Abstract: Provided are system and method for establishing a topology for advertising supplicants a network. According to embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: create a first authentication list for a first network entity, wherein the first authentication list specify one or more network entities that are authenticated with the first network entity; and advertise the first authentication list to a second agent deployed in a second network entity, wherein the second network entity is authenticated with the first network entity.

Abstract: Provided are features for determining authentication status information of an Open Radio Access Network (O-RAN) Radio Unit (O-RU). According to embodiments, an O-RU controller may be configured to: obtain a Media Access Control (MAC) address of an O-RU; determine, based on the MAC address of the O-RU, an authentication status of the O-RU; based on determining that the O-RU has been authenticated, establish a channel binding with the O-RU; and based on determining that the O-RU has not been authenticated, isolate the O-RU from further communications with the O-RU controller.

Abstract: Systems and methods are disclosed herein that can detect at least one activity by parsing text from an operation of a consumer electronics device and determine that the at least one activity matches a risk scenario.

Abstract: Provided are system, method, and device for enabling network entities to view authenticated supplicants in a network. According to embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: create a first authentication list for a first network entity; receive a second authentication list from a second network entity; and create a trust list for the first network entity based on the first authentication list and the second authentication list, wherein the trust list for the first network entity specifies a trust level between the first network entity and one or more network entities in the first and second authentication lists.

Abstract: Systems and methods are disclosed herein that can detect at least one activity by parsing text from an operation of a consumer electronics device and determine that the at least one activity matches a risk scenario.

Abstract: Systems and methods are disclosed herein that can detect use of a consumer electronics device and that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

Abstract: Systems and methods are disclosed herein that can detect use of a consumer electronics device and that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

Abstract: Mechanisms, which can include systems, method, and media, for protecting network devices from malicious rich text format (RTF) files are provided, the mechanisms comprising: intercepting an RTF file destined for a network device; parsing the RTF file to identify a plurality of objects in the RTF file; checking a first object of the plurality of objects for a first heuristic; based upon an outcome of the checking of the first object for the first heuristic, increasing a cumulative weight by a first weight value; comparing the cumulative weight against at least one threshold to classify the RTF file; and based on the classification of the RTF file, taking a protective action on the RTF file.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect an attack in an input file. An example apparatus includes a detection controller to identify a section of a number of bytes of data in a buffer including a first or second byte of data indicative of a value within a preconfigured range, the preconfigured range corresponding to a range of values indicative of memory addresses, update a merged list with a chunk of data that includes the section having the first or second byte of data indicative of the value within the preconfigured range, and a reoccurrence detector to concatenate the chunk of data in the merged list into a string to identify a number of occurrences the string matches remaining data in the buffer, and in response to a detection of the number of occurrences exceeding an occurrence threshold, determine that the data includes a malicious data stream.

Abstract: Mechanisms, which can include systems, method, and media, for protecting network devices from malicious rich text format (RTF) files are provided, the mechanisms comprising: intercepting an RTF file destined for a network device; parsing the RTF file to identify a plurality of objects in the RTF file; checking a first object of the plurality of objects for a first heuristic; based upon an outcome of the checking of the first object for the first heuristic, increasing a cumulative weight by a first weight value; comparing the cumulative weight against at least one threshold to classify the RTF file; and based on the classification of the RTF file, taking a protective action on the RTF file.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect an attack in an input file. An example apparatus includes a detection controller to identify a section of a number of bytes of data in a buffer including a first or second byte of data indicative of a value within a preconfigured range, the preconfigured range corresponding to a range of values indicative of memory addresses, update a merged list with a chunk of data that includes the section having the first or second byte of data indicative of the value within the preconfigured range, and a reoccurrence detector to concatenate the chunk of data in the merged list into a string to identify a number of occurrences the string matches remaining data in the buffer, and in response to a detection of the number of occurrences exceeding an occurrence threshold, determine that the data includes a malicious data stream.

Abstract: An “Adaptive Exposure Corrector” performs automated real-time exposure correction of individual images or image sequences of arbitrary length. “Exposure correction” is defined herein as automated adjustments or corrections to any combination of shadows, highlights, high-frequency features, and color saturation of images. The Adaptive Exposure Corrector outputs perceptually improved images based on image ISO and camera ISO capabilities in combination with camera noise characteristics via exposure corrections by a variety of noise-aware image processing functions. An initial calibration process adapts these noise aware image processing functions to noise characteristics of particular camera models and types in combination with particular camera ISO settings. More specifically, this calibration process precomputes a Noise Aware Scaling Function (NASF) and a Color Scalar Function (CSF).

Abstract: An “Adaptive Exposure Corrector” performs automated real-time exposure correction of individual images or image sequences of arbitrary length. “Exposure correction” is defined herein as automated adjustments or corrections to any combination of shadows, highlights, high-frequency features, and color saturation of images. The Adaptive Exposure Corrector outputs perceptually improved images based on image ISO and camera ISO capabilities in combination with camera noise characteristics via exposure corrections by a variety of noise-aware image processing functions. An initial calibration process adapts these noise aware image processing functions to noise characteristics of particular camera models and types in combination with particular camera ISO settings. More specifically, this calibration process precomputes a Noise Aware Scaling Function (NASF) and a Color Scalar Function (CSF).

Abstract: Systems and methods for event alerting using a communications system are disclosed. An example comprises receiving a first message over a communications network from a first communications device, the message relating to an emergency event, and determining the geographic location of the first communications device. Transmission of an alert message is caused to one or more second communications devices within a first area based on the determined location, the alert message providing an indication of the emergency event and prompting feedback by means of the second communications devices relating to the emergency event. One or more feedback messages may be received relating to the emergency event from one or more of the second communications devices.

Abstract: A shaft seal assembly comprises a stator configured to engage a housing and a rotor positioned within the stator. The stator may include a main body, a stator inward radial projection extending radially inward from the stator main body, and a collection groove adjacent the stator inward radial projection. The rotor may include a rotor main body and a rotor axial projection extending from the rotor main body. The rotor axial projection may be positioned adjacent a distal end of the stator inward radial projection.

Abstract: A shaft seal assembly comprises a stator configured to engage a housing and a rotor positioned within the stator. The stator may include a main body, a stator inward radial projection extending radially inward from the stator main body, and a collection groove adjacent the stator inward radial projection. The rotor may include a rotor main body and a rotor axial projection extending from the rotor main body. The rotor axial projection may be positioned adjacent a distal end of the stator inward radial projection.

Abstract: Systems and methods are disclosed herein that can detect use of a consumer electronics device and that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

Abstract: Named entity recognition can be performed on an image to classify any text in an image. A boundary that encompasses the classified entity may be predicted. Subsequently, upon request, optical character recognition (OCR) can be performed on just the region inside the boundary. The disclosed implementations conserve computer resources such as processing power and battery compared to performing OCR on the entire image.

Abstract: Systems and methods are disclosed herein that can detect use of a consumer electronics device and that can generate and offer insurance or protection plans that measure, account, and adjust for the use of the consumer electronics device and consumer tendencies while using the consumer electronics device.

Abstract: A shaft seal assembly comprises a stator configured to engage a housing and a rotor positioned within the stator. The stator may include a main body, a stator inward radial projection extending radially inward from the stator main body, and a collection groove adjacent the stator inward radial projection. The rotor may include a rotor main body and a rotor axial projection extending from the rotor main body. The rotor axial projection may be positioned adjacent a distal end of the stator inward radial projection.