Abstract: Aspects of the subject disclosure may include, for example, receiving information about known malicious activity, the information about known malicious activity corresponding to a known cyber threat to operation of a network or data processing system, using a clustering process to label flow data for identifying the information about known malicious activity, receiving production flow data corresponding to current network traffic arriving at the network or the data processing system, determining clusters and cluster identifiers for the production flow data, identifying a relationship between a cluster label for the information about known malicious activity and a cluster identifier for the production flow data, and based on the relationship between the cluster label for the information about known malicious activity and the cluster identifier, identifying a potential cyber threat to the network or the data processing system. Other embodiments are disclosed.

Abstract: Systems and method are provided for controlling a smart home device. In one embodiment, a method, performed by a server, for controlling the smart home device including detecting a smart home device in response to an internet protocol address of a data packet transmitted on a network, determining a function of the smart home device, receiving an event alert from an external data source, associating the function of the smart home device with the event alert, and transmitting a control signal to initiate the function of the smart home device in response to the association of the function with the event alert.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.

Abstract: Predicting and using threat levels for cyber threats using data from public data sources can include obtaining cyber vulnerability and threat data (“threat data”) from publicly available data sources including a social networking service, the threat data including social networking messages. A threat that is predicted to exploit a vulnerability can be determined based on the threat data. Filtered threat data that includes social networking messages that mention the threat can be stored. A threat assessment service can analyze the filtered threat data to determine a mention trend for the threat, a severity score for the threat, an exploitation history for the threat, and a patch availability for rectifying the threat. Based on the mention trend, the severity score, the exploitation history, and the patch availability, a predicted threat level for the threat can be used to generate an alert, which can be sent to a subscriber device.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.

Abstract: Predicting and using threat levels for cyber threats using data from public data sources can include obtaining cyber vulnerability and threat data (“threat data”) from publicly available data sources including a social networking service, the threat data including social networking messages. A threat that is predicted to exploit a vulnerability can be determined based on the threat data. Filtered threat data that includes social networking messages that mention the threat can be stored. A threat assessment service can analyze the filtered threat data to determine a mention trend for the threat, a severity score for the threat, an exploitation history for the threat, and a patch availability for rectifying the threat. Based on the mention trend, the severity score, the exploitation history, and the patch availability, a predicted threat level for the threat can be used to generate an alert, which can be sent to a subscriber device.

Abstract: A gateway device is disclosed that includes a user key; a transceiver to communicate data over a network and with a set top box; and a processor configured for: receiving a protected secure key from a content provider; receiving an encrypted control word key from the content provider. The encrypted control word key is encrypted with a secure key and, once the encrypted control word key is decrypted, the decrypted control word key decrypts an encrypted digital content that is sent to a set top box; retrieving the user key from the memory of the gateway device; using the user key to decrypt the protected secure key to obtain a decrypted secure key; using the decrypted secure key to decrypt the encrypted control word key to obtain the decrypted control word key; and transmitting the decrypted control word key to the set top box for decrypting the encrypted digital content.

Abstract: Systems, devices and processes are described herein to improve the reliable delivery of content in a satellite system by facilitating the prediction of likely future signal interference. Specifically, the various embodiments provide a technique whereby a likelihood of future plant growth interfering with received signal strength at a satellite dish is determined. In one embodiment, the technique analyses one or more images of a plant in the vicinity of the satellite dish and from that image generates prediction of future growth of the plant over a future time period. From this prediction of future plant growth, a likelihood of future signal interference being caused by the plant can be determined.

Abstract: Systems, devices and processes are described herein to improve the reliable delivery of content in a satellite system by facilitating the prediction of likely future signal interference. Specifically, the various embodiments provide a technique whereby a likelihood of future plant growth interfering with received signal strength at a satellite dish is determined. In one embodiment, the technique analyses one or more images of a plant in the vicinity of the satellite dish and from that image generates prediction of future growth of the plant over a future time period. From this prediction of future plant growth, a likelihood of future signal interference being caused by the plant can be determined.

Abstract: Systems and method are provided for controlling a smart home device. In one embodiment, a method, performed by a server, for controlling the smart home device including detecting a smart home device in response to an internet protocol address of a data packet transmitted on a network, determining a function of the smart home device, receiving an event alert from an external data source, associating the function of the smart home device with the event alert, and transmitting a control signal to initiate the function of the smart home device in response to the association of the function with the event alert.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data that identifies network traffic associated with a threat actor, responsive to the obtaining the data, performing feature extraction on the data, resulting in extracted features, classifying the network traffic based on the extracted features, detecting, in accordance with the classifying the network traffic, an action change in the network traffic, resulting in a detected action change, predicting a future traffic profile for the threat actor based on the detected action change, and responsive to the predicting the future traffic profile, generating an alert regarding the future traffic profile, thereby enabling mitigation of a security risk associated with the threat actor. Other embodiments are disclosed.

Abstract: A process for manufacturing a label that includes moving a web of a substrate along a first direction, placing a label upon a portion of the web, pressing the label onto the portion of the web so as to attach the label to the portion of the web and diminishing skewing of the portion of the web during the pressing.