Abstract: A press apparatus includes a pressure vessel arranged to hold pressure medium therein during use of the press apparatus. The pressure vessel includes a top end closure and a bottom end closure. A furnace chamber is arranged within the pressure vessel so that pressure medium can enter and exit the furnace chamber, the furnace chamber at least in part defining a treatment space arranged to accommodate at least one article. The press apparatus includes at least one outer convection loop pressure medium guiding passage in fluid communication with the furnace chamber and arranged to form an outer convection loop within the pressure vessel. The outer convection loop is arranged to guide the pressure medium after having exited the furnace chamber in proximity to an inner surface of one or more wall(s) of the pressure vessel to a space between the furnace chamber and the bottom end closure.

Abstract: Systems and methods are provided for detecting potentially fraudulent online behavior, and for assessing advanced user patterns by the detection of the use of multiple windows or tabs. The method includes collecting behavioral data of a user across windows and/or tabs of a browser of a user device running on or accessing a website, determining the use of multiple browser tabs and/or windows running on the website by associating a foreground process of the browser to a background process of the browser, comparing the collected behavioral data and the determined use of the multiple browser tabs and/or windows running on the website to normal use patterns and fraudulent use patterns, and authorizing the online session based on the comparing indicating a match with normal use patterns or denying the online session based on the comparing indicating a match with one or more fraudulent use patterns.

Abstract: Systems and methods are provided for automatically generating unique identifiers for text fields and determining the type of information of a specific text field in an online user journey. The method identifies a data type identifier for each text field by training on historical sessions from many user interactions to group text fields, even with randomly generated IDs, and based on the metadata associated with the text fields. The method can predict the data type for new data and can enable the automatic selection and application of a correct keystroke dynamics algorithm for authentication and fraud detection.

Abstract: Systems and methods are provided for automatically generating unique identifiers for text fields and determining the type of information of a specific text field in an online user journey. The method identifies a data type identifier for each text field by training on historical sessions from many user interactions to group text fields, even with randomly generated IDs, and based on the metadata associated with the text fields. The method can predict the data type for new data and can enable the automatic selection and application of a correct keystroke dynamics algorithm for authentication and fraud detection.

Abstract: A method for determining whether a secure transaction between a user computing device and a server, connected via a network, is controlled remotely via a remote access tool. The method includes, during the secure transaction, actively perturbing and/or probing the network to change the conditions in the network. During perturbing of the network, data relating to user interactions with a user interface associated with the user computing device is collected and compared to reference data relating to user interactions carried out prior to the secure transaction or prior to perturbing of the network. Based on the comparison, a probability that the secure transaction is carried out via a remote access tool is computed and is compared to a predefined threshold. If the threshold is exceeded, the secure transaction is terminated.

Abstract: The systems and methods are provided that can enable the detection of certain modes of online interactions carried out by a user's computing device, for example, when an online app or webpage of an enterprise is accessed by the user's computing device. Certain exemplary implementations may utilize collector code that resides in the app or webpage opened by users accessing the enterprise service to measure and collect timing data to detect whether the user's computing device or associated browsing session is subjected to modes of manipulation such as the user browser's privacy mode being engaged, malware interacting with the browsing session, and/or some type of aggregator interacting with the browsing session. Such modes of manipulation can impact the utility and accuracy of certain forms of behavioral biometric algorithms, particularly those that utilize users' typing, timing, keystroke dwell, etc.

Abstract: System and methods are provided for mitigating click farm fraud by receiving network data and sensor data from a plurality of computing devices, extracting one or more features from the sensor data and the network data for each of the devices. The features represent one or more of a local physical environment and communication channel environment associated with a device of the plurality of computing devices. The method includes determining one or more subsets of the plurality of computing devices based on environmental and network characteristics of the one or more features, identifying, based on the one or more subsets and detected influencer activities, co-located computing devices, and responsive to determining that a count of the co-located computing devices is greater than a predetermined count, sending a session terminating command to one or more servers in communication with the co-located computing devices to mitigate click farm fraudulent activities.

Abstract: A method in a press apparatus is disclosed. The press apparatus comprises a pressure vessel and a guiding passage for guiding pressure medium out of the pressure vessel to reduce pressure in the pressure vessel.

Abstract: A system comprising a plurality of pressure intensifier units configured to increase the pressure in a pressure vessel, each pressure intensifier unit comprising an inlet and an outlet configured to be connected to the pressure vessel, at least one first chamber in fluid communication with the inlet and the outlet, respectively, a body controllably movable within a second chamber along a path back and forth between a first end position and a second end position, and an actuating mechanism configured to controllably move the body back and forth between the first end position and the second end position at an adjustable speed. A control and/or processing unit is configured to control the actuating mechanisms of the pressure intensifier units such that each of the bodies has a selected position in the corresponding second chamber in relation to the position(s) of the other body or bodies in its or their corresponding second chamber(s), and, subsequently, carry out a pressure increasing phase.

Abstract: Systems and methods are provided for behavioral biometrics retraining on credential input provided by a user for authentication. A method includes receiving a successful login indication that a user has been authenticated for access on the enterprise server based on the credential input. The method includes receiving metadata and user behaviometric data corresponding to the credential input. The method includes computing, with a behavioral scoring module, a metadata similarity score by comparing the received metadata to metadata previously stored in a user profile, resetting at least a portion of previously stored user profile data based on receiving the successful login indication and the metadata similarity score being less than a threshold value, and training user profile data using the received user behaviometric data based on receiving the successful login indication and the metadata similarity score being less than a threshold value.

Abstract: Systems and methods are provided for behavioral biometrics retraining on credential input provided by a user for authentication. A method includes receiving a successful login indication that a user has been authenticated for access on the enterprise server based on the credential input. The method includes receiving metadata and user behaviometric data corresponding to the credential input. The method includes computing, with a behavioral scoring module, a metadata similarity score by comparing the received metadata to metadata previously stored in a user profile, resetting at least a portion of previously stored user profile data based on receiving the successful login indication and the metadata similarity score being less than a threshold value, and training user profile data using the received user behaviometric data based on receiving the successful login indication and the metadata similarity score being less than a threshold value.

Abstract: A method for determining whether a secure transaction between a user computing device and a server, connected via a network, is controlled remotely via a remote access tool. The method includes, during the secure transaction, actively perturbing and/or probing the network to change the conditions in the network. During perturbing of the network, data relating to user interactions with a user interface associated with the user computing device is collected and compared to reference data relating to user interactions carried out prior to the secure transaction or prior to perturbing of the network. Based on the comparison, a probability that the secure transaction is carried out via a remote access tool is computed and is compared to a predefined threshold. If the threshold is exceeded, the secure transaction is terminated.

Abstract: Systems and methods are provided for improving behavioral biometrics scoring accuracy. A method includes receiving streamed behavioral biometrics data and associated contextual data, determining a first trust score by evaluating the streamed behavioral biometric data, and if the first trust score is below a first predetermined value, separating the streamed behavioral biometrics data into contextualized bins corresponding to the contextual data to produce binned data. The contextualized bins can include a target identifier such as a data field; or a data type field, an area of a browser window, a task, and/or a physical activity. Responsive to a first threshold amount of accrued binned data, the method can include evaluating the binned data to determine a second trust score that is context-aware and sending an alert to the enterprise server responsive to the second trust score being below a second predetermined value.

Abstract: The systems and methods are provided that can enable the detection of certain modes of online interactions carried out by a user's computing device, for example, when an online app or webpage of an enterprise is accessed by the user's computing device. Certain exemplary implementations may utilize collector code that resides in the app or webpage opened by users accessing the enterprise service to measure and collect timing data to detect whether the user's computing device or associated browsing session is subjected to modes of manipulation such as the user browser's privacy mode being engaged, malware interacting with the browsing session, and/or some type of aggregator interacting with the browsing session. Such modes of manipulation can impact the utility and accuracy of certain forms of behavioral biometric algorithms, particularly those that utilize users' typing, timing, keystroke dwell, etc.

Abstract: System and methods are provided for mitigating click farm fraud by receiving network data and sensor data from a plurality of computing devices, extracting one or more features from the sensor data and the network data for each of the devices. The features represent one or more of a local physical environment and communication channel environment associated with a device of the plurality of computing devices. The method includes determining one or more subsets of the plurality of computing devices based on environmental and network characteristics of the one or more features, identifying, based on the one or more subsets and detected influencer activities, co-located computing devices, and responsive to determining that a count of the co-located computing devices is greater than a predetermined count, sending a session terminating command to one or more servers in communication with the co-located computing devices to mitigate click farm fraudulent activities.

Abstract: Systems and methods are provided for improving behavioral biometrics scoring accuracy. A method includes receiving streamed behavioral biometrics data and associated contextual data, determining a first trust score by evaluating the streamed behavioral biometric data, and if the first trust score is below a first predetermined value, separating the streamed behavioral biometrics data into contextualized bins corresponding to the contextual data to produce binned data. The contextualized bins can include a target identifier such as a data field; or a data type field, an area of a browser window, a task, and/or a physical activity. Responsive to a first threshold amount of accrued binned data, the method can include evaluating the binned data to determine a second trust score that is context-aware and sending an alert to the enterprise server responsive to the second trust score being below a second predetermined value.

Abstract: System and methods are provided for mitigating click farm fraud by receiving network data and sensor data from a plurality of computing devices, extracting one or more features from the sensor data and the network data for each of the devices. The features represent one or more of a local physical environment and communication channel environment associated with a device of the plurality of computing devices. The method includes determining one or more subsets of the plurality of computing devices based on environmental and network characteristics of the one or more features, identifying, based on the one or more subsets and detected influencer activities, co-located computing devices, and responsive to determining that a count of the co-located computing devices is greater than a predetermined count, sending a session terminating command to one or more servers in communication with the co-located computing devices to mitigate click farm fraudulent activities.

Abstract: System and methods are provided for client-side web page tampering assessment and fraud prevention by detection of one or more events that are uncharacteristic of user-specific behavior. A method is provided for monitoring a web page Document associated with a Document Object Model (DOM) of a browsing session of a user, capturing one or more event-based mutations of the web page Document, and retrieving, from a profile repository, user behaviometric history data. Responsive to comparing the one or more event-based mutations to the user behaviometric history data, the method can include denying continuation of the browsing session based on a predetermined similarity mismatch of the one or more event-based mutations to entries in the user behaviometric history data and output one or more indications of potential fraud.

Abstract: Systems and methods are provided for detecting when a user uses one or both hands to interact with a device having a physical or virtual keyboard. In one implementation, one-handed typing is determined by analyzing intragroup and intergroup keyflight timing distributions between different groups of clustered keys, each cluster having distinctly different proximal properties. A statistical measure made between the intragroup and intergroup keyflight timing distributions may be performed to determine one-handed or two-handed typing input, which may be used to enhance a user experience by adapting a viewing or input element to an appropriate hand setting. In another implementation, the detection may be used as input to determine a likelihood of suspected coaching fraud for online banking applications. In yet another implementation, the detection of one-handed typing is used as an input to bot detection algorithms to reduce false positives from other modalities.

Abstract: Systems and methods are provided for detecting potentially fraudulent online behavior, and for assessing advanced user patterns by the detection of the use of multiple windows or tabs. The method includes collecting behavioral data of a user across windows and/or tabs of a browser of a user device running on or accessing a website, determining the use of multiple browser tabs and/or windows running on the website by associating a foreground process of the browser to a background process of the browser, comparing the collected behavioral data and the determined use of the multiple browser tabs and/or windows running on the website to normal use patterns and fraudulent use patterns, and authorizing the online session based on the comparing indicating a match with normal use patterns or denying the online session based on the comparing indicating a match with one or more fraudulent use patterns.