文章阐述了基于Arch Linux的渗透测试系统的实现过程。该系统应用了前沿的Linux技术栈与特性,并对命令行接口(command line interface,CLI)功能进行了针对性的增强。此外,此系统针对常见渗透测试场景进行了内核调优,并安全实现了遵循零...文章阐述了基于Arch Linux的渗透测试系统的实现过程。该系统应用了前沿的Linux技术栈与特性,并对命令行接口(command line interface,CLI)功能进行了针对性的增强。此外,此系统针对常见渗透测试场景进行了内核调优,并安全实现了遵循零信任与最小安装原则,能够在较大程度上避免N-day漏洞对系统安全造成的威胁。与市面主流的渗透测试系统相比,系统在性能与安全性评估分析中展现出了优异的基础性能与安全性,能够有效地支持渗透测试相关人员进行安全评估工作。研究成果对于增强我国的信息安全、网络安全水平有一定的实际意义。展开更多
荔枝是华南地区最具特色的水果之一,目前我国荔枝栽培面积约53万hm^(2),产量230万t。荔枝花序呈聚伞花序圆锥状排列,分枝数量过多会消耗树体大量营养,影响荔枝坐果。SUPPRESSOR OF MAX21-LIKE 7(SMXL7)是独脚金内酯信号途径的重要组分,...荔枝是华南地区最具特色的水果之一,目前我国荔枝栽培面积约53万hm^(2),产量230万t。荔枝花序呈聚伞花序圆锥状排列,分枝数量过多会消耗树体大量营养,影响荔枝坐果。SUPPRESSOR OF MAX21-LIKE 7(SMXL7)是独脚金内酯信号途径的重要组分,是具有抑制子和转录因子双重功能的新型抑制子,参与调控植物的分枝发育。为了鉴定荔枝花穗分枝发育的调控基因,本研究以‘妃子笑/怀枝’砧穗组合荔枝结果树花穗为试材,利用RNA-seq数据克隆荔枝SMXL7基因家族成员LcSMXL7,并对其基因序列、理化性质、保守结构域、进化关系、组织表达特异性,基因功能及亚细胞定位进行分析。分析结果显示,该基因ORF全长3408 bp,编码1135个氨基酸;编码蛋白含有2个Clp结构域和1个AAA_2结构域;在茎、种子和叶片中表达较高,在花穗、雄花和果皮中表达次之,而在雌花、果肉和根中的表达最低;LcSMXL7的分子式为C_(5429)H_(8632)N_(1530)O_(1715)S_(38),理论相对分子质量(Mw)为123.99 kDa,理论等电点(pI)约为5.96,蛋白脂溶指数为83.74,蛋白不稳定指数为46.38,亲水性平均系数为-0.305,与来自木本果树甜橙和杧果的SMXL7蛋白的关系较近,亚细胞定位在细胞核;在拟南芥中过表达LcSMXL7可显著提高拟南芥的分枝数量。推测LcSMXL7可作为转录因子参与基因表达调控,该研究为进一步探索LcSMXL7调控荔枝花穗发育的分子机制奠定了基础。展开更多
The virtuality and openness of online social platforms make networks a hotbed for the rapid propagation of various rumors.In order to block the outbreak of rumor,one of the most effective containment measures is sprea...The virtuality and openness of online social platforms make networks a hotbed for the rapid propagation of various rumors.In order to block the outbreak of rumor,one of the most effective containment measures is spreading positive information to counterbalance the diffusion of rumor.The spreading mechanism of rumors and effective suppression strategies are significant and challenging research issues.Firstly,in order to simulate the dissemination of multiple types of information,we propose a competitive linear threshold model with state transition(CLTST)to describe the spreading process of rumor and anti-rumor in the same network.Subsequently,we put forward a community-based rumor blocking(CRB)algorithm based on influence maximization theory in social networks.Its crucial step is to identify a set of influential seeds that propagate anti-rumor information to other nodes,which includes community detection,selection of candidate anti-rumor seeds and generation of anti-rumor seed set.Under the CLTST model,the CRB algorithm has been compared with six state-of-the-art algorithms on nine online social networks to verify the performance.Experimental results show that the proposed model can better reflect the process of rumor propagation,and review the propagation mechanism of rumor and anti-rumor in online social networks.Moreover,the proposed CRB algorithm has better performance in weakening the rumor dissemination ability,which can select anti-rumor seeds in networks more accurately and achieve better performance in influence spread,sensitivity analysis,seeds distribution and running time.展开更多
文摘文章阐述了基于Arch Linux的渗透测试系统的实现过程。该系统应用了前沿的Linux技术栈与特性,并对命令行接口(command line interface,CLI)功能进行了针对性的增强。此外,此系统针对常见渗透测试场景进行了内核调优,并安全实现了遵循零信任与最小安装原则,能够在较大程度上避免N-day漏洞对系统安全造成的威胁。与市面主流的渗透测试系统相比,系统在性能与安全性评估分析中展现出了优异的基础性能与安全性,能够有效地支持渗透测试相关人员进行安全评估工作。研究成果对于增强我国的信息安全、网络安全水平有一定的实际意义。
基金supported by the National Social Science Fund of China (Grant No.23BGL270)。
文摘The virtuality and openness of online social platforms make networks a hotbed for the rapid propagation of various rumors.In order to block the outbreak of rumor,one of the most effective containment measures is spreading positive information to counterbalance the diffusion of rumor.The spreading mechanism of rumors and effective suppression strategies are significant and challenging research issues.Firstly,in order to simulate the dissemination of multiple types of information,we propose a competitive linear threshold model with state transition(CLTST)to describe the spreading process of rumor and anti-rumor in the same network.Subsequently,we put forward a community-based rumor blocking(CRB)algorithm based on influence maximization theory in social networks.Its crucial step is to identify a set of influential seeds that propagate anti-rumor information to other nodes,which includes community detection,selection of candidate anti-rumor seeds and generation of anti-rumor seed set.Under the CLTST model,the CRB algorithm has been compared with six state-of-the-art algorithms on nine online social networks to verify the performance.Experimental results show that the proposed model can better reflect the process of rumor propagation,and review the propagation mechanism of rumor and anti-rumor in online social networks.Moreover,the proposed CRB algorithm has better performance in weakening the rumor dissemination ability,which can select anti-rumor seeds in networks more accurately and achieve better performance in influence spread,sensitivity analysis,seeds distribution and running time.
