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    MOBILE DEVICE LOCATION ANOMALY DETECTION BASED ON NON-LOCATION INFORMATION
    131.
    发明申请
    MOBILE DEVICE LOCATION ANOMALY DETECTION BASED ON NON-LOCATION INFORMATION 审中-公开

    公开(公告)号：US20190306826A1

    公开(公告)日：2019-10-03

    申请号：US16370958

    申请日：2019-03-30

    Applicant: Avast Software s.r.o.

    Inventor： Juyong Do ,  Rajarshi Gupta ,  Leo H. Kwong

    IPC: H04W64/00 ,  H04W8/24 ,  H04B17/318 ,  H04W4/029

    Abstract: A location anomaly for a mobile device can be detected using non-location information from the mobile device. The non-location information does not include data from a location based device, such as a GPS. A probabilistic model is created using historical non-location information accumulated from the mobile device. Current non-location data is compared with the probabilistic model to determine a probability associated with the current non-location information. If the probability is less than a predetermined or configurable threshold, a location anomaly is detected. A notification of the location anomaly may be displayed and/or transmitted in response to detecting the location anomaly.

    Detection of malware in derived pattern space
    132.
    发明授权
    Detection of malware in derived pattern space 有权

    公开(公告)号：US10200391B2

    公开(公告)日：2019-02-05

    申请号：US15275039

    申请日：2016-09-23

    Applicant: Avast Software s.r.o.

    Inventor： Libor Mo{hacek over (r)}kovský

    IPC: H04L29/06

    Abstract: Systems and methods analyze input files to automatically determine malware signatures. A set of input files known to contain a particular type of malware can be provided to a file analyzer. The file analyzer can analyze the file using a sliding window to create vectors from values that are provided by multiple filters that process each window. The vectors created for a file define a response matrix. The response matrices for a set of input files can be analyzed by a classifier to determine useful vector components that can define a signature for the malware.

    Identification of mislabeled samples via phantom nodes in label propagation
    133.
    发明授权
    Identification of mislabeled samples via phantom nodes in label propagation 有权

    公开(公告)号：US10198576B2

    公开(公告)日：2019-02-05

    申请号：US15374865

    申请日：2016-12-09

    Applicant: Avast Software s.r.o.

    Inventor： Martin Vejmelka

    IPC: G06F21/53 ,  G06F21/56

    Abstract: Systems and method identify potentially mislabeled file samples. A graph is created from a plurality of sample files. The graph includes nodes associated with the sample files and behavior nodes associated with behavior signatures. Phantom nodes are created in the graph for those sample files having a known label. During a label propagation operation, a node receives data indicating a label distribution of a neighbor node in the graph. In response to determining that the current label for the node is known, a neighborhood opinion is determined for the associated phantom node, based at least in part on the label distribution of the neighboring nodes. After the label propagation operation has completed, differences between the neighborhood opinion and the current label distribution for nodes are determined. If the difference exceeds a threshold, then the current label may be incorrect.

    IDENTIFYING SPAM CALLERS IN CALL RECORDS
    134.
    发明申请
    IDENTIFYING SPAM CALLERS IN CALL RECORDS 审中-公开

    公开(公告)号：US20180288221A1

    公开(公告)日：2018-10-04

    申请号：US15937369

    申请日：2018-03-27

    Applicant: Avast Software s.r.o.

    Inventor： Jiri Dutkevic ,  Martin Horváth ,  Juraj Chrappa ,  Vojtech Tûma

    IPC: H04M3/22 ,  H04M3/436

    Abstract: Phone numbers can be identified as being associated with spam callers. Data associated with previously identified spammer phone numbers is analyzed to obtain one or more input parameters for a classification engine. The classification engine uses the input parameters to identify one or more phone numbers in data associated with currently active phone numbers as being associated with spam callers. The one or more phone numbers identified as being associated with spam callers can be provided to call blockers of end-user telephone devices.

    SYSTEMS AND METHODS FOR RECOMMENDING SOFTWARE BASED ON USER SIMILARITY
    136.
    发明申请
    SYSTEMS AND METHODS FOR RECOMMENDING SOFTWARE BASED ON USER SIMILARITY 审中-公开

    公开(公告)号：US20170287048A1

    公开(公告)日：2017-10-05

    申请号：US15472474

    申请日：2017-03-29

    Applicant: Avast Software s.r.o.

    Inventor： Thomas Salomon ,  Denis Shtyrov

    IPC: G06Q30/06 ,  G06F17/30

    Abstract: Systems and methods for determining software recommendations for a user. A first application list of applications installed on a user's computer is received. A distribution score is determined for each application in the first application list. A set of least distributed applications is determined based on the distribution score. A similarity score is determined for each user in a set of users having one or more applications of the set of least distributed applications installed on their respective systems. A second list of applications is determined based on applications installed by users in the set of users having a similarity score above a threshold. Recommendations for applications in the first list of applications are determined based, at least in part, on typicality scores for the applications.

    EXTENDING A CLASSIFICATION DATABASE BY USER INTERACTIONS
    137.
    发明申请
    EXTENDING A CLASSIFICATION DATABASE BY USER INTERACTIONS 审中-公开

    公开(公告)号：US20170083607A1

    公开(公告)日：2017-03-23

    申请号：US15272961

    申请日：2016-09-22

    Applicant: Avast Software s.r.o.

    Inventor： Pavel Studený

    IPC: G06F17/30 ,  G06F17/24

    CPC classification number: G06F17/243 ,  G06F16/958

    Abstract: Web page items and other requests can be automatically categorized. An interaction with a web page item can be categorized based on previous categorizations of other web page items in which the same or similar data has been entered into a web page. A classification database containing categories of classified web page items is maintained. An interaction database containing interaction records of a user is maintained. The interaction records include a value corresponding to the user and a web page item. A web page item on a web page visited by a user and that is a user-fillable field that has been previously categorized in the classification database may be automatically populated with a value stored in an interaction database and that corresponds to the user and the user-fillable field.

    CLOUD BASED REPUTATION SYSTEM FOR BROWSER SETTINGS
    138.
    发明申请
    CLOUD BASED REPUTATION SYSTEM FOR BROWSER SETTINGS 审中-公开
    用于浏览器设置的基于云的报告系统

    公开(公告)号：US20160103929A1

    公开(公告)日：2016-04-14

    申请号：US14879892

    申请日：2015-10-09

    Applicant: Avast Software s.r.o.

    Inventor： Thomas Wespel ,  Thomas Salomon

    IPC: G06F17/30 ,  G06F17/22

    CPC classification number: G06F17/2247 ,  G06F9/44505 ,  G06F21/57

    Abstract: A method and apparatus for an automated classification and reset of browser settings is provided. A set of disreputable browser setting values is maintained based on statistics associated with the browser setting values. In response to determining that an attempt is made to set a browser setting to a value in the set of disreputable browser setting values, a notification can be presented to the user. The notification can include options in a set of reputable browser settings.

    Abstract translation: 提供了一种用于自动分类和重置浏览器设置的方法和装置。 基于与浏览器设置值相关联的统计信息来维护一组不正确的浏览器设置值。 为了响应于确定尝试将浏览器设置设置为一组不正确的浏览器设置值中的值，可以向用户呈现通知。 该通知可以包括一组信誉良好的浏览器设置中的选项。

    PARTIAL SNAPSHOTS IN VIRTUALIZED ENVIRONMENTS
    139.
    发明申请
    PARTIAL SNAPSHOTS IN VIRTUALIZED ENVIRONMENTS 有权
    虚拟环境中的部分攻击

    公开(公告)号：US20160019002A1

    公开(公告)日：2016-01-21

    申请号：US14868194

    申请日：2015-09-28

    Applicant: AVAST Software s.r.o.

    Inventor： Petr Kurtin ,  Lubos Hnanicek

    IPC: G06F3/06

    CPC classification number: G06F3/0619 ,  G06F3/065 ,  G06F3/0665 ,  G06F3/0689 ,  G06F17/30235

    Abstract: Systems and methods create partial snapshot for a volume. Files and folders are identified for inclusion in the partial snapshot. In response to writing updated data to the volume, a volume snapshot layer can determine of the updated data is associated with a file or folder in the partial snapshot. If the file or folder is included in the partial snapshot, original data at the volume location is read from the volume and written to the partial snapshot.

    Abstract translation: 系统和方法为卷创建部分快照。 识别文件和文件夹以包含在部分快照中。 响应于向卷中写入更新的数据，卷快照层可以确定更新的数据与部分快照中的文件或文件夹相关联。 如果文件或文件夹包含在部分快照中，则会从卷中读取卷位置上的原始数据并写入部分快照。

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