期刊：
Journal of Physics: Conference Series,2020年1575(1):012094 ISSN：1742-6588
通讯作者：
Zhao, Juanjuan
作者机构：
[Zhao, Juanjuan; Liu, Changhua] Wuhan Polytech Univ, Dept Math & Comp, POB 430023, Wuhan, Hubei, Peoples R China.
通讯机构：
[Zhao, Juanjuan] W;Wuhan Polytech Univ, Dept Math & Comp, POB 430023, Wuhan, Hubei, Peoples R China.
会议名称：
5th Annual International Conference on Information System and Artificial Intelligence (ISAI)
会议时间：
MAY 22-23, 2020
会议地点：
Zhejiang, PEOPLES R CHINA
会议主办单位：
[Zhao, Juanjuan;Liu, Changhua] Wuhan Polytech Univ, Dept Math & Comp, POB 430023, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Journal of Physics Conference Series
摘要：
According to the "Top Ten Security Vulnerabilities List" (OWASPTop 10) released by OWASP in 2017, SQL injection attacks are still at the top of the list, and there are many ways of SQL injection attacks, which cause great harm. Although there are many vulnerability scanning tools, there is still a high rate of false negatives. Aiming at the current problems of SQL injection vulnerability detection, this paper proposes a scanning tool for SQL injection vulnerabilities. First, use the crawler framework scrapy to obtain the URL associated with the form and the a tag, and segment the URL based on the improved simhash algorithm. Deduplicate the link, then analyze the injection point to modify the URL parameter value injection test, and determine whether there is a vulnerability based on the response result of the server. The experimental results show that the detection method achieves a 96.50% URL deduplication rate in the crawler module, which greatly reduces the rate of false negatives. It is more suitable for detecting whether a website has a SQL injection vulnerability.
期刊：
Lecture Notes in Electrical Engineering,2018年474:727-733 ISSN：1876-1100
通讯作者：
Ruan Ling
作者机构：
[Liu Changhua; Wang Yuling; Ruan Ling] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
通讯机构：
[Ruan Ling] W;Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
会议名称：
12th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE) / 9th International Conference on Computer Science and its Applications (CSA)
会议时间：
DEC 18-20, 2017
会议地点：
Taichung, TAIWAN
会议主办单位：
[Ruan Ling;Liu Changhua;Wang Yuling] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.
摘要：
The recommended algorithm is one of the most popular applications of today. Firstly, the original data is cleaned and processed, and then the association rules model and user value analysis model are established in this paper. Secondly, a Apriori algorithm is used to analyze the relationship between user history access records and the user group of K-means algorithm is used to divide value. Finally, the experimental results show that the results of the output of the association rules and the clustering analysis of the user value have some reference significance.
期刊：
ITM Web of Conferences,2017年11:03002 ISSN：2271-2097
通讯作者：
Liu, Chang-Hua
作者机构：
[Zhang, Shao-Hua; Liu, Chang-Hua] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
通讯机构：
[Liu, Chang-Hua] W;Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议名称：
International Conference on Information Science and Technology (IST)
会议时间：
MAR 24-26, 2017
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Zhang, Shao-Hua;Liu, Chang-Hua] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan, Hubei, Peoples R China.
会议论文集名称：
ITM Web of Conferences
关键词：
conference;proceedings;computer;mathematics
摘要：
Communication base stations generate massive data every day, these base station logs play an important value in mining of the business circles. This paper use data mining technology and hierarchical clustering algorithm to group the scope of business circle for the base station by recording the data of these base stations. Through analyzing the data of different business circle based on feature extraction and comparing different business circle category characteristics, which can choose a suitable area for operators of commercial marketing.
