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    • 1. 发明申请
    • METHODS AND APPARATUSES FOR DETERMINING AND DESIGNATING CLASSIFICATIONS OF ELECTRONIC DOCUMENTS
    • 用于确定和指定电子文件分类的方法和装置
    • WO2005043416A2
    • 2005-05-12
    • PCT/US2004/036598
    • 2004-11-02
    • CLOUDMARK, INC.PRAKASH, Vipul VedSTEMM, Mark
    • PRAKASH, Vipul VedSTEMM, Mark
    • G06F17/30
    • G06F17/30707
    • Embodiments of the invention provide methods and apparatuses for automatically determining and designating classifications of electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic documents is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The distances between multi-dimensional vectors are then evaluated. Multi-dimensional vectors within a specified distance of one another are considered to be a multi-dimensional vector cluster. The multi-dimensional vector space may contain one or more such clusters. Each cluster represents a distinct classification and the electronic documents corresponding to the multi-dimensional vectors of a cluster are classified as such. For one embodiment of the invention features of the electronic documents corresponding to the multi-dimensional vectors of a cluster are used to designate the classification represented by the cluster.
    • 本发明的实施例提供用于自动确定和指定电子文档分类的方法和装置。 根据本发明的一个实施例,基于多维向量空间将多个电子文档中的每一个简化为相应的多维向量。 然后评估多维向量之间的距离。 彼此指定距离内的多维向量被认为是多维向量簇。 多维向量空间可以包含一个或多个这样的簇。 每个集群表示不同的分类,并且对应于集群的多维向量的电子文档被分类。 对于本发明的一个实施例,使用与簇的多维向量相对应的电子文档的特征来表示由簇表示的分类。
    • 3. 发明申请
    • METHODS AND APPARATUSES FOR DETERMINING AND DESIGNATING CLASSIFICATIONS OF ELECTRONIC DOCUMENTS
    • 确定和指定电子文件分类的方法和设备
    • WO2005043416A3
    • 2005-07-21
    • PCT/US2004036598
    • 2004-11-02
    • CLOUDMARK INCPRAKASH VIPUL VEDSTEMM MARK
    • PRAKASH VIPUL VEDSTEMM MARK
    • G06F17/30
    • G06F17/30707
    • Embodiments of the invention provide methods and apparatuses for automatically determining and designating classifications of electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic documents is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The distances between multi-dimensional vectors are then evaluated. Multi-dimensional vectors within a specified distance of one another are considered to be a multi-dimensional vector cluster. The multi-dimensional vector space may contain one or more such clusters. Each cluster represents a distinct classification and the electronic documents corresponding to the multi-dimensional vectors of a cluster are classified as such. For one embodiment of the invention features of the electronic documents corresponding to the multi-dimensional vectors of a cluster are used to designate the classification represented by the cluster.
    • 本发明的实施例提供用于自动确定和指定电子文档的分类的方法和设备。 根据本发明的一个实施例,基于多维向量空间将多个电子文档中的每一个简化为对应的多维向量。 然后评估多维向量之间的距离。 相互指定距离内的多维矢量被认为是多维矢量聚类。 多维向量空间可以包含一个或多个这样的簇。 每个聚类代表一个独特的分类,并且与聚类的多维向量对应的电子文档被分类。 对于本发明的一个实施例,使用与集群的多维矢量相对应的电子文档的特征来指定由集群表示的分类。
    • 4. 发明申请
    • APPARATUS AND METHOD FOR IDENTIFYING DOMAIN NAME SYSTEM TUNNELING, EXFILTRATION AND INFILTRATION
    • 识别域名系统隧道,扩张和渗透的装置和方法
    • WO2016057377A1
    • 2016-04-14
    • PCT/US2015/053957
    • 2015-10-05
    • CLOUDMARK, INC.
    • COOK, NeilLEMARIE, OlivierSTEMM, Mark Richard
    • G06F11/00
    • H04L43/08H04L47/2425H04L61/1511H04L63/0272H04L63/1416H04L63/1466
    • A machine includes a processor and a memory connected to the processor. The memory stores instructions executed by the processor to preserve a second level domain, track requests for subdomains of the second level domain, determine the size of encoded subdomain data and determine the size of response data for subdomain requests. When the ratio of the number of unique subdomains versus the number of subdomain requests is over a first threshold a first satisfied condition is established. It is determined, in response to the first satisfied condition, when the size of the subdomain data exceeds a second threshold and the size of response data exceeds a third threshold to establish a second satisfied condition corresponding to deemed domain name system tunnel activity. It is determined, in response to the first satisfied condition, when the size of the subdomain data exceeds the second threshold to establish a third satisfied condition corresponding to deemed domain name system data exfiltration activity.
    • 机器包括处理器和连接到处理器的存储器。 存储器存储由处理器执行的指令以保留第二级域,跟踪对第二级域的子域的请求,确定编码的子域数据的大小并确定子域请求的响应数据的大小。 当唯一子域数与子域请求数之比超过第一阈值时,建立第一个满足条件。 确定响应于第一满足条件,当子域数据的大小超过第二阈值并且响应数据的大小超过第三阈值以建立与被认为的域名系统隧道活动相对应的第二满足条件时。 确定响应于第一满足条件,当子域数据的大小超过第二阈值以建立对应于被认为的域名系统数据exfiltration活动的第三满足条件时。
    • 9. 发明申请
    • METHODS AND APPARATUSES FOR CLASSIFYING ELECTRONIC DOCUMENTS
    • 用于分类电子文件的方法和设备
    • WO2005043417A2
    • 2005-05-12
    • PCT/US2004/036759
    • 2004-11-03
    • CLOUDMARK, INC.PRAKASH, Vipul, VedSTEMM, Mark
    • PRAKASH, Vipul, VedSTEMM, Mark
    • G06F17/30
    • H04L51/12Y10S707/99942
    • Embodiments of the invention provide methods and apparatuses for classifying electronic documents (e.g., electronic communications) as either spam electronic documents or legitimate electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic communications is reduced to a corresponding multidimensional vector based on a mufti-dimensional vector space. The mufti-dimensional vectors represent corresponding electronic documents that have been classified as at least one type of electronic documents. Subsequent electronic documents to be classified are reduced to a corresponding mufti-dimensional vector inserted into the mufti-dimensional vector space. The electronic documents corresponding to an inserted mufti-dimensional vector are classified based upon the proximity of the inserted mufti-dimensional vector to at least one previously classified mufti-dimensional vectors of the mufti-dimensional vector space.
    • 本发明的实施例提供了用于将电子文档(例如,电子通信)分类为垃圾电子文档或合法电子文档的方法和设备。 根据本发明的一个实施例,基于多维向量空间将多个电子通信中的每一个简化为对应的多维向量。 多维矢量表示已被分类为至少一种类型的电子文档的相应电子文档。 随后将被分类的电子文档被缩减为插入到多维矢量空间中的相应的多维矢量。 基于插入的多维矢量接近多维矢量空间的至少一个先前分类的多维矢量,对与插入的多维矢量对应的电子文档进行分类。