Abstract: A coupon-minter is configured to perform operations including: generating a coupon comprising encrypted discount information, wherein the encrypted discount information is encrypted with a discount key; generating, for the coupon, a hashlock from a preimage; introducing the coupon to a blockchain in association with the hashlock, wherein the blockchain is configured to permit claiming of the generated coupon only upon receiving access to the preimage used to generate the hashlock. A store-manager configured to perform operations including: claiming, using the preimage, the coupon in the blockchain; encrypting the discount key with a clearing-house public key; updating the coupon with the encrypted discount key. A clearing-house-manager configured to perform operations comprising: detecting the store-manager's claiming of the coupon; decrypting the encrypted discount key with a clearing-house private key to re-generate the discount key; and decrypting the encrypted discount information with the preimage.

Abstract: A coupon-minter is configured to perform operations including: generating a coupon comprising encrypted discount information, wherein the encrypted discount information is encrypted with a discount key; generating, for the coupon, a hashlock from a preimage; introducing the coupon to a blockchain in association with the hashlock, wherein the blockchain is configured to permit claiming of the generated coupon only upon receiving access to the preimage used to generate the hashlock. A store-manager configured to perform operations including: claiming, using the preimage, the coupon in the blockchain; encrypting the discount key with a clearing-house public key; updating the coupon with the encrypted discount key. A clearing-house-manager configured to perform operations comprising: detecting the store-manager's claiming of the coupon; decrypting the encrypted discount key with a clearing-house private key to re-generate the discount key; and decrypting the encrypted discount information with the preimage.

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 coupon-minter is configured to perform operations including: generating a coupon comprising encrypted discount information, wherein the encrypted discount information is encrypted with a discount key; generating, for the coupon, a hashlock from a preimage; introducing the coupon to a blockchain in association with the hashlock, wherein the blockchain is configured to permit claiming of the generated coupon only upon receiving access to the preimage used to generate the hashlock. A store-manager configured to perform operations including: claiming, using the preimage, the coupon in the blockchain; encrypting the discount key with a clearing-house public key; updating the coupon with the encrypted discount key. A clearing-house-manager configured to perform operations comprising: detecting the store-manager's claiming of the coupon; decrypting the encrypted discount key with a clearing-house private key to re-generate the discount key; and decrypting the encrypted discount information with the preimage.

Abstract: A coupon-minter is configured to perform operations including: generating a coupon comprising encrypted discount information, wherein the encrypted discount information is encrypted with a discount key; generating, for the coupon, a hashlock from a preimage; introducing the coupon to a blockchain in association with the hashlock, wherein the blockchain is configured to permit claiming of the generated coupon only upon receiving access to the preimage used to generate the hashlock. A store-manager configured to perform operations including: claiming, using the preimage, the coupon in the blockchain; encrypting the discount key with a clearing-house public key; updating the coupon with the encrypted discount key. A clearing-house-manager configured to perform operations comprising: detecting the store-manager's claiming of the coupon; decrypting the encrypted discount key with a clearing-house private key to re-generate the discount key; and decrypting the encrypted discount information with the preimage.

Abstract: A coupon-minter is configured to perform operations including: generating a coupon comprising encrypted discount information, wherein the encrypted discount information is encrypted with a discount key; generating, for the coupon, a hashlock from a preimage; introducing the coupon to a blockchain in association with the hashlock, wherein the blockchain is configured to permit claiming of the generated coupon only upon receiving access to the preimage used to generate the hashlock. A store-manager configured to perform operations including: claiming, using the preimage, the coupon in the blockchain; encrypting the discount key with a clearing-house public key; updating the coupon with the encrypted discount key. A clearing-house-manager configured to perform operations comprising: detecting the store-manager's claiming of the coupon; decrypting the encrypted discount key with a clearing-house private key to re-generate the discount key; and decrypting the encrypted discount information with the preimage.

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 coupon-minter is configured to perform operations including: generating a coupon comprising encrypted discount information, wherein the encrypted discount information is encrypted with a discount key; generating, for the coupon, a hashlock from a preimage; introducing the coupon to a blockchain in association with the hashlock, wherein the blockchain is configured to permit claiming of the generated coupon only upon receiving access to the preimage used to generate the hashlock. A store-manager configured to perform operations including: claiming, using the preimage, the coupon in the blockchain; encrypting the discount key with a clearing-house public key; updating the coupon with the encrypted discount key. A clearing-house-manager configured to perform operations comprising: detecting the store-manager's claiming of the coupon; decrypting the encrypted discount key with a clearing-house private key to re-generate the discount key; and decrypting the encrypted discount information with the preimage.

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 system and method for managing an Internet domain based on the geographic location of an accessing user. A particular embodiment of the system includes: receiving an access request from a client for access to a particular requested domain; determining a geo-location for the client; determining a corresponding geo-specific site based on the requested domain and the geo-location of the client; and redirecting the client access request to the corresponding geo-specific site.

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 system and method for managing an Internet domain based on the geographic location of an accessing user. A particular embodiment of the system includes: receiving an access request from a client for access to a particular requested domain; determining a geo-location for the client; determining a corresponding geo-specific site based on the requested domain and the geo-location of the client; and redirecting the client access request to the corresponding geo-specific site.

Abstract: A method and system for evaluating and selecting traceroutes to be used in determining the geographic location of a network block. A particular embodiment of the system includes a set of traceroute feature vector extractors, each traceroute feature vector extractor being associated with at least one of a plurality of traceroutes, each traceroute feature vector extractor being configured to generate a traceroute feature vector for at least one of the plurality of traceroutes; a set of traceroute classifiers each coupled to at least one of the traceroute feature vector extractors, each traceroute classifier being associated with at least one of the plurality of traceroutes, each traceroute classifier being configured to generate at least one traceroute classification and/or regression based on at least one of the traceroute feature vectors; and a traceroute geolocation determining engine.

Abstract: A system includes an interface to receive network geolocation information associated with a first party to a network session between the first entity and a second entity, coupled via a network. The network geolocation information is determined utilizing a network address of the first entity. The system further includes a decision logic module to obtain supplemental information concerning the first entity by harvesting the supplemental information locally at the first entity. The decision logic module is further to generate an assessment regarding compliance with a geolocation policy defined in connection with access to the second entity, the assessment being generated utilizing the network geolocation information and the supplemental information.