Systems for tracing Monero transaction chains using ordering of inputs and outputs

1 . A computer program product comprising a non-transitory computer useable storage device having a computer readable program, wherein the computer readable program when executed on a server computing device causes the server computing device to:

deploy, using the server computing device, a Monero node to a Monero network, the Monero node receiving and sending Monero network transactions from the Monero network;

monitor, using the Monero node, Monero network transaction chain data on the Monero network based on the receiving and sending Monero network transactions by the Monero node, the Monero network transaction chain data comprising input data and output data of Monero network transactions;

generate, with a processor, a user interface having a plurality of Monero transaction menus;

receive, at the user interface using the plurality of Monero transaction menus, Monero transaction identification data for searching, tracing, and tracking Monero transaction chains;

determine, at the server computing device, an input corresponding to the Monero transaction identification data;

analyze, at the server computing device, the input of the Monero transaction identification data;

based on the analyzing, determining, by the processor, a ring signature of the input of the Monero transaction identification data, the ring signature comprising a plurality of inputs, the plurality of inputs comprising a plurality of decoy inputs and a non-decoy input, the non-decoy input being a spendable and valid input;

analyze, by the processor using the Monero network transaction chain data, the plurality of inputs for determining a decoy probability for each of the plurality of inputs, the decoy probability being a numeric probability value that represents a likelihood that an input of the plurality of inputs is the non-decoy input and not one of the plurality of decoy inputs; and

generate, with the processor, a user interface displaying:

the ring signature including the plurality of inputs associated with the Monero network transactions; and

for each of the plurality of inputs, a corresponding probability that the input is the non-decoy input and not one of the plurality of decoy inputs.

2 . The computer program product of claim 1 , wherein the server computing device is further caused to:

order, using the server computing device, a plurality of inputs of the Monero transaction identification data and a plurality of outputs of the Monero transaction identification data;

store, using the server computing device and the order, the plurality of inputs of the Monero transaction identification data and the plurality of outputs of the Monero transaction identification data, wherein the order, using the server computing device, the plurality of inputs of the Monero transaction identification data and the plurality of outputs of the Monero transaction identification data comprises placing the plurality of outputs of the Monero transaction identification data before the plurality of inputs of the Monero transaction identification data.

3 . The computer program product of claim 2 , wherein the store, using the server computing device, the plurality of inputs of the Monero transaction identification data and the plurality of outputs of the Monero transaction identification data uses a bit array with one bit per potential state.

4 . The computer program product of claim 1 , wherein Monero is a decentralized cryptocurrency.

5 . The computer program product of claim 4 , wherein the determining the decoy probability for each of the plurality of inputs comprises: non-deterministic algorithms based on random simulation.

6 . The computer program product of claim 4 , wherein the determining the decoy probability for each of the plurality of inputs comprises: using optimization algorithms on a Bayesian Network.

7 . The computer program product of claim 4 , wherein the server computing device is further caused to identify the non-decoy input based on a corresponding probability.

8 . The computer program product of claim 7 , wherein the server computing device is further caused to receive, at the user interface, user input data indicating the Monero transaction identification data for searching, tracing, and tracking Monero transaction chains was used in an illegal transaction.

9 . The computer program product of claim 8 , wherein the server computing device is further caused to send the user input data indicating the Monero transaction identification data for searching, tracing, and tracking Monero transaction chains was used in an illegal transaction to a Monero related Virtual Asset Service Provider (VASP).

10 . A computer program product comprising a non-transitory computer useable storage device having a computer readable program, wherein the computer readable program when executed on a server computing device causes the server computing device to:

receive, using the server computing device, Monero network transactions from a Monero node, the Monero node being a third-party Monero node associated with a Monero network;

monitor, using the Monero node, Monero network transaction chain data on a Monero network based on the Monero network transactions from the Monero node, the Monero network transaction chain data comprising input data and output data of Monero network transactions;

generate, with the server computing device, a user interface having a plurality of Monero transaction menus;

receive, at the user interface using the plurality of Monero transaction menus, Monero transaction identification data for searching, tracing, and tracking Monero transaction chains;

determine, by the server computing device, an input corresponding to the Monero transaction identification data;

analyze, by the server computing device, the input of the Monero transaction identification data;

based on the analyzing, determining, by the server computing device, a ring signature of the input of the Monero transaction identification data, the ring signature comprising a plurality of inputs, the plurality of inputs comprising a plurality of decoy inputs and a non-decoy input, the non-decoy input being a spendable and valid input;

analyze, by the server computing device, using the Monero network transaction chain data, the plurality of inputs for determining a decoy probability for each of the plurality of inputs, the decoy probability being a numeric probability value that represents a likelihood that an input of the plurality of inputs is the non-decoy input and not one of the plurality of decoy inputs; and

generate, with the server computing device, a user interface displaying:

the ring signature including the plurality of inputs associated with the Monero network transactions; and

for each of the plurality of inputs, a corresponding probability that the input is the non-decoy input and not one of the plurality of decoy inputs.

11 . A computer implemented method for searching, tracing, and tracking Monero transaction chains comprising:

deploying, using a server computing device, a Monero node to a Monero network, the Monero node receiving and sending Monero network transactions from the Monero network;

monitoring, using the Monero node, Monero network transaction chain data on the Monero network based on the receiving and sending Monero network transactions by the Monero node, the Monero network transaction chain data comprising input data and output data of Monero network transactions;

receiving Monero transaction identification data for searching, tracing, and tracking Monero transaction chains;

determining, at the server computing device, an input corresponding to the Monero transaction identification data;

analyzing, at the server computing device, the input of the Monero transaction identification data;

based on the analyzing, determining a ring signature of the input of the Monero transaction identification data, the ring signature comprising a plurality of inputs, the plurality of inputs comprising a plurality of decoy inputs and a non-decoy input, the non-decoy input being a spendable and valid input;

analyzing, using the Monero network transaction chain data, the plurality of inputs for determining a decoy probability for each of the plurality of inputs, the decoy probability being a numeric probability value that represents a likelihood that an input of the plurality of inputs is the non-decoy input and not one of the plurality of decoy inputs; and

generating a user interface displaying;

the ring signature including the plurality of inputs associated with the Monero network transactions; and

for each of the plurality of inputs, a corresponding probability that the input is the non-decoy input and not one of the plurality of decoy inputs.

12 . The computer implemented method of claim 11 , further comprising:

ordering, using the server computing device, the plurality of inputs of the Monero transaction identification data and a plurality of outputs of the Monero transaction identification data;

storing, using the server computing device and the order, the plurality of inputs of the Monero transaction identification data and the plurality of outputs of the Monero transaction identification data, wherein the ordering, using the server computing device, the plurality of inputs of the Monero transaction identification data and the plurality of outputs of the Monero transaction identification data comprises placing the plurality of outputs of the Monero transaction identification data before the plurality of inputs of the Monero transaction identification data.

13 . The computer implemented method of claim 12 , wherein the storing, using the server computing device, the plurality of inputs of the Monero transaction identification data and the plurality of outputs of the Monero transaction identification data uses a bit array with one bit per potential state.

14 . The computer implemented method of claim 11 , wherein Monero is a decentralized cryptocurrency.

15 . The computer implemented method of claim 14 , wherein the determining the decoy probability for each of the plurality of inputs comprises: non-deterministic algorithms based on random simulation.

16 . The computer implemented method of claim 14 , wherein the determining the decoy probability for each of the plurality of inputs comprises: using optimization algorithms on a Bayesian Network.

17 . The computer implemented method of claim 14 , further comprising:

displaying, on the user interface, the corresponding probability as a percentage that the input is the non-decoy input and not one of the plurality of decoy inputs.

18 . The computer implemented method of claim 11 , further comprising receiving, at the user interface, user input data indicating the Monero transaction identification data for searching, tracing, and tracking Monero transaction chains was used in an illegal transaction.

19 . The computer implemented method of claim 18 , further comprising:

sending the user input data indicating the Monero transaction identification data for searching, tracing, and tracking Monero transaction chains was used in an illegal transaction to a Monero related Virtual Asset Service Provider (VASP).