Visible to the public Biblio

Filters: Author is Ping, C.  [Clear All Filters]
2021-03-15
Lin, P., Jinshuang, W., Ping, C., Lanjuan, Y..  2020.  SQL Injection Attack and Detection Based on GreenSQL Pattern Input Whitelist. 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE). :187—190.

With the rapid development of Internet technology, the era of big data is coming. SQL injection attack is the most common and the most dangerous threat to database. This paper studies the working mode and workflow of the GreenSQL database firewall. Based on the analysis of the characteristics and patterns of SQL injection attack command, the input model of GreenSQL learning is optimized by constructing the patterned input and optimized whitelist. The research method can improve the learning efficiency of GreenSQL and intercept samples in IPS mode, so as to effectively maintain the security of background database.

2020-11-02
Ping, C., Jun-Zhe, Z..  2019.  Research on Intelligent Evaluation Method of Transient Analysis Software Function Test. 2019 International Conference on Advances in Construction Machinery and Vehicle Engineering (ICACMVE). :58–61.

In transient distributed cloud computing environment, software is vulnerable to attack, which leads to software functional completeness, so it is necessary to carry out functional testing. In order to solve the problem of high overhead and high complexity of unsupervised test methods, an intelligent evaluation method for transient analysis software function testing based on active depth learning algorithm is proposed. Firstly, the active deep learning mathematical model of transient analysis software function test is constructed by using association rule mining method, and the correlation dimension characteristics of software function failure are analyzed. Then the reliability of the software is measured by the spectral density distribution method of software functional completeness. The intelligent evaluation model of transient analysis software function testing is established in the transient distributed cloud computing environment, and the function testing and reliability intelligent evaluation are realized. Finally, the performance of the transient analysis software is verified by the simulation experiment. The results show that the accuracy of the software functional integrity positioning is high and the intelligent evaluation of the transient analysis software function testing has a good self-adaptability by using this method to carry out the function test of the transient analysis software. It ensures the safe and reliable operation of the software.