Immunization method for user behavior detection in electronic transaction process

Abstract

An immunization method for user behavior detection in the electronic transaction process comprises a data preprocessing step in which the operation process of a user is processed into a sequence format and related repeated data is cleaned, a training step in which the age value of each sequence is calculated in chronological order and according to the age evolution process, aged logs are deleted according to the age values, and a normal sequence library (namely, antibody) is extracted, a detection step in which whether a newly generated transaction sequence is mutated is detected, and an updating step in which the autologous and allogeneic age values are updated in a timely manner and a related library set is updated. The immunization method is designed for abnormal situations in the electronic transaction process, which may be misoperation by users, illegal operation caused by false account use, or other situations not in accordance with behavior habits of users. The immunization method for user behavior detection in the electronic transaction process is provided for e-commerce and third-party payment platforms, and has the characteristics of being controllable and preventable, adaptive, self-learning, and the like.

Description

technical field [0001] The invention relates to the field of electronic commerce security. Background technique [0002] In recent years, the development of e-commerce in my country can be described as changing with each passing day, and the performance of electronic transactions in the past year has reached a new height. However, there are hidden dangers behind the high speed. Due to the immature technology and late start, the credible crisis of electronic transactions in my country is more serious than other countries, and malicious behaviors such as fraud, fraudulent account use, and phishing emerge in endlessly. These malicious acts and the user's own misoperation do not conform to the user's behavior habits, and are all abnormal situations in the electronic transaction process. [0003] In practical applications, the traditional account password system can no longer guarantee the credibility of electronic transactions, and the existing intrusion detection methods canno...

AI Technical Summary

Problems solved by technology

[0003] In practical applications, the traditional account password system can no longer guarantee the credibility of electronic transactions, and the existing intrusion detection methods cannot adapt to new fraud methods. Therefore, at present, e-commerce and third-party payment platforms generally use manual detection methods , and limit abnormal behavior by adding rules. Although this method has a low false positive rate, it is poor in adaptability and costs a lot of manpower and material resources.

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