Abstract: A system and method for supporting self-expiring data content. In accordance with an embodiment, a data record can be associated with a future expiration date and/or time, which can be specified as either an absolute date or time, or a relative date or time. When the expiration date and/or time is reached, the data record and its associated data are automatically deleted from the system. Depending on the particular implementation, the deletion can be automatic or provide some form of confirmation or acknowledgement. In accordance with an embodiment, a user inputting the data can control the record's expiration date, such that data is only retained in the system for as long as the user reasonably expects the data to be useful to them.

Abstract: A system and method for supporting self-expiring data content. In accordance with an embodiment, a data record can be associated with a future expiration date and/or time, which can be specified as either an absolute date or time, or a relative date or time. When the expiration date and/or time is reached, the data record and its associated data are automatically deleted from the system. Depending on the particular implementation, the deletion can be automatic or provide some form of confirmation or acknowledgement. In accordance with an embodiment, a user inputting the data can control the record's expiration date, such that data is only retained in the system for as long as the user reasonably expects the data to be useful to them. For example, in a mobile phone contacts implementation, a user can attach an expiration date to a particular contacts data record, and that record will only remain in their mobile phone for that desired period of time.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator’s driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A method, computer program product and system for generating false data for suspicious users. A suspicious user is identified. Actions of the user are then tracked. The user attempting to access sensitive information is detected. Relevant false sensitive information corresponding to the sensitive information is then detected. The relevant false sensitive information is then mapped to the sensitive information. The relevant false sensitive information is provided to the suspicious user. In response to user input, at least one command is executed, where the at least one command includes the relevant false sensitive information and not the sensitive information.

Abstract: A system and method for use of carbon emissions in characterizing driver performance and using such characterization to determine a profile/score associated with a particular insured. The profile/score can then be used to determine an insurance premium for the insured. In accordance with an embodiment, a driver can use a portable device equipped with a data collection and assessment environment, including one or more data collection devices that can be used to capture data and information or otherwise measure the carbon emissions associated with a vehicle. A framework (system) can receive information about the driver's driving profile, and use this information either to determine an insurance quote, or act as a broker/aggregator in inviting other insurance providers to offer an insurance quote, or usage based insurance quote (UBI).

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: A method, computer program product and system for preventing unauthorized access of confidential information. The transmission of data from a first user to a second user is detected. An authorization level corresponding to the second user is then determined. Furthermore, a probability that the authorization level corresponding to the second user and the data is accurate is generated. Additionally, a determination is made that the data includes sensitive information that the second user is not authorized to access based on the authorization level. Moreover, the data can be modified based on the probability, where the data is to be redacted if the probability is within a range of a threshold value or the data is to be blocked from transmission if the probability is above the range.

Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: Client side code of a web application can be received by a mobile device. The mobile device can automatically inject mobile aware code into the client side code of the web application. The mobile aware code can modify the client side code of the web application for use by the mobile device, wherein the client side code of the web application is not modified for use by the mobile device prior to the mobile aware code being injected. The client side code of the web application modified by the mobile aware code can be executed by the mobile device.

Abstract: A system and method for improved routing that combines real-time and likelihood information. In accordance with an embodiment, the system comprises a digital map/map information; a likelihood routing information; a route processor; wherein, when a request is received from a user/driver, or from another system, to receive a routing information, the system receives real-time information from a traffic-monitoring device or service providing real-time information; wherein the route processor adjusts the received real-time information based on the system's likelihood routing information; and wherein the routing information based on the combination of real-time and likelihood information can then be provided to the user/driver or other system in response to the original request.

Abstract: A computer-implemented method is provided. The method may include determining a behavioral pattern of a user based on historical data access events and historical data access conditions corresponding to the historical data access events, wherein the data access events are associated with a computer enterprise system. A data access request from the user with respect to a secure resource may be received from a computing node connected to the computer enterprise system. A behavioral state of the user may be determined with respect to the data access request and data access conditions corresponding to the data access request. A discrepancy between the behavioral pattern and the behavioral state of the user may be detected. A security risk level may be determined based on the discrepancy. In response to determining that the security risk level exceeds a predetermined threshold, a security action may be performed with respect to the secure resource.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: A method, computer program product and system for generating false data for suspicious users. A suspicious user is identified. Actions of the user are then tracked. The user attempting to access sensitive information is detected. Relevant false sensitive information corresponding to the sensitive information is then detected. The relevant false sensitive information is then mapped to the sensitive information. The relevant false sensitive information is provided to the suspicious user. In response to user input, at least one command is executed, where the at least one command includes the relevant false sensitive information and not the sensitive information.

Abstract: A method, computer program product and system for generating false data for suspicious users. A suspicious user is identified. Actions of the user are then tracked. The user attempting to access sensitive information is detected. Relevant false sensitive information corresponding to the sensitive information is then detected. The relevant false sensitive information is then mapped to the sensitive information. The relevant false sensitive information is provided to the suspicious user. In response to user input, at least one command is executed, where the at least one command includes the relevant false sensitive information and not the sensitive information.

Abstract: Techniques for evaluating software systems are provided, including measurement of performance ratings of features of an app-under-test are described. The evaluation may include analysis of a video recording of the user interface of the app-under-test, where the video analysis may include comparing the changes over time of co-located pixel in the video to produce a performance rating, for example a speed index. The results of multiple such tests can be compared by comparing the performance rating produced during execution of different tests.

Abstract: Receiving contextual data including a facial movement associated with an active document. A response associated with the active document is detected and associated with the received contextual data. A contextual metadata tag is generated based on the detected response to the active document. A contextual keyword is created that corresponds to the contextual metadata tag. Search results received in response to the query are filtered based on the contextual metadata tag.