Research on Tokenizing Behavior Footprints of Incomplete Transaction
The paper investigates the problem of tokenizing behavior footprints of incomplete transaction,starts from the software interactive behavior itself,tracks and analyses behavior sequences which generated by transactions,and finds the attribution for the behavior which lost token.We propose a system model in which transaction processing satisfied with the semi-Markov process under distributed environment,we use state division algorithm to strip transactions with random order,then,match the bipartite subsystems separately according to the maximum likelihood rule,finally,splice the matched results and form the complete transaction sequences,which improves the efficiency of the monitoring information.The simulation experiment has proved our method has both validity and accuracy in tokenizing incomplete transaction.