METHOD AND SYSTEM FOR BLOCKCHAIN TRUST MANAGEMENT TO AVOID ONLINE FRAUD

1 . A computer implemented method for blockchain trust management to avoid online fraud, comprising:

receiving a first email message from a mail server, wherein the first message is from a seller to a buyer confirming an online transaction;

receiving a second email message from the mail server, wherein the second email message is from a payment service to the buyer confirming a payment for an online transaction;

extracting information from the first email message and the second email message;

correlating the first email message and the second email message when the first email message and the second email message reference a same online transaction;

anonymizing personal information of a buyer that was extracted from the first email message and the second email message;

generating a block of data related to the transaction from the extracted information regarding the online transaction and the anonymized information of the buyer;

encrypting the generated block of data related to the transaction; and

publishing the encrypted block of data to a blockchain.

2 . The method of claim 1 , wherein the information is extracted using natural language recognition techniques.

3 . The method of claim 1 , wherein the extracted information includes at least the buyer, the seller, a purchase amount for the transaction, a timestamp of the purchase from the first email message, and a timestamp of the payment from the second email message.

4 . The method of claim 3 , wherein correlating comprises determining the first email message and the second email message reference a same seller, a same buyer, a same purchase amount, and the timestamp of the purchase and the timestamp of the payment are within a predefined timespan.

5 . The method of claim 1 , wherein the personal information of the buyer includes at least a name of the buyer, an address of the buyer, and an email address of the buyer.

6 . The method of claim 1 , wherein the generated block of data includes at least the seller, the anonymized email address of the buyer, a date of the transaction, and a purchase amount for the transaction.

7 . The method of claim 1 , wherein encrypting the generated block of data comprises digitally signing the block of data with a private key of the mail server.

8 . A system for blockchain trust management to avoid online fraud, comprising:

a) at least one processor;

b) at least one input device; and

c) at least one storage device storing processor-executable instructions which, when executed by the at least one processor, perform a method including:

receiving a first email message from a mail server, wherein the first message is from a seller to a buyer confirming an online transaction;

receiving a second email message from the mail server, wherein the second email message is from a payment service to the buyer confirming a payment for an online transaction;

extracting information from the first email message and the second email message;

correlating the first email message and the second email message when the first email message and the second email message reference a same online transaction;

anonymizing personal information of a buyer that was extracted from the first email message and the second email message;

generating a block of data related to the transaction from the extracted information regarding the online transaction and the anonymized information of the buyer;

encrypting the generated block of data related to the transaction; and

publishing the encrypted block of data to a blockchain.

9 . The system of claim 8 , wherein the information is extracted using natural language recognition techniques.

10 . The system of claim 8 , wherein the extracted information includes at least the buyer, the seller, a purchase amount for the transaction, a timestamp of the purchase from the first email message, and a timestamp of the payment from the second email message.

11 . The system of claim 10 , wherein correlating comprises determining the first email message and the second email message reference a same seller, a same buyer, a same purchase amount, and the timestamp of the purchase and the timestamp of the payment are within a predefined timespan.

12 . The system of claim 8 , wherein the personal information of the buyer includes at least a name of the buyer, an address of the buyer, and an email address of the buyer.

13 . The system of claim 8 , wherein the generated block of data includes at least the seller, the anonymized email address of the buyer, a date of the transaction, and a purchase amount for the transaction.

14 . The system of claim 8 , wherein encrypting the generated block of data comprises digitally signing the block of data with a private key of the mail server.

15 . A non-transitory computer readable medium for storing computer instructions that, when executed by at least one processor causes the at least one processor to perform a method for blockchain trust management to avoid online fraud, comprising:

receiving a first email message from a mail server, wherein the first message is from a seller to a buyer confirming an online transaction;

receiving a second email message from the mail server, wherein the second email message is from a payment service to the buyer confirming a payment for an online transaction;

extracting information from the first email message and the second email message;

correlating the first email message and the second email message when the first email message and the second email message reference a same online transaction;

anonymizing personal information of a buyer that was extracted from the first email message and the second email message;

generating a block of data related to the transaction from the extracted information regarding the online transaction and the anonymized information of the buyer;

encrypting the generated block of data related to the transaction; and

publishing the encrypted block of data to a blockchain.

16 . The non-transitory computer readable medium of claim 15 , wherein the information is extracted using natural language recognition techniques.

17 . The non-transitory computer readable medium of claim 15 , wherein the extracted information includes at least the buyer, the seller, a purchase amount for the transaction, a timestamp of the purchase from the first email message, and a timestamp of the payment from the second email message.

18 . The non-transitory computer readable medium of claim 17 , wherein correlating comprises determining the first email message and the second email message reference a same seller, a same buyer, a same purchase amount, and the timestamp of the purchase and the timestamp of the payment are within a predefined timespan.

19 . The non-transitory computer readable medium of claim 15 , wherein the personal information of the buyer includes at least a name of the buyer, an address of the buyer, and an email address of the buyer.

20 . The non-transitory computer readable medium of claim 15 , wherein the generated block of data includes at least the seller, the anonymized email address of the buyer, a date of the transaction, and a purchase amount for the transaction, and wherein encrypting the generated block of data comprises digitally signing the block of data with a private key of the mail server.