多管理域合作检测DDoS攻击的一个方法

为有效地防御分布式拒绝服务 DDoS(Distributed Denial of Service) 的 攻击,提出了基于多域间入侵检测系统 IDSs(Intrusion Detection Systems) 合作的攻击检测模型.围绕重要网络资源,构建了以〈路由器,IDS〉对为基础的闭合的IDS 合作环,通过环上节点间信息共享和合作组内的警报关联分析,能够在DDoS攻击数据包汇聚成致命攻击流之前捕获攻击特征并采取相关措施.提出了合作环组织方式、共享信息交换方式、警报关联算法以及各节点系统逻辑结构.利用原型多域合作入侵检测 MDCI(Multiple Domains Cooperative Intrusion-detection)系统实施了DDoS攻击实验,针对实验数据分析可以看出,合作环模型有效地提高了IDS系统对DDoS攻击的预警速度.      

磁暴对海南地区电离层扩展F的影响

利用2002年2月至2007年12月海南地区DPS-4测高仪观测数据, 用统计分析方法研究了磁暴对电离层扩展F的影响. 结果认为磁暴从整体上抑制了扩展F现象的发生. 但若把扩展F分为不同类型, 则结果却有所不同. 对于频率型(FSF), 在2002年和2003年磁暴对其有促发作用, 在2004---2007年有抑制作用; 对于区域型(RSF), 在2002---2005年磁暴对其有抑制作用, 在2006年和2007年, 对其有弱促发作用; 对于混合型(MSF), 在2002年磁暴对其有抑制作用, 在2003年和2004年有促发作用, 从2005年开始, 磁暴对其有抑制作用; 对于强区域型 (SSF), 在2002---2004年磁暴对其有抑制作用, 在2005年和2006年有促发作用, 2007年有弱抑制作用.      

基于实时观测数据的大气密度模式修正

针对国际大气密度模式NRLMSISE-00, 以中国神舟飞船探测数据为基础, 提出一种基于实时大气密度观测数据的模式修正方法. 通过计算分析模式计算结果与探测数据的误差分布特征, 针对地磁相对平静期(Ap≤ 30)模式计算的误差特点, 建立了一种平均误差修正方法, 即认为在相对平静期, 在相同纬度和地方时, 模式误差基本相同, 某一时刻模式预测误差可以近似用与其相同纬度和地方时的平均误差来替代, 从而对模式预测结果进行修正. 以神舟4号探测数据为基础, 通过对模式预测结果采用两种方式进行修正, 可以看到模式误差得到了一定的改善. 采用误差库累积准实时修正, 修正后的误差由原来的20 %降至6 %; 采用误差库5天滑动预报修正后, 模式提前1, 2, 3天的预测误差由原来的20 %分别降至7.8 %, 9.4 %和10.5%.      

基于动态RCS的无人机航迹实时规划

传统的无人机航迹规划主要采用仅考虑无人机与雷达距离的简化雷达威胁模型,未充分考虑无人机雷达散射截面RCS(Radar Cross-Section)随自身姿态角改变而产生的动态变化.据此,提出了无人机周向动态RCS模型,并建立了综合考虑无人机动态RCS与雷达距离的探测概率模型,利用遗传算法进行了基于动态RCS的航迹实时规划,计算结果与传统航迹规划结果进行了对比.仿真结果表明该模型的可行性和有效性,能充分利用无人机自身的优势规避威胁,满足无人机的航迹实时规划的要求.      

低纬(海南)地区电离层偶发E层的潮汐类周期研究

基于低纬(海南)台站(19.5°N,109.1°E)电离层测高仪在2004年观测到的偶发E层(Es)临界频率(f₀E_s)和虚高(h'E_s)数据,利用谱分析方法,给出了中国低纬地区Es层在全年和不同季节内的短周期变化特性.对全年数据谱分析表明,Es层除具有非常强的24h周期外,还具有显著的12h和8h周期.对不同季节内两个参数的谱分析进一步表明,8h周期主要出现在f₀E_s参数的春秋分季和夏末及在h'E_s参数的几乎所有季节;6h周期主要出现在f₀E_s参数的11-12月.海南低纬Es层中具有显著的6h和8h周期特性,特别是这两个周期还能同时出现在冬季,这是以往研究中不曾发现的新结果.初步分析认为,Es层的6h和8h周期极可能是分别由1/4日和1/3日潮汐所造成的.      

Digital signal processing and numerical analysis for radar in geophysical applications

Numerical solutions for signal processing are described in this work as a contribution to study of echo detection methods for ionospheric sounder design. The ionospheric sounder is a high frequency radar for geophysical applications. The main detection approach has been done by implementing the spread-spectrum techniques using coding methods to improve the radar’s range resolution by transmitting low power. Digital signal processing has been performed and the numerical methods were checked. An algorithm was proposed and its computational complexity was calculated.     

Systematic examination of the geomagnetic storm sudden commencement using multi resolution analysis

Geomagnetic storm sudden commencements (SSC) contain a wealth of information which is useful in many applications. It is important to point out that the SSCs used in this study are sampled at the rate of one sample per second in order get use of such high resolution data. In this paper, two studies are made on the geomagnetic SSC and an SSC onset automatic detection algorithm is introduced. The first study is about finding the relationship between the SSC rise time and its amplitude. Where it is found that there is a positive correlation between the amplitude and the amplitude gradient which is the amplitude divided by rise time. The second study is checking the spectrum of the SSC, starting from its onset until the end of the SSC rise time. This check had proved that the SSC contains both low and high frequency regions. This led us to introduce a new term, namely the SSC variation rate (VR). This VR is defined as the maximum rate of change of the field in the higher-frequency region of the SSC. These two studies were the guide to build an SSC automatic detector of one sample per second data using multi resolution analysis (MRA) of the discrete wavelet transform (DWT). The data set contains 134 SSCs with different VRs that were collected from the Circum-pan Pacific Magnetometer Network (CPMN). It is found that the standard deviation of the detection error is 41 s and that the average error is 9 s. From the calculated error distribution function, it is found that the detection error is within the range of −1.5 to 3 min. The detection process, as will be shown in the article, takes 70 s for one station and 3 min if the decision is related to the detection(s) of other stations. These results demonstrate the superiority of the proposed algorithm over other algorithms in which the detection error ranges between −8 and 5 min and the detection process takes 2–10 min. In addition to being faster and more accurate than the other algorithms, the proposed algorithm is the first algorithm that automatically detects the SSC onset times from high-resolution data unlike previous studies that focused on determining the SSC times automatically using one-minute resolution data.     

Testing the three-dimensional IRI-SIRMUP-P mapping of the ionosphere for disturbed periods

This paper describes the three-dimensional (3-D) electron density mapping of the ionosphere given as output by the assimilative IRI-SIRMUP-P (ISP) model for three different geomagnetic storms. Results of the 3-D model are shown by comparing the electron density profiles given by the model with the ones measured at two testing ionospheric stations: Roquetes (40.8°N, 0.5°E), Spain, and San Vito (40.6°N, 17.8°E), Italy. The reference ionospheric stations from which the autoscaled foF2 and M(3000)F2 data as well as the real-time vertical electron density profiles are assimilated by the ISP model are those of El Arenosillo (37.1°N, 353.3°E), Spain, Rome (41.8°N, 12.5°E), and Gibilmanna (37.9°N, 14.0°E), Italy. Overall, the representation of the ionosphere made by the ISP model is better than the climatological representation made by only the IRI-URSI and the IRI-CCIR models. However, there are few cases for which the assimilation of the autoscaled data from the reference stations causes either a strong underestimation or a strong overestimation of the real conditions of the ionosphere, which is in these cases better represented by only the IRI-URSI model. This ISP misrepresentation is mainly due to the fact that the reference ionospheric stations covering the region mapped by the model turn out to be few, especially for disturbed periods when the ionosphere is very variable both in time and in space and hence a larger number of stations would be required. The inclusion of new additional reference ionospheric stations could surely smooth out this concern.     

空间色噪声下信号频域检测方法性能分析

水下小孔径阵列的应用环境是色噪声环境,针对超增益波束形成方法在色噪声环境下噪声协方差矩阵估计偏差使阵列空间增益不能达到最大的问题,提出了一种频域超增益波束形成方法(FSD, Super-Directive beamforming in Frequency domain),该方法将宽带接收数据分成多个子带,在每个子带内分别估计噪声协方差矩阵,降低了噪声协方差矩阵的估计偏差,并使用估计得到的噪声协方差矩阵对接收数据解相关.最后使用空间谱检测器检测微弱目标信号.实测噪声数据的仿真结果表明,空间有色噪声环境中FSD方法的检测性能优于传统的时域超增益波束形成方法(TSD, Super-Directive beamforming in Time domain)2 dB,优于频域最小方差无畸变响应(FMVDR, Minimum Variance Distortionless Response in Frequency domain)波束形成方法2 dB.     

深空自主导航光学敏感器及其验证

利用光学导航敏感器进行深空自主导航在国际上已成为一种发展趋势,这种方法具有自主性强、精度高、节约成本等优点,且距离地球越远越显优势.在国内首次开展了用于深空巡航段的自主光学导航敏感器设计研制和验证工作,所研制的光学导航敏感器原型样机设计技术指标为:焦距953.8mm,视场角0.8°×0.8°,探测极限灵敏度12Mv,测量精度0.5″(1σ),动态范围100∶1.试验室测试和外场观星试验的结果表明,测量精度达到0.5″(1σ),探测极限灵敏度达到12.5Mv,技术指标全部满足要求.