Abstract: A first user device associated with a first dependent user may receive a request to add a second dependent user associated with a second user device to a contacts list of the first user device, and may provide a first device identifier, identifying the first user device, to the second user device via a short-range communication. The first user device may receive, from the second user device, a second device identifier, identifying the second user device, via a short-range communication, and may provide the second device identifier to an approval system. The first user device may receive, from the approval system, an indication of approval to add the second dependent user to the contacts list, and may add the second dependent user to the contacts list based on the indication. The first user device may communicate with the second user device, via a telecommunications network, based on the contacts list.

Abstract: Exemplary systems and methods are disclosed for detecting embedded data in a digital image. The system includes a processing device that extracts one or more features from a digital image and analyzes the one or more extracted features in a plurality of steganography analyzers, each steganography analyzer configured to execute a different steganography algorithm. The processing device generates an output data value at each steganography analyzer, the output data value indicating a probability that the digital image includes steganography according to the steganography algorithm of the steganography analyzer.

Abstract: A method is disclosed for enhanced enumeration of network exploits, the method including scanning a network to identify and enumerate vulnerability exploit data from network scan results; accessing a vulnerability database to compare the vulnerability exploit data with stored vulnerability data and, and in response to identifying a match between the vulnerability exploit data and the stored vulnerability data, creating enhanced vulnerability exploit data; organizing the enhanced vulnerability exploit data in a hierarchal tree, table, or other format for display on a computer graphical user interface (GUI) or as input to a computerized system for processing; and updating the vulnerability database with the enhanced vulnerability exploit data.

Abstract: Exemplary systems and methods are disclosed for removing steganography from digital data is disclosed. The method and system involve receiving a digital data. At least one processing device accesses a steganography purifier model. The at least one processing device includes at least a generator configured to scale a magnitude of individual data elements of the digital data from a first value range to a second value range. The scaled data elements are downsampled to remove steganography data embedded in the digital data and produce a purified version. The purified version is upsampled by interpolating new data elements between one or more adjacent data elements to provide an upsampled purified version. The magnitude of the data elements of the upsampled purified version are scaled from the second value range to the first value range to generate a purified output version.

Abstract: Exemplary systems and methods are disclosed for detecting embedded data in a digital image. The system includes a processing device that extracts one or more features from a digital image and analyzes the one or more extracted features in a plurality of steganography analyzers, each steganography analyzer configured to execute a different steganography algorithm. The processing device generates an output data value at each steganography analyzer, the output data value indicating a probability that the digital image includes steganography according to the steganography algorithm of the steganography analyzer.

Abstract: A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (“UEs”), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.

Abstract: A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (“UEs”), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.

Abstract: In one aspect, the disclosure provides methods, compositions, vectors and kits for determining DNA repair capacity in cells or a subject.

Abstract: A shield for protecting furniture against damage that a pet can cause, includes a body and a lock. The body is expandable from a collapsed configuration to an expanded configuration by moving in a first direction a first end relative to a second end. When the body is in the expanded configuration and positioned adjacent furniture, the body can cover a region of the furniture. The lock includes a first portion and a second portion, and is operable to maintain the body in the expanded configuration when the first and second portions engage each other. With the shield's body in the collapsed configuration, one can easily transport the shield to any location. With the shield's body in the expanded configuration, one can cover a region of furniture with the body and thus discourage a pet from sitting or lying on top of the shield. With the body in the expanded configuration, the shield may also be used as a barrier to protect a leg or other vertical portion of a piece of furniture.

Abstract: In one aspect, the disclosure provides methods, compositions, vectors and kits for determining DNA repair capacity in cells or a subject.

Abstract: A shield for protecting furniture against damage that a pet can cause, includes a body and a lock. The body is expandable from a collapsed configuration to an expanded configuration by moving in a first direction a first end relative to a second end. When the body is in the expanded configuration and positioned adjacent furniture, the body can cover a region of the furniture. The lock includes a first portion and a second portion, and is operable to maintain the body in the expanded configuration when the first and second portions engage each other. With the shield's body in the collapsed configuration, one can easily transport the shield to any location. With the shield's body in the expanded configuration, one can cover a region of furniture with the body and thus discourage a pet from sitting or lying on top of the shield. With the body in the expanded configuration, the shield may also be used as a barrier to protect a leg or other vertical portion of a piece of furniture.

Abstract: In one aspect, the disclosure provides methods, compositions, vectors and kits for determining DNA repair capacity in cells or a subject.