构件特别是第三方构件的可靠性及安全性是影响构件技术发展的重要因素之一.目前在构件安全漏洞的测试方法和技术方面研究还不够深入.提出了一种构件安全测试错误注入模型FI M(fault injection model of component security testing),并...构件特别是第三方构件的可靠性及安全性是影响构件技术发展的重要因素之一.目前在构件安全漏洞的测试方法和技术方面研究还不够深入.提出了一种构件安全测试错误注入模型FI M(fault injection model of component security testing),并对FI M模型的相关定义及其矩阵形式进行了详细阐述,同时基于FI M模型给出了一种错误注入测试用例生成算法TGSM(test-case generating based on solution matrix).TGSM算法根据矩阵形式的FI M模型生成满足K因素覆盖的解矩阵,解矩阵的所有行数据组成了错误注入测试用例.在研究项目CSTS(component securitytesting system)中实现了FI M模型,实验结果表明FI M生成的三因素覆盖错误注入测试用例效果显著,能用适当的测试用例触发绝大部分构件安全异常.FI M模型具有较好的可操作性及可用性.展开更多
Mass monitor logs are produced during the process of component security testing. In order to mine the explicit and implicit security exception information of the tested component, the log should be searched for keywor...Mass monitor logs are produced during the process of component security testing. In order to mine the explicit and implicit security exception information of the tested component, the log should be searched for keyword strings. However, existing string-searching algorithms are not very efficient or appropriate for the operation of searching monitor logs during component security testing. For mining abnormal information effectively in monitor logs, an improved string-searching algorithm is proposed. The main idea of this algorithm is to search for the first occurrence of a character in the main string. The character should be different and farther from the last character in the pattern string. With this algorithm, the backward moving distance of the pattern string will be increased and the matching time will be optimized. In the end, we conduct an experimental study based on our approach, the results of which show that the proposed algorithm finds strings in monitor logs 11.5% more efficiently than existing approaches.展开更多
基金supported by the National Natural Science Foundation of China (Nos.61202110 and 61502205)the Postdoctoral Science Foundation of China (Nos.2015M571687 and 2015M581739)the Graduate Research Innovation Project of Jiangsu Province (No.KYLX15 1079)
文摘Mass monitor logs are produced during the process of component security testing. In order to mine the explicit and implicit security exception information of the tested component, the log should be searched for keyword strings. However, existing string-searching algorithms are not very efficient or appropriate for the operation of searching monitor logs during component security testing. For mining abnormal information effectively in monitor logs, an improved string-searching algorithm is proposed. The main idea of this algorithm is to search for the first occurrence of a character in the main string. The character should be different and farther from the last character in the pattern string. With this algorithm, the backward moving distance of the pattern string will be increased and the matching time will be optimized. In the end, we conduct an experimental study based on our approach, the results of which show that the proposed algorithm finds strings in monitor logs 11.5% more efficiently than existing approaches.
