Security mechanism detection is not only an important content of vulnerabilities evaluation but also the foundation of key strength test for wireless local area network （WLAN）. This paper analyzes the specifications...Security mechanism detection is not only an important content of vulnerabilities evaluation but also the foundation of key strength test for wireless local area network （WLAN）. This paper analyzes the specifications of WLAN security mechanisms and points out the defects in design of security mechanisms detection algorithm based on the standards. By capturing and analyzing a large number of Beacon frames from different vendor＇s access points （APs）, we summarize the relevant fields and information elements in a Beacon frame, and present their values or status when an AP is set to every specific security mechanism. A detection algorithm of WLAN security mechanisms is proposed based on the experimental study result and the pseudo code of a reference implementation for the algorithm is designed. The validity of the algorithm is illustrated by examples, which shows it can detect every WLAN security mechanism accurately.展开更多
文摘为优化本土酒酒球菌(Oenococcus oeni,O.oeni)高密度培养工艺条件,以分离自甘肃河西走廊产区的本土O.oeni ZX-1和WW-1为试验菌株,利用单因素试验结合Box-Behnken设计对菌株的培养条件进行优化。结果表明,酒酒球菌ZX-1的最佳培养条件:培养温度28℃,初始p H 5.06,碳源含量15.1 g/L;酒酒球菌WW-1的最佳培养条件:培养温度28℃,初始p H 5.08,碳源含量15.3 g/L。在最佳培养条件下,2株本土菌株发酵液活菌数均达到1.0×10^(9)CFU/mL,与模型预测值无显著差异(P>0.05)。综上,优化后的高密度培养工艺可有效提高本土O.oeni菌株ZX-1和WW-1的活菌数,对于制备高质量本土O.oeni直投式发酵剂具有重要意义。
基金Supported by the National Natural Science Foundation of China(51377122)
文摘Security mechanism detection is not only an important content of vulnerabilities evaluation but also the foundation of key strength test for wireless local area network （WLAN）. This paper analyzes the specifications of WLAN security mechanisms and points out the defects in design of security mechanisms detection algorithm based on the standards. By capturing and analyzing a large number of Beacon frames from different vendor＇s access points （APs）, we summarize the relevant fields and information elements in a Beacon frame, and present their values or status when an AP is set to every specific security mechanism. A detection algorithm of WLAN security mechanisms is proposed based on the experimental study result and the pseudo code of a reference implementation for the algorithm is designed. The validity of the algorithm is illustrated by examples, which shows it can detect every WLAN security mechanism accurately.
