摘要：【中文】本发明提供一种面向IP定位的网络拓扑边界路由IP识别算法，不再局限于D‑Based特定的时延分布，而依据路径中的单跳时延与城市时延阈值的差异，识别边界路由IP；与传统方法更为不同的是，在时延差异特性不明显时，本发明结合路径中不同城市的路由IP主机名的差异性，进一步识别边界路由IP，提升可识别的路径比例；同中美10个目标城市百万级地标探测结果进行实验测试，表明相比于D‑Based、P‑Based方法，本发明在可识别的路径比例上分别提高了约103.0%、69.5%；获取的目标城市节点数量分别约为该两种方法的1.7、1.9倍，节点位置的准确性分别提高了约48.3%、16.9%；采用本发明获取的拓扑数据，使SLG、LENCR、Geo‑RMP三种经典的街道级IP定位方法定位成功率最大分别提升75.8%、61.2%、71.7%。 【EN】The invention provides an IP positioning-oriented network topology boundary routing IP identification algorithm, which is not limited to D-Based specific time delay distribution any more, but identifies a boundary routing IP according to the difference between single-hop time delay in a path and an urban time delay threshold; compared with the traditional method, the method is more different in that when the time delay difference characteristic is not obvious, the method further identifies the boundary route IP by combining the difference of the route IP host names of different cities in the route, and improves the identifiable route proportion; the experiment test is carried out on the million-level landmark detection results of 10 target cities in China and America, and the method shows that compared with the D-Based and P-Based methods, the method has the advantages that the recognizable path proportion is respectively improved by about 103.0 percent and 69.5 percent; the number of the obtained target city nodes is about 1.7 and 1.9 times of the two methods respectively, and the accuracy of the node positions is improved by about 48.3 percent and 16.9 percent respectively; by adopting the topological data acquired by the invention, the positioning success rate of three classic street level IP positioning methods, namely SLG, LENCR and Geo-RMP, is respectively increased by 75.8%, 61.2% and 71.7% to the maximum.

摘要：【中文】本发明公开了一种基于路由器误差训练的IP定位方法，包括如下步骤，对目标城市地标集进行采样，划分出训练集和验证集，对训练集进行扩展，得到探测集，对路由器进行提取，通过采集探测源到探测集节点的路径，从中提取出目标城市的城域网拓扑，对路由器进行训练，通过到训练集节点的路径来训练路由器定位结果，通过到验证集节点的路径来训练路由器定位误差，对IP进行面向街道级的定位，采集探测源到目标的路径，寻找其与目标城市城域网拓扑的重合部分，并得到最终定位结果。本发明能够解决现有方法无法给出单次定位结果的误差的问题，并能够实现对城市中定位目标的位置估计与误差范围估计，在得到误差范围的同时，也具有更好的定位效果。 【EN】The invention discloses an IP positioning method based on router error training, which comprises the following steps of sampling a target city landmark set, dividing a training set and a verification set, expanding the training set to obtain a detection set, extracting a router, extracting a metropolitan area network topology of a target city from the city metropolitan area network topology by collecting a path from a detection source to a detection set node, training the router, training a router positioning result by the path to the training set node, training a router positioning error by the path to the verification set node, positioning the IP facing to a street level, collecting the path from the detection source to the target, searching a superposition part of the detection source and the metropolitan area network topology of the target city, and obtaining a final positioning result. The method can solve the problem that the existing method can not provide the error of a single positioning result, can realize position estimation and error range estimation of a positioning target in a city, and has better positioning effect while obtaining the error range.

摘要：【中文】本发明公开了一种基于服务识别和域名关联的街道级地标获取方法，首先从已知服务类型的IP的扫描结果中提取和约简特征，得到训练特征，并利用训练特证进行分类器训练得到IP分类器，使用IP分类器识别未知服务类型的IP所承载服务得到服务器IP；然后，基于统计得到的机构信息与域名间的关系，根据机构名估计机构域名关键字，构建目标区域的机构信息库，实现机构地理位置和域名间的映射；最后，将识别得到的服务器IP转换成域名，使用数据库查询、在线地图搜索和机构信息库匹配等策略获得该域名的地理位置，从而获得街道级地标，并对地标的可靠性进行评估，获得可靠街道级地标；本发明提升了获取的街道级地标数量。 【EN】The invention discloses a street-level landmark obtaining method based on service identification and domain name association, which comprises the steps of firstly extracting and simplifying features from the scanning result of an IP (Internet protocol) of a known service type to obtain training features, utilizing the training features to train a classifier to obtain an IP classifier, and identifying the service borne by the IP of the unknown service type by using the IP classifier to obtain a server IP; then, based on the relation between the mechanism information and the domain name obtained by statistics, estimating the domain name keyword of the mechanism according to the mechanism name, and constructing a mechanism information base of a target area to realize the mapping between the geographic position of the mechanism and the domain name; finally, converting the identified server IP into a domain name, obtaining the geographic position of the domain name by using the strategies of database query, online map search, mechanism information base matching and the like, thereby obtaining a street-level landmark, and evaluating the reliability of the landmark to obtain a reliable street-level landmark; the invention improves the quantity of the obtained street-level landmarks.

摘要：【中文】本发明提供了一种面向IP定位的大规模网络别名解析方法，包括以下步骤：步骤1：从公开数据中获取存在别名关系的IP对集合和不存在别名关系的IP对集合；步骤2：获取每个IP的时延、探测路径、ISP及Whois信息；步骤3：利用步骤2的数据对待解析的IP对进行非别名IP过滤；步骤4：利用步骤2的数据对待解析的IP对进行分类特征表示；步骤5：分类模型训练；步骤6：利用步骤5的分类模型对待解析的IP对别名解析；本发明提出了一种面向IP定位的大规模网络别名解析方法，可对大规模网络中的路由器接口IP进行准确、高效的别名解析；本发明提出了非别名IP过滤方法，排除不可能存在别名关系的IP对，提高别名解析的效率。 【EN】The invention provides an IP positioning-oriented large-scale network alias analysis method, which comprises the following steps: step 1: acquiring an IP pair set with an alias relationship and an IP pair set without the alias relationship from public data; step 2: acquiring time delay, a detection path, ISP (Internet service provider) and Whois information of each IP; and step 3: carrying out non-alias IP filtering on the IP pair to be analyzed by using the data in the step (2); and 4, step 4: carrying out classification characteristic representation on the IP pair to be analyzed by using the data in the step 2; and 5: training a classification model; step 6: analyzing the alias of the IP to be analyzed by using the classification model in the step 5; the invention provides an IP positioning-oriented large-scale network alias analysis method, which can accurately and efficiently analyze alias of a router interface IP in a large-scale network; the invention provides a non-alias IP filtering method, which eliminates IP pairs which cannot have alias relations and improves alias analysis efficiency.

摘要：【中文】本发明公开了一种抗统计检测及抗缩放攻击的图像隐写方法，包括计算缩放因子、预处理并对载体图像模拟缩放因子为的缩放过程、基于反向插值运算的信息实际嵌入规则的构建、基于位置映射的信息嵌入算法和提取信息；本发明通过将信息实际嵌入值与信息实际嵌入点一一对应构，提出一种基于反向插值运算的信息嵌入规则构造算法，保证信息的提取正确率，即能够从遭受缩放攻击后的图像中正确提取信息，提高图像隐写方法的抗缩放攻击能力，通过采用基于位置映射的信息嵌入算法，当载密图像遭受缩放攻击后，不仅能够保证嵌入信息的正确提取，而且有效提高遭受缩放攻击的载密图像的抗统计检测性能。 【EN】The invention discloses an image steganography method for resisting statistical detection and scaling attack, which comprises the steps of calculating a scaling factor, preprocessing, simulating a scaling process of the scaling factor to a carrier image, constructing an information actual embedding rule based on reverse interpolation operation, embedding an algorithm based on position mapping and extracting information; the invention provides an information embedding rule construction algorithm based on reverse interpolation operation by constructing the information actual embedding value and the information actual embedding point in a one-to-one correspondence manner, thereby ensuring the extraction accuracy of the information, namely correctly extracting the information from the image subjected to the zooming attack, and improving the anti-zooming attack capability of the image steganography method.

摘要：【中文】本发明公开了一种基于节点排序的城市级IP定位方法，包括如下步骤，通过通用的均匀地标选择算法在给定地标集中选取均匀分布的地标；构建网络拓扑图；基于遍历节点的度中心性和路径数，寻找较小的稳定节点；对重要节点根据一跳延迟和延迟矢量约束将节点分为两类；根据较小的稳定节点来对目标IP进行定位。本发明通过结合地图服务设计了一种通用的均匀地标选择算法（EDLS），EDLS减小了地标的使用数量从而降低网络负载，在一定程度上缓解了网络测量过程中由负载均衡引起的测量异常。进一步的通过使用节点的度中心性和穿过节点的路径数量对节点排序以找出重要节点，然后通过具有复杂度低可靠性高等优点的排序算法，选出的节点有很多利于定位的特性。 【EN】The invention discloses a node sorting-based urban IP positioning method, which comprises the following steps of selecting uniformly distributed landmarks in a given landmark set through a universal uniform landmark selection algorithm; constructing a network topological graph; searching a smaller stable node based on the degree centrality and the path number of the traversal node; dividing the important nodes into two types according to one-hop delay and delay vector constraint; and positioning the target IP according to the smaller stable node. The invention designs a universal uniform landmark selection algorithm (EDLS) by combining map services, the EDLS reduces the number of landmarks used so as to reduce network load, and the measurement abnormity caused by load balance in the network measurement process is relieved to a certain extent. And further, the nodes are sorted by using the degree centrality of the nodes and the number of paths passing through the nodes to find out important nodes, and then the selected nodes have characteristics of being beneficial to positioning through a sorting algorithm with the advantages of low complexity, high reliability and the like.