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您的检索式：作者名="Peiyao Han"
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| 1 | A Python Security Analysis Framework in Integrity Verification and Vulnerability Detection显示文摘Python is widely used in web crawler, machine learning, data analysis and so on. However, there is no guarantee that Python scripts are trusted in their whole lifetime because of system insecurity. When the system is attacked, scripts in the computer are likely to be tampered with. Therefore, the trustworthiness of Python scripts needs to be checked through different configuration strategies, including integrity verification and vulnerability detection. In this paper, integrity verification and vulnerability detection are based on two Python scripts, an original Python script and a current Python script, and the original Python script is assumed to has no vulnerabilities. By comparing with the original script, we can find out whether the current script is integrity or not and detect whether there are vulnerabilities if the integrity of the current file is destroyed. Integrity verification with Hash functions is not applied in some cases. In this mode, any changes including blank lines added are considered illegal. So loose integrity verification by combining UNIX diff tool with abstract syntax trees is proposed. The vulnerability detection starts from the premise that the original Python script has no vulnerabilities, and taint analysis is applied on the vulnerability detection framework Bandit to find vulnerabilities. Besides, in order not to change the usage of Python, both integrity verification and vulnerability detection modules are embedded in Python interpreter. The experiments show that the performance of security analysis framework is good and Bandit with taint can greatly reduce the false positive results without affecting the performance. | PENG Shuanghe LIU Peiyao HAN Jing | 2019 | Wuhan University Journal of Natural Sciences2019，24，2： | 2 |
| 2 | Genetic diversity and population structure of Robinia pseudoacacia from six improved variety bases in China as revealed by simple sequence repeat markers显示文摘Robinia pseudoacacia is an important afforesta-tion tree introduced to China in 1878.In the present study,we examined the genetic diversity among 687 strains rep-resenting four improved varieties and two secondary prov-enances,comprising 641 clones and 46 seedlings.Ninety-one simple sequence repeats(SSRs)were selected through segregation analysis and polymorphism characterization,and all sampled individuals were genotyped using well-characterized SSR markers.After excluding loci with non-neutral equilibrium,missing locus data and null alleles,we used 36 primer pairs to assess the genetic diversity of these germplasm resources,revealing vast genetic differentiation among the samples,with an average of 8.352 alleles per locus and a mean Shannon′s index of 1.302.At the popula-tion level,the partitioning of variability was assessed using analysis of molecular variance,which revealed 93%and 7%variation within and among collection sites,respectively.Four clusters were detected using structure analysis,indi-cating a degree of genetic differentiation among the six populations.Insights into the genetic diversity and structure of R.pseudoacacia provide a theoretical basis for the con-servation,breeding and sustainable development in China. | Qi Guo Sen Cao Li Dong Xiuyu Li Jiangtao Zhang Yuanshuai Zhang Zijie Zhang Yuhan Sun Cui Long Yingming Fan Chao Han Peiyao Han Xiaodi Liu Yun Li | 2022 | Journal of Forestry Research2022，33，2： | 0 |
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