Abstract: Techniques are disclosed of enabling projects to be managed for grouping artifacts about related network activity. A graphical interface can be provided to enable users to create both public and private projects with information including names, descriptions, collaborators and monitoring profiles. A project can include context and history of the project so multiple users can collaborate within a project to view the analysis process as assets are identified in the project. Information is retrieved for identified assets in separate projects and is available for display in the graphical interface.

Abstract: Techniques are disclosed of detection and analysis of network-based assets under common management by an entity. Network-based assets that are under common management by an entity may be owned or associated with the entity. Some network assets may appear to be under the common management of an entity, but may be operated by an unauthorized entity. Detecting a relationship between or ownership of network assets for malicious network activity may be a challenge. Specifically, the connection between authorized assets and unauthorized assets may be difficult to identify, especially if assets are masked or changed to evade detection. A network analytic system is disclosed that can process different data from multiple sources (e.g., at least multiple, disparate data sources) to identify relationships between network-based assets.

Abstract: An inventory of Internet-facing assets related to a target domain is generated using network data gathered from network data sources. Using data sources of known threats, such as malware, phishing attempts, scam pages, blacklisted sites, and so on, a network analytic system generates analytical information about domains, sub-domains, and components that are owned, managed, and/or controlled by a target entity. A confidence score of ownership is generated based on a recursive rule engine. A visual representation of the inventory of Internet-facing assets is generated in a graphical user interface.

Abstract: Techniques are disclosed of detection and analysis of network-based assets under common management by an entity. Network-based assets that are under common management by an entity may be owned or associated with the entity. Some network assets may appear to be under the common management of an entity, but may be operated by an unauthorized entity. Detecting a relationship between or ownership of network assets for malicious network activity may be a challenge. Specifically, the connection between authorized assets and unauthorized assets may be difficult to identify, especially if assets are masked or changed to evade detection. A network analytic system is disclosed that can process different data from multiple sources (e.g., at least multiple, disparate data sources) to identify relationships between network-based assets.

Abstract: An inventory of Internet-facing assets related to a username within a social media site is generated using network data gathered from network data sources. Using data sources of known threats, such as malware, phishing attempts, scam pages, blacklisted sites, and so on, a network analytic system generates analytical information about components that are owned, managed, and/or controlled by a target entity. A measure of identity threat is generated based on a classification model using the analytical information.

Abstract: Techniques are disclosed of detection and analysis of network-based assets under common management by an entity. Network-based assets that are under common management by an entity may be owned or associated with the entity. Some network assets may appear to be under the common management of an entity, but may be operated by an unauthorized entity. Detecting a relationship between or ownership of network assets for malicious network activity may be a challenge. Specifically, the connection between authorized assets and unauthorized assets may be difficult to identify, especially if assets are masked or changed to evade detection. A network analytic system is disclosed that can process different data from multiple sources (e.g., at least multiple, disparate data sources) to identify relationships between network-based assets.

Abstract: An inventory of Internet-facing assets related to a username within a social media site is generated using network data gathered from network data sources. Using data sources of known threats, such as malware, phishing attempts, scam pages, blacklisted sites, and so on, a network analytic system generates analytical information about components that are owned, managed, and/or controlled by a target entity. A measure of identity threat is generated based on a classification model using the analytical information.

Abstract: An inventory of Internet-facing assets related to a target domain is generated using network data gathered from network data sources. Using data sources of known threats, such as malware, phishing attempts, scam pages, blacklisted sites, and so on, a network analytic system generates analytical information about domains, sub-domains, and components that are owned, managed, and/or controlled by a target entity. A confidence score of ownership is generated based on a recursive rule engine. A visual representation of the inventory of Internet-facing assets is generated in a graphical user interface.

Abstract: Techniques are disclosed of enabling projects to be managed for grouping artifacts about related network activity. A graphical interface can be provided to enable users to create both public and private projects with information including names, descriptions, collaborators and monitoring profiles. A project can include context and history of the project so multiple users can collaborate within a project to view the analysis process as assets are identified in the project. Information is retrieved for identified assets in separate projects and is available for display in the graphical interface.

Abstract: An inventory of Internet-facing assets related to a target domain is generated using network data gathered from network data sources. Using data sources of known threats, such as malware, phishing attempts, scam pages, blacklisted sites, and so on, a network analytic system generates analytical information about domains, sub-domains, and components that are owned, managed, and/or controlled by a target entity. A confidence score of ownership is generated based on a recursive rule engine. A visual representation of the inventory of Internet-facing assets is generated in a graphical user interface.

Abstract: An inventory of Internet-facing assets related to a target domain is generated using network data gathered from network data sources. Using data sources of known threats, such as malware, phishing attempts, scam pages, blacklisted sites, and so on, a network analytic system generates analytical information about domains, sub-domains, and components that are owned, managed, and/or controlled by a target entity. A measure of domain identity threat is generated based on a classification model using the analytical information.

Abstract: Disclosed is a system and method for enabling serial cybersquatter detection. The disclosed systems and methods provide brand owners the ability to go after serial cybersquatters that are infringing multiple brands in a single proceeding, thereby allowing class complainants to share in the Uniform Dispute Resolution Policy (UDRP) costs and preparation fees. In some embodiments, the disclosed systems and methods provide an online tool that enables researchers to identify serial cybersquatters (e.g., cybersquatters who own dozens, sometimes hundreds of domains containing trademarks). The disclosed systems and methods enable identifying serial violators and connecting brands with each other so they can file a class action suit against an identified cybersquatter.

Abstract: A brand name is used to generate a domain name portfolio comprising at least one brand domain name comprising the brand name and a top-level domain name, and at least one qualified brand domain name comprising the brand name, at least one qualifying term, and a top level domain name. Network traffic is tracked for each of the domain names in the domain name portfolio over an analysis period. A role of brand index is determined, wherein the role of brand index is determined using the ratio of network traffic for the brand domain name to a total of the network traffic for all domain names in the domain name portfolio. Additionally, revenue generated by websites linked to each of the domain names in the domain name portfolio is tracked over the analysis period. Brand earnings are then calculated the revenue generated by websites.

Abstract: In one embodiment, the present invention relates to a method and system that receives a seed term, obtains a corpus of candidate terms, where each candidate term comprises the seed term or variants of the seed term, obtains network traffic information associated with each candidate term in the corpus of candidate terms, and compiles a set of domain names based on the network traffic information. Each domain name in the set comprises one of the corpus of candidate terms.

Abstract: A brand name is used to generate a domain name portfolio comprising at least one brand domain name comprising the brand name and a top-level domain name, and at least one qualified brand domain name comprising the brand name, at least one qualifying term, and a top level domain name. Network traffic is tracked for each of the domain names in the domain name portfolio over an analysis period. A role of brand index is determined, wherein the role of brand index is determined using the ratio of network traffic for the brand domain name to a total of the network traffic for all domain names in the domain name portfolio. Additionally, revenue generated by websites linked to each of the domain names in the domain name portfolio is tracked over the analysis period. Brand earnings are then calculated the revenue generated by websites.

Abstract: Techniques are described herein that enable a determination of a user's mood based on biometric characteristic(s) of the user in an online system. An online system is a system that supports the transfer of information via the Internet. The mood of the user at a time instance (i.e., a mood instance) is determined based on the biometric characteristic(s) of the user and a substantially real-time instance(s) associated with the user. A substantially real-time instance associated with the user is any occurrence with respect to the user that is determined in substantially real-time. The mood instance of the user and the substantially real-time instance that is associated with the user may (or may not) occur at the same time instance. Online content may be provided to the user and/or action(s) may be recommended to the user in response to determining the mood instance of the user.

Abstract: A method of validating a transaction between a giving entity and a receiving entity includes: providing receiving-entity context values to the receiving entity for evaluating requests by the receiving entity; accepting request values for the receiving entity, wherein the request values include values for at least one of goods, services or currency; determining a receiving-entity request item in a database from the request values and the receiving-entity context values, wherein the database is stored in a computer-readable medium; providing giving-entity context values to the giving entity for evaluating offers by the giving entity; accepting offer values for the giving entity, wherein the offer values include values for at least one of goods, services or currency; determining a giving-entity offer item in the database from the offer values and the giving-entity context values; and determining transaction conditions in the database from the receiving-entity request item and the giving-entity offer item, wherei

Abstract: In one embodiment, the present invention relates to a method and system that receives a seed term, obtains a corpus of candidate terms, where each candidate term comprises the seed term or variants of the seed term, obtains network traffic information associated with each candidate term in the corpus of candidate terms, and compiles a set of domain names based on the network traffic information. Each domain name in the set comprises one of the corpus of candidate terms.

Abstract: Disclosed herein are a system and method to identify one or more tasks, determine a community corresponding to an identified task, receive input from the determined community, e.g. valuation input, suggestions on a performer of the task, inquiry input, etc. A value is assigned for the task using input received from the determined community. The determined community that values the task may be responsible for paying an amount equal to the value of the task identified by the community in exchange for performance of the task.