Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: Offline prior to operation, an optimised control sequence is derived for a pulse system comprising a reactive circuit for generating electromagnetic pulses, such as a transcranial magnetic stimulation circuit, and cascaded switching modules for switchably connecting capacitive discharge elements to provide a multi-level output voltage for the reactive circuit. A discrete-time model predicts an electrical state of the pulse system. A target profile for an electromagnetic pulse is received. For respective time-steps of the control sequence taken in succession, an optimal path of switching states over a window of time-steps starting with the respective time-step is derived, optimising a cost function having a deviation cost contribution representing deviation of an electrical state of the pulse system predicted by the discrete-time model from the target profile over the window. The switching state of the determined path at the respective time-step is selected for the control sequence.

Abstract: HyperText Markup Language (HTML) content analysis (HCA) using machine learning is described. A feature vector schema may be generated based on domain names corresponding to HTML webpages and corresponding indications of a status of the HTML webpage. The schema may map each position in a feature vector of a given HTML webpage to a resource identifier. Information may be processed using the schema to generate respective feature vectors. The feature vectors may be used to train a model to generate risk indicators for HTML webpages. A potentially parked domain webpage or a potentially malicious domain webpage may be received. A feature vector for the webpage may be generated and inputted to the model. The model may generate a risk indicator for the webpage. The risk indicator may be output and may cause responsive actions. The model may be updated based on a determination indicating whether the webpage was a parked domain webpage or a malicious domain webpage.

Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: A computer implemented method of communicating information within a model of a component in a computer-aided design (CAD) system to a second system, the method includes accessing a CAD model of the component with a processor based device of a CAD system, the component includes a plurality of features, assigning one or more object attributes in a first format to one or more features of the CAD model, and mapping the assigned object attributes to at least one characteristic based on a predefined schema to generate information that is usable by a downstream system in a second format that differs from the first format.

Abstract: Aspects of the disclosure relate to identity-based DNS-traffic routing and monitoring. A computing platform may establish, using an encrypted DNS process, a secure DNS session by executing an encrypted session handshake with a client device, which may include receiving a security certificate for the encrypted DNS process that identifies a user of the client device. The computing platform may receive an encrypted DNS query request comprising a request for an IP address for a specified domain name. The computing platform may determine, based on the security certificate, an identity of the user. The computing platform may determine, based on the identity of the user, a security policy indicating domain matching criteria and corresponding actions to take on matching domain names. The computing platform may determine a first action corresponding to the domain name, and may send, based on the first action, an encrypted DNS query response.

Abstract: Systems and methods are provided for sensing impacts applied to an article during a production and transportation process. The systems and methods can include a plurality of impact sensors fixed to the article and a processor coupled to the plurality of impact sensors. Each impact sensor can be fixed to the article at a corresponding sensor location and the plurality of impact sensors can be configured to generate a plurality of impact measurements in response to an impact applied to the article. The processor can be configured to: receive the plurality of impact measurements from the plurality of impact sensors; determine, from the plurality of impact measurements, that an impact condition is satisfied; determine an impact location based on the plurality of impact measurements and the corresponding sensor locations; and determine an overall impact magnitude based on the impact location and the plurality of impact measurements.

Abstract: A turbine section for a gas turbine engine includes a turbine having at least one blade rotatable around an axis. The at least one blade has a tip. The turbine section for a gas turbine engine also includes at least one blade outer air seal arranged radially outward from the tip. The blade outer air seal has a center web and first and second mounting arms extending from the center web. Each of the first and second mounting arms include at least one aperture configured to receive a pin to attach the blade outer air seal to an engine static structure. A gas turbine engine and a method of attaching a blade outer air seal to a static structure of a gas turbine engine are also disclosed.

Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: A gas turbine engine includes a compressor section, a combustor section and a turbine section for rotation on an axis. The turbine section includes at least one row of rotating turbine blades each having a radially outer tip. A blade outer air seal is positioned radially outwardly of the radially outer tip. The blade outer air seal has a central web positioned radially outwardly of the radially outer tip. The blade outer air seal has an upstream mount arm and a downstream mount arm receiving mount structure from a static structure. The static structure has sealing members engaging an upstream outer surface of the upstream mount arm at an upstream seal material and a downstream outer surface of the downstream mount arm at a downstream seal material. A method is also disclosed.

Abstract: Aspects of the disclosure relate to identity-based DNS-traffic routing and monitoring. A computing platform may establish, using an encrypted DNS process, a secure DNS session by executing an encrypted session handshake with a client device, which may include receiving a security certificate for the encrypted DNS process that identifies a user of the client device. The computing platform may receive an encrypted DNS query request comprising a request for an IP address for a specified domain name. The computing platform may determine, based on the security certificate, an identity of the user. The computing platform may determine, based on the identity of the user, a security policy indicating domain matching criteria and corresponding actions to take on matching domain names. The computing platform may determine a first action corresponding to the domain name, and may send, based on the first action, an encrypted DNS query response.

Abstract: Systems and methods are provided for sensing impacts applied to an article during a production and transportation process. The systems and methods can include a plurality of impact sensors fixed to the article and a processor coupled to the plurality of impact sensors. Each impact sensor can be fixed to the article at a corresponding sensor location and the plurality of impact sensors can be configured to generate a plurality of impact measurements in response to an impact applied to the article. The processor can be configured to: receive the plurality of impact measurements from the plurality of impact sensors; determine, from the plurality of impact measurements, that an impact condition is satisfied; determine an impact location based on the plurality of impact measurements and the corresponding sensor locations; and determine an overall impact magnitude based on the impact location and the plurality of impact measurements.

Abstract: A modular electronic device including a master core and a plurality of communication radio modules is provided. The modular electronic device maximizes communication performance by receiving a request for network operations from a mobile operating system of the modular electronic device; polling a table to determine a capacity of each communication radio module; and assigning the network operations to a module of the communication radio modules with a highest available capacity to maximize the communication performance of the modular electronic device.

Abstract: Apparatus, systems and methods for maintaining connection to a wireless service provider on a mobile device. A mobile computing device having stored data and a morph engine is connected to a wireless service provider selected from a plurality of wireless service providers accessible by the mobile device. Triggering data is received at the mobile computing device, whereby the morph engine thereof compares this triggering data against the stored data to determine an optimal wireless service provider that maintains a wireless signal connection on the mobile device. The optimal wireless service provider is identified from the plurality of other wireless service providers, and the wireless signal connection on the mobile device is switched from the first wireless service provider to the optimal wireless service provider to maintain the wireless signal connection.

Abstract: A modular electronic device including a master core and a plurality of communication radio modules is provided. The modular electronic device maximizes communication performance by receiving a request for network operations from a mobile operating system of the modular electronic device; polling a table to determine a capacity of each communication radio module; and assigning the network operations to a module of the communication radio modules with a highest available capacity to maximize the communication performance of the modular electronic device.

Abstract: A modular electronic device including a master core and a plurality of communication radio modules is provided. The modular electronic device maximizes communication performance by receiving a request for network operations from a mobile operating system of the modular electronic device; polling a table to determine a capacity of each communication radio module; and assigning the network operations to a module of the communication radio modules with a highest available capacity to maximize the communication performance of the modular electronic device.

Abstract: Embodiments relate to morphing a portable device. An aspect includes a method including executing an application among a set of applications of the portable device to obtain an input, and comparing, using a processor, the input to a plurality of triggers. The method also includes activating, using the processor, a profile of the portable device, based on the input matching one of the plurality of triggers, the profile corresponding with the one of the plurality of triggers and being one of a plurality of profiles, each of the plurality of profiles defining enabled applications, security settings for information access by the portable device, and redundancy settings of the portable device including frequency of document backup.

Abstract: Embodiments relate to morphing a portable device. An aspect includes a computer program product for morphing. The computer program product includes a storage medium readable by a processing circuit of the portable device and storing instructions for execution by the processing circuit for performing a method. The method includes obtaining an input based on a result of executing an application among a set of applications of the portable device, and comparing the input to a plurality of triggers. The method also includes activating a profile of the portable device, based on the input matching one of the plurality of triggers, the profile corresponding with the one of the plurality of triggers, the profile being one of a plurality of profiles, each of the plurality of profiles defining enabled applications, security settings for information access by the portable device, and redundancy settings of the portable device including frequency of document backup.