Introduction Chemical Abstracts Service （CAS）, a division of the American Chemical Society, is the most authoritative and comprehensive source for chemical information. CAS databases, including CAS REGISTRYSM, the g...Introduction Chemical Abstracts Service （CAS）, a division of the American Chemical Society, is the most authoritative and comprehensive source for chemical information. CAS databases, including CAS REGISTRYSM, the gold standard for substance information, are curated and quality-controlled by CAS scientists. Combining these databases with advanced search and analysis technologies, CAS delivers the most complete, cross-linked, and effective digital information environment for scientific research and discovery through such products as SciFinder, STN, STN Express, and STN AnaVistTM, as well as services, such as Science IP.展开更多
It is difficult to formalize the causes of vulnerability, and there is no effective model to reveal the causes and characteristics of vulnerability. In this paper, a vulnerability model construction method is proposed...It is difficult to formalize the causes of vulnerability, and there is no effective model to reveal the causes and characteristics of vulnerability. In this paper, a vulnerability model construction method is proposed to realize the description of vulnerability attribute and the construction of a vulnerability model. A vulnerability model based on chemical abstract machine（CHAM） is constructed to realize the CHAM description of vulnerability model, and the framework of vulnerability model is also discussed. Case study is carried out to verify the feasibility and effectiveness of the proposed model. In addition, a prototype system is also designed and implemented based on the proposed vulnerability model. Experimental results show that the proposed model is more effective than other methods in the detection of software vulnerabilities.展开更多
文摘Introduction Chemical Abstracts Service （CAS）, a division of the American Chemical Society, is the most authoritative and comprehensive source for chemical information. CAS databases, including CAS REGISTRYSM, the gold standard for substance information, are curated and quality-controlled by CAS scientists. Combining these databases with advanced search and analysis technologies, CAS delivers the most complete, cross-linked, and effective digital information environment for scientific research and discovery through such products as SciFinder, STN, STN Express, and STN AnaVistTM, as well as services, such as Science IP.
基金Supported by the National Natural Science Foundation of China(61202110 and 61502205)the Project of Jiangsu Provincial Six Talent Peaks(XYDXXJS-016)
文摘It is difficult to formalize the causes of vulnerability, and there is no effective model to reveal the causes and characteristics of vulnerability. In this paper, a vulnerability model construction method is proposed to realize the description of vulnerability attribute and the construction of a vulnerability model. A vulnerability model based on chemical abstract machine（CHAM） is constructed to realize the CHAM description of vulnerability model, and the framework of vulnerability model is also discussed. Case study is carried out to verify the feasibility and effectiveness of the proposed model. In addition, a prototype system is also designed and implemented based on the proposed vulnerability model. Experimental results show that the proposed model is more effective than other methods in the detection of software vulnerabilities.
