,和当前块的选择模式有着空间和时间上的关联。依据这一现象,提出了一种快速的帧间自适应宏块模式选择算法。从验证模型JM7.6上的实验结果来看,在保持图像编码质量,视频编码比特没有太大增加的情况下,该算法对变化不是很剧烈的视频序列,可节省近50%的编码时间,对变化较为剧烈的视频序列,亦可节省近10%的编码时间,降低了原标准在进行帧间预测时的复杂度,提高了编码器的工作效率。     

一种面向主题的关键词查询扩展方法

提出一种基于局部统计和语义扩展相结合,面向主题的关键词查询扩展方法。该方法通过对给定主题的初始关键词搜索反馈网页进行分析,采用TF*PSF语义加权方法计算主题候选词的权重来进一步筛选主题关键词。在此基础上,设计了面向Web的主题关键词迭代查询扩展算法,采用主题关键词的组合查询策略,迭代扩展出主题的关键词集合。实验证明该方法是有效的。     

Dimensional precision simulation of the formed picture tube panel

In the forming process of picture tube panel, the accumulated residual stresses cause the formed part to shrink, and the thermal and mechanical loads cause the mold blocks to deform. These two factors result in large deviations on the dimensions of the formed panel, which are both modeled and simulated in this paper. For residual stresses analysis, a thermo-rheologically simple viscoelastic material model is introduced to consider the stresses relaxation effect and to describe the mechanical behavior according to the temperature change. The shrinkage of formed parts induced by the residual stresses is calculated based on the theory of shells, represented as an assembly of flat elements formed by combining the constant strain and the discrete Kirchhoff triangular elements. A thermoelastic model is presented to predict the deformation of the mold blocks during pressing, which is based on the steady mold temperature field and thermoelastic boundary element method. The integrated simulation results suggest the amounts that the mold cavity should be machined by, and have been verified by comparing the dimensional precision of the panels produced by the mold considering a uniform part shrinkage and mold expansion or the mold considering the predicted ununiform part shrinkage and mold deformation.     

Modeling Default Data Via an Interactive Hidden Markov Model

In this paper, we first introduce the use of an interactive hidden Markov model (IHMM) for modeling and analyzing default data in a sector. Under the IHMM, transitions of the hidden risk states of the sector depend on the observed number of bonds in the sector that default in the current time period. This incorporates the feedback effect of the number of defaults on the transitions of the hidden risk states. This feature seems to be more realistic and does not enjoy by the traditional HMMs. We then develop a “dynamic” version of the binomial expansion technique (BET) modulated by the IHMM for modeling the occurrence of defaults of bonds issued by firms in the same sector. Under the BET modulated by the IHMM, the number of bonds defaulting in each time period follows a Markov-modulated binomial distribution with the probability of defaulting of each bond depending on the states of the IHMM, which represent the hidden risk states of the sector. Efficient method will be presented for estimating the model parameters in the BET modulated by the IHMM. We shall compare the hidden risk state process extracted from the IHMM-modulated BET with that extracted from the BET modulated by HMM in order to illustrate the significance of the feedback effect using real data. We shall also present the estimation results for the BET modulated by the IHMM and compare them with those for the BET modulated by the HMM.     

基于文档空间向量距离的查询扩展

查询扩展是信息检索中优化查询的一种有效方法。在分析几种基于互信息的查询扩展方法的基础上,将检索词在文档空间中的距离引入到互信息计算中,提出基于向量距离的改进互信息的查询扩展方法。实验结果表明,该方法能够有效提高信息检索中的查询效果。     

基于差值扩展和纠错编码的可逆图像认证

针对一些敏感数字图像在认证水印嵌入过程中不能引入失真的问题,提出一种能够定位图像篡改块的可逆图像认证方案,利用纠错编码使认证数据能抵抗可能受到的篡改攻击,并用差值扩展的方式将编码后的认证数据嵌入到图像中。仿真实验结果表明,若认证通过,则图像可完全恢复到原始状态,否则,图像中篡改的块可被定位,并完全恢复其他未篡改的区域。     

一种安全高效的椭圆曲线密码抗功耗攻击算法

功耗攻击由于实现简单、攻击效率高已成为当前密码芯片最具威胁的攻击手段之一.为有效解决安全和效率两方面的矛盾,通过将椭圆曲线密码标量进行带符号阶乘展开式编码,并利用折半运算提高标量乘法运算效率,然后结合基点掩码实现抵抗功耗攻击,从而给出一种安全高效的抗功耗攻击椭圆曲线密码算法.算法的安全性及效率分析结果表明,所给抗功耗攻击算法不仅可以抵抗各种功耗攻击,并且与传统抗功耗攻击算法相比,新算法的运算效率提高了24.85％～ 25.73％,在各类资源受限的应用系统中具有较好的应用价值.     

基于AFE4400的反射式血氧饱和度检测系统

由于透射式血氧的检测方法受到使用范围限制,因此通过反射式来检测血氧饱和度成了发展的主流.介绍了一种以MSP430F5529为处理器,且基于TI血氧模拟前端芯片AFF4400的反射式脉搏血氧饱和度检测系统的设计方案.通过对比几种基于小波变换的滤波算法的去噪效果,选择最优的滤波算法,以MSP430F5529超微功耗单片机为核心处理器来实现对指尖脉搏信号的采集和降噪的处理.经过实际检验验证样机,基本实现了反射方式对脉搏血氧饱和度的检测功能.