Systems and methods for network traffic analysis

    公开(公告)号:US10178117B2

    公开(公告)日:2019-01-08

    申请号:US15590303

    申请日:2017-05-09

    申请人: AOL Inc.

    IPC分类号: H04L29/06

    摘要: Systems and methods are disclosed for identifying malicious traffic associated with a website. One method includes receiving website traffic metadata comprising a plurality of variables, the website traffic metadata being associated with a plurality of website visitors to the website; determining a total number of occurrences associated with at least two of the plurality of variables of the website traffic metadata; generating a plurality of pairs comprising combinations of the plurality of variables of the website traffic metadata; determining a total number of occurrences associated with each pair of the plurality of pairs of combinations of the plurality of variables of the website traffic metadata; determining a plurality of visitor actions associated with the plurality of variables of the website traffic metadata; clustering each of the plurality of pairs and the plurality of visitor actions associated with the plurality of variables of the website traffic metadata into groups; and determining, based on the clustering of the plurality of pairs and the plurality of visitor actions, whether each of the plurality of website visitors are malicious visitors.

    Systems and methods for analyzing network data to identify human and non-human users in network communications

    公开(公告)号:US10567421B2

    公开(公告)日:2020-02-18

    申请号:US15604354

    申请日:2017-05-24

    申请人: AOL Inc.

    IPC分类号: H04L29/06 G06F21/31

    摘要: Systems and methods are disclosed for identifying human users on a network. One method includes receiving network data comprising data transmitted over a network over predetermined time period, the network data comprising a plurality of usernames and a plurality of events, wherein each of the plurality of events is associated with at least one of the plurality of usernames; determining a plurality of pairs, each pair of the plurality of pairs comprising a username of the plurality of usernames and an associated event of the plurality of events; determining qualifying pairs of the plurality of pairs, the qualifying pairs corresponding to a subset of the plurality of pairs that meet or exceed one or more predetermined event frequency thresholds; determining non-qualifying pairs of the plurality of pairs, the non-qualifying pairs corresponding to the subset of the plurality of pairs that do not meet or exceed one or more predetermined event frequency thresholds; generating at least one distribution associated with the qualifying pairs and non-qualifying pairs; and based on the at least one distribution, determining if at least one username of the plurality of usernames is associated with a human user or a non-human user.

    SYSTEMS AND METHODS FOR ANALYZING NETWORK DATA TO IDENTIFY HUMAN AND NON-HUMAN USERS IN NETWORK COMMUNICATIONS

    公开(公告)号:US20180343280A1

    公开(公告)日:2018-11-29

    申请号:US15604354

    申请日:2017-05-24

    申请人: AOL Inc.

    IPC分类号: H04L29/06 G06F21/31

    摘要: Systems and methods are disclosed for identifying human users on a network. One method includes receiving network data comprising data transmitted over a network over predetermined time period, the network data comprising a plurality of usernames and a plurality of events, wherein each of the plurality of events is associated with at least one of the plurality of usernames; determining a plurality of pairs, each pair of the plurality of pairs comprising a username of the plurality of usernames and an associated event of the plurality of events; determining qualifying pairs of the plurality of pairs, the qualifying pairs corresponding to a subset of the plurality of pairs that meet or exceed one or more predetermined event frequency thresholds; determining non-qualifying pairs of the plurality of pairs, the non-qualifying pairs corresponding to the subset of the plurality of pairs that do not meet or exceed one or more predetermined event frequency thresholds; generating at least one distribution associated with the qualifying pairs and non-qualifying pairs; and based on the at least one distribution, determining if at least one username of the plurality of usernames is associated with a human user or a non-human user.

    Systems and methods for providing meta-social graphs

    公开(公告)号:US09633376B2

    公开(公告)日:2017-04-25

    申请号:US14065216

    申请日:2013-10-28

    申请人: AOL Inc.

    摘要: Systems and methods are disclosed for providing a meta-social graph. In accordance with one implementation, a computerized method comprises collecting a plurality of different online identities of a first online user, each of the different online identities corresponding to a unique social network system. The method also includes collecting a plurality of communication data associated with the first user and determining bi-directional connections of the first user with other users from the collected communication data. In addition, the method may also include creating a meta-social graph from the determined bi-directional connections and the plurality of different online identities and generating a global identifier for the first user. The method also includes storing, in at least one memory device, the meta-social graph with at least one of the generated global identifier, the determined bi-directional connections, and the collected communication data.

    SYSTEMS AND METHODS FOR NETWORK TRAFFIC ANALYSIS

    公开(公告)号:US20180332058A1

    公开(公告)日:2018-11-15

    申请号:US15590303

    申请日:2017-05-09

    申请人: AOL Inc.

    IPC分类号: H04L29/06

    摘要: Systems and methods are disclosed for identifying malicious traffic associated with a website. One method includes receiving website traffic metadata comprising a plurality of variables, the website traffic metadata being associated with a plurality of website visitors to the website; determining a total number of occurrences associated with at least two of the plurality of variables of the website traffic metadata; generating a plurality of pairs comprising combinations of the plurality of variables of the website traffic metadata; determining a total number of occurrences associated with each pair of the plurality of pairs of combinations of the plurality of variables of the website traffic metadata; determining a plurality of visitor actions associated with the plurality of variables of the website traffic metadata; clustering each of the plurality of pairs and the plurality of visitor actions associated with the plurality of variables of the website traffic metadata into groups; and determining, based on the clustering of the plurality of pairs and the plurality of visitor actions, whether each of the plurality of website visitors are malicious visitors.

    Systems and Methods for Providing Meta-Social Graphs
    6.
    发明申请
    Systems and Methods for Providing Meta-Social Graphs 有权
    提供元社会图的系统和方法

    公开(公告)号:US20140122473A1

    公开(公告)日:2014-05-01

    申请号:US14065216

    申请日:2013-10-28

    申请人: AOL Inc.

    IPC分类号: G06F17/30

    摘要: Systems and methods are disclosed for providing a meta-social graph. In accordance with one implementation, a computerized method comprises collecting a plurality of different online identities of a first online user, each of the different online identities corresponding to a unique social network system. The method also includes collecting a plurality of communication data associated with the first user and determining bi-directional connections of the first user with other users from the collected communication data. In addition, the method may also include creating a meta-social graph from the determined bi-directional connections and the plurality of different online identities and generating a global identifier for the first user. The method also includes storing, in at least one memory device, the meta-social graph with at least one of the generated global identifier, the determined bi-directional connections, and the collected communication data.

    摘要翻译: 公开了用于提供元社交图的系统和方法。 根据一个实现,计算机化方法包括收集第一在线用户的多个不同的在线身份,每个不同的在线身份对应于唯一的社交网络系统。 该方法还包括收集与第一用户相关联的多个通信数据,并根据所收集的通信数据确定第一用户与其他用户的双向连接。 此外,该方法还可以包括从所确定的双向连接和多个不同的在线身份创建元社交图并且生成第一用户的全局标识符。 该方法还包括在至少一个存储器设备中使用生成的全局标识符,所确定的双向连接和所收集的通信数据中的至少一个来存储元社交图。

    Systems and methods for managing resetting of user online identities or accounts
    8.
    发明授权
    Systems and methods for managing resetting of user online identities or accounts 有权
    用于管理用户在线身份或帐户重置的系统和方法

    公开(公告)号:US09386011B2

    公开(公告)日:2016-07-05

    申请号:US14013972

    申请日:2013-08-29

    申请人: AOL Inc.

    摘要: Systems and methods are disclosed for managing the resetting of online identities or accounts of users of Internet web pages. One method includes: receiving, through an electronic device, a request to reset login information to access a web page associated with the user's online account; determining that an IP address associated with the request is not identified as being suspicious; receiving user data intrinsic to the user's request; automatically verifying two or more values of the data intrinsic to the user's request as being indicative of a level of trust of the identity of the user; and transmitting, to the user over the Internet, a subset of options to reset the login information, the subset being selected based on the level of trust.

    摘要翻译: 公开了用于管理互联网网页的用户的在线身份或帐户的重置的系统和方法。 一种方法包括:通过电子设备接收重置登录信息以访问与用户的在线帐户相关联的网页的请求; 确定与请求相关联的IP地址未被识别为可疑; 接收用户要求固有的用户数据; 自动验证用户请求所固有的数据的两个或更多值作为用户的身份的信任级别; 以及通过因特网向用户发送用于重置登录信息的选项的子集,所述子集基于所述信任级别来选择。