Abstract: A method and system for automated identification of phishing, phony, and malicious web sites are disclosed. According to one embodiment, a computer implemented method, comprises receiving a first input, the first input including a universal resource locator (URL) for a webpage. A second input is received, the second input including feedback information related to the webpage, the feedback information including an indication designating the webpage as safe or unsafe. A third input is received from a database, the third input including reputation information related to the webpage. Data is extracted from the webpage. A safety status is determined for the webpage, including whether the webpage is hazardous by using a threat score for the webpage and the second input, wherein calculating the threat score includes analyzing the extracted data from the webpage. The safety status for the webpage is reported.

Abstract: Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.

Abstract: Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.

Abstract: A site analysis system to determine a security level of a website comprises a communication transceiver and a processing system. The communication transceiver is configured to receive content information associated with the website describing a current state of the website, receive historical event information associated with the website, and receive external information associated with the website from a source external to the website. The processing system is configured to process the content information to determine a content score for the website, process the historical event information and the external information to determine a reputational score for the website, and process the content score and the reputational score to generate a final score for the website.

Abstract: A method and system for automated identification of phishing, phony, and malicious web sites are disclosed. According to one embodiment, a computer implemented method, comprises receiving a first input, the first input including a universal resource locator (URL) for a webpage. A second input is received, the second input including feedback information related to the webpage, the feedback information including an indication designating the webpage as safe or unsafe. A third input is received from a database, the third input including reputation information related to the webpage. Data is extracted from the webpage. A safety status is determined for the webpage, including whether the webpage is hazardous by using a threat score for the webpage and the second input, wherein calculating the threat score includes analyzing the extracted data from the webpage. The safety status for the webpage is reported.

Abstract: An event-driven auto-restoration system for websites comprises a processing system. The processing system is configured to detect an event associated with a website indicative of a change in the website to an undesired state. The processing system is further configured to dynamically generate a restoration process and employ the restoration process to restore the website to a desired state. The processing system is further configured to employ a verification process to verify that the website has been restored to the desired state.

Abstract: A site analysis system to determine a security level of a website comprises a communication transceiver and a processing system. The communication transceiver is configured to receive content information associated with the website describing a current state of the website, receive historical event information associated with the website, and receive external information associated with the website from a source external to the website. The processing system is configured to process the content information to determine a content score for the website, process the historical event information and the external information to determine a reputational score for the website, and process the content score and the reputational score to generate a final score for the website.

Abstract: A system of delivering personalized streaming content to a destination based on automatic detection of context. A thin stream gateway delivers content to all devices in range, where the range is intentionally limited. Bidirectional communication is established between a fixed and a mobile gateway. The mobile gateway deduces its location from the streams received by the fixed gateway. The mobile gateway provides personal information to the fixed gateway. Handoff between gateways is also supported. The gateways can also form a blanket, that can be used to support ad hoc communication.