A method for aggregating service data for transmission and risk analysis, the method comprising: collecting, by a client device, service data generated by one or more processors of the client device in response to a user of the client device executing a current operation behavior; extracting a pre-set variable corresponding to the current operation behavior from the service data; retrieving a first aggregated result computed using a pre-set algorithm, wherein the first aggregated result i) corresponds to the pre-set variable and to a time at which an immediately preceding operation behavior of the pre-set variable occurred, ii) comprises a first associated value of the pre-set variable, the first associated value corresponding to all of the preceding operation behaviors of the pre-set variable, and iii) is stored locally by the client device; computing, by the client device, a decay value using a decay function, wherein the decay function uses an input value comprising a duration between a time at which an immediately preceding operation of the pre-set variable behavior occurs and a time at which a current operation behavior occurs; computing, by the client device and using the pre-set algorithm, a second aggregated result, wherein the second aggregated result i) corresponds to the pre-set variable and to the time at which the current operation behavior occurs and ii) comprises a) the first aggregated result, b) the decay value, and c) a second associated value of the pre-set variable, the second associated value corresponding to the current operation behavior; locally storing, by the client device, the second aggregated result and deleting, by the client device, the locally stored first aggregated result; transmitting, from the client device and to a server, the second aggregated result at a predetermined time interval or after a predetermined number of operation behaviors executed by the user of the client device; inputting, by the server, the second aggregated result into a risk model; and performing risk identification on the current operation behavior according to a result output by the risk model. collecting, by a client device, service data generated by one or more processors of the client device in response to a user of the client device executing a current operation behavior; extracting a pre-set variable corresponding to the current operation behavior from the service data; retrieving a first aggregated result computed using a pre-set algorithm, wherein the first aggregated result i) corresponds to the pre-set variable and to a time at which an immediately preceding operation behavior of the pre-set variable occurred, ii) comprises a first associated value of the pre-set variable, the first associated value corresponding to all of the preceding operation behaviors of the pre-set variable, and iii) is stored locally by the client device; computing, by the client device, a decay value using a decay function, wherein the decay function uses an input value comprising a duration between a time at which an immediately preceding operation of the pre-set variable behavior occurs and a time at which a current operation behavior occurs; computing, by the client device and using the pre-set algorithm, a second aggregated result, wherein the second aggregated result i) corresponds to the pre-set variable and to the time at which the current operation behavior occurs and ii) comprises a) the first aggregated result, b) the decay value, and c) a second associated value of the pre-set variable, the second associated value corresponding to the current operation behavior; locally storing, by the client device, the second aggregated result and deleting, by the client device, the locally stored first aggregated result; transmitting, from the client device and to a server, the second aggregated result at a predetermined time interval or after a predetermined number of operation behaviors executed by the user of the client device; inputting, by the server, the second aggregated result into a risk model; and performing risk identification on the current operation behavior according to a result output by the risk model.