Abstract: Novel solutions for detecting and/or treating malware on a subscriber's premise network. Such solutions can include, but are not limited to, tools and techniques that can detect, and/or enable the detection of, malware infections on individual subscriber devices within the subscriber's network. In a particular embodiment, for example, a premise gateway, or other device on the subscriber's premise network, is configured to analyze packets traveling through the premise gateway and, based on that analysis, identify one or more subscriber devices that are infected with malware.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Novel solutions for detecting and/or treating malware on a subscriber's premise network. Such solutions can include, but are not limited to, tools and techniques that can detect, and/or enable the detection of, malware infections on individual subscriber devices within the subscriber's network. In a particular embodiment, for example, a premise gateway, or other device on the subscriber's premise network, is configured to analyze packets traveling through the premise gateway and, based on that analysis, identify one or more subscriber devices that are infected with malware.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Novel solutions for detecting and/or treating malware on a subscriber's premise network. Such solutions can include, but are not limited to, tools and techniques that can detect, and/or enable the detection of, malware infections on individual subscriber devices within the subscriber's network. In a particular embodiment, for example, a premise gateway, or other device on the subscriber's premise network, is configured to analyze packets traveling through the premise gateway and, based on that analysis, identify one or more subscriber devices that are infected with malware.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Novel solutions for detecting and/or treating malware on a subscriber's premise network. Such solutions can include, but are not limited to, tools and techniques that can detect, and/or enable the detection of, malware infections on individual subscriber devices within the subscriber's network. In a particular embodiment, for example, a premise gateway, or other device on the subscriber's premise network, is configured to analyze packets traveling through the premise gateway and, based on that analysis, identify one or more subscriber devices that are infected with malware.

Abstract: Novel solutions for detecting and/or treating malware on a subscriber's premise network. Such solutions can include, but are not limited to, tools and techniques that can detect, and/or enable the detection of, malware infections on individual subscriber devices within the subscriber's network. In a particular embodiment, for example, a premise gateway, or other device on the subscriber's premise network, is configured to analyze packets traveling through the premise gateway and, based on that analysis, identify one or more subscriber devices that are infected with malware.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods, systems, devices, and software are disclosed for generating a network usage profile. Certain embodiments of the network usage profile include a devices-by-node profile, indicating the set of customer devices available for use in communicating with a customer-side network node located at a customer side of an access network over a period of time, where some of the customer devices are not in operative communication with the customer-side network node during a portion of that time. Other embodiments associate the network usage profile with customer information to generate device-by-customer profiles. Still other embodiments associate the network usage profile with network traffic information to generate traffic-by-device profiles. Even other embodiments associate the multiple sources and types of information to generate traffic-by-customer profiles and/or traffic-by-device-by-customer profiles.

Abstract: Methods and systems are disclosed for providing parties with levels of transparency into filtering functionality of network traffic inspection implementations. Embodiments include receiving a filter change request from a subscriber over a network that defines a modification to a set of filter criteria for filtering network traffic, the filter criteria being stored in association with the subscriber in a filter criteria data store; updating the set of filter criteria in the filter criteria data store as a function of the filter change request; receiving a content dataset relating to the network traffic; identifying the content dataset as being associated with the subscriber; retrieving the set of filter criteria associated with the subscriber from the data store; and filtering the network traffic as a function of the set of filter criteria. Embodiments further provide layers of access for different entities to the filtered traffic.

Abstract: Novel solutions for detecting and/or treating malware on a subscriber's premise network. Such solutions can include, but are not limited to, tools and techniques that can detect, and/or enable the detection of, malware infections on individual subscriber devices within the subscriber's network. In a particular embodiment, for example, a premise gateway, or other device on the subscriber's premise network, is configured to analyze packets traveling through the premise gateway and, based on that analysis, identify one or more subscriber devices that are infected with malware.

Abstract: Methods and systems are disclosed for providing parties with levels of transparency into filtering functionality of network traffic inspection implementations. Embodiments include receiving a filter change request from a subscriber over a network that defines a modification to a set of filter criteria for filtering network traffic, the filter criteria being stored in association with the subscriber in a filter criteria data store; updating the set of filter criteria in the filter criteria data store as a function of the filter change request; receiving a content dataset relating to the network traffic; identifying the content dataset as being associated with the subscriber; retrieving the set of filter criteria associated with the subscriber from the data store; and filtering the network traffic as a function of the set of filter criteria. Embodiments further provide layers of access for different entities to the filtered traffic.

Abstract: Methods and systems are disclosed for providing parties with levels of transparency into filtering functionality of network traffic inspection implementations. Embodiments include receiving a filter change request from a subscriber over a network that defines a modification to a set of filter criteria for filtering network traffic, the filter criteria being stored in association with the subscriber in a filter criteria data store; updating the set of filter criteria in the filter criteria data store as a function of the filter change request; receiving a content dataset relating to the network traffic; identifying the content dataset as being associated with the subscriber; retrieving the set of filter criteria associated with the subscriber from the data store; and filtering the network traffic as a function of the set of filter criteria. Embodiments further provide layers of access for different entities to the filtered traffic.