Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: The MetaSafe platform disclosed in this application is a decentralized storage and peer-to-peer network that utilizes Internet Gateway's (Routers) resources such as processor, storage, and network bandwidth to run a Blockchain network and provides services such as decentralized secured storage and peer-to-peer internet traffic routine for privacy that enables anyone with an Internet connection to store their information securely from any computing device and retrieve it on demand or share it at will. Due to its decentralized nature, and no single authority controlling or running the network, data is almost hackproof and not subject to any commercial exploitation. The enhancements comprise Proof of Stake consensus protocol vs. Proof of work to make it low-cost participation, utility token to incentivize the developers and network validators, and finally the ability to run the network validation on thousands of routers, the most under-utilized but the most important piece of hardware that's always online.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Various embodiments provide an approach to application of access rules for Internet access based on DHCP host names in absence of a unique MAC address. The access rules can be modified by giving due consideration to various parameters associated with the users of the system. The system can be configured and managed by using mobile apps and web interfaces.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Embodiments of the present invention disclose systems and methods for controlled access to a website from a mobile device when the mobile device is connected with an external public or private network away from home. Certain embodiments provide for such protection and security through the use of smart and secure home router which is connected to the mobile device through a virtual private network, whether in a module form or as a standalone server.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Provided are compositions and methods for prophylaxis and/or therapy of ErbB1-positive cancer. The compositions include pharmaceutical preparations that contain isolated or recombinant or modified peptidase D (PEPD) proteins. The methods include prophylaxis and/or therapy of ErbB1-positive cancer by administering a PEPD to an individual who has or is at risk for developing ErbB1-positive cancer.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: Various embodiments provide an approach to controlled access of websites based on website content, and profile for the person consuming the data. In operation, machine learning techniques are used to classify the websites based on community and social media inputs, crowdsourced data, as well as access rules implemented by parents or system administrators. Feedback from users/admins of the system, including the instances of allowed or denied access to websites, in conjunction with other relevant parameters, is used for iterative machine learning techniques.

Abstract: A method for detecting circulating levels of beta amyloid peptides in an individual by administration of one or more inhibitors of an extracellular proteolytic pathway in blood and detection of the beta amyloid peptides in the blood or a fraction thereof. An example of an inhibitor is an anticoagulant. Levels of desired beta amyloid peptides such as A?1-40 and A?1-42 can be determined in the blood samples collected from the individuals.