Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A location of a transaction or payment request is compared with a location of a user device to determine whether the distance is great enough to send an alert for a possible fraudulent transaction. The user device location may be predicted based on a last known location and information about the area of the last known location and movement of the user device.

Abstract: Pursuant to some embodiments, systems, methods and computer program code are provided for operating a service to analyze a request from an applicant (such as a request or application for credit).

Abstract: A location of a transaction or payment request is compared with a location of a user device to determine whether the distance is great enough to send an alert for a possible fraudulent transaction. The user device location may be predicted based on a last known location and information about the area of the last known location and movement of the user device.

Abstract: A location of a transaction or payment request is compared with a location of a user device to determine whether the distance is great enough to send an alert for a possible fraudulent transaction. The user device location may be predicted based on a last known location and information about the area of the last known location and movement of the user device.

Abstract: A location of a transaction or payment request is compared with a location of a user device to determine whether the distance is great enough to send an alert for a possible fraudulent transaction. The user device location may be predicted based on a last known location and information about the area of the last known location and movement of the user device.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A location of a transaction or payment request is compared with a location of a user device to determine whether the distance is great enough to send an alert for a possible fraudulent transaction. The user device location may be predicted based on a last known location and information about the area of the last known location and movement of the user device.

Abstract: A method for performing vending transactions includes generating a token upon request by a wireless appliance is provided. The method includes placing the token in a remote server; placing the token in the wireless appliance; providing the token from the wireless appliance to a point-of-sale (POS) terminal; authenticating the token with the remote server; validating the token to perform the vending transaction; and deleting the token from the remote server when the vending transaction is complete. A method for using a wireless appliance in vending transactions is provided. A method for using a remote server configured to connect to a wireless appliance and a POS terminal in vending transactions is provided. A system to perform vending transactions using an internet connection as above is provided. The system may include a remote server including a private account; the remote server configured to communicate with a POS terminal and a wireless appliance.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A method for performing vending transactions includes generating a token upon request by a wireless appliance is provided. The method includes placing the token in a remote server; placing the token in the wireless appliance; providing the token from the wireless appliance to a point-of-sale (POS) terminal; authenticating the token with the remote server; validating the token to perform the vending transaction; and deleting the token from the remote server when the vending transaction is complete. A method for using a wireless appliance in vending transactions is provided. A method for using a remote server configured to connect to a wireless appliance and a POS terminal in vending transactions is provided. A system to perform vending transactions using an internet connection as above is provided. The system may include a remote server including a private account; the remote server configured to communicate with a POS terminal and a wireless appliance.

Abstract: A user device is associated with a dynamic trust score that may be updated as needed, where the trust score and the updates are based on various activities and information associated with the mobile device. The trust score is based on both parameters of the device, such as device type, registered device location, device phone number, device ID, the last time the device has been accessed, etc. and activities the device engages in, such as amount of transactions, dollar amount of transactions, amount of denied requests, amount of approved requests, location of requests, etc. Based on a transaction request from the user device, the trust score and a network reputation score is used to determine an overall trust/fraud score associated with the transaction request.

Abstract: A location of a transaction or payment request is compared with a location of a user device to determine whether the distance is great enough to send an alert for a possible fraudulent transaction. The user device location may be predicted based on a last known location and information about the area of the last known location and movement of the user device.

Abstract: The present invention relates to a device that can be used to prevent embolisms from accessing the brain and causing a stroke. The device can also prevent pulmonary embolism and to treat an aneurysm. The device provides a significant improvement to any similar devices currently in use.