Network security situational awareness method based on capability-opportunity-intent model

网络安全态势感知是提高安全管理员对网络整体安全状况掌控能力的重要技术手段。针对现有网络安全态势感知方法评估要素不够全面的问题,从攻击方、防护方、 网络环境三方面出发构建了网络安全态势感知的能力机会意图模型,引入不确定推理模型解决了安全态势要素间的不确定影响关系,给出了能力指数、机会指数和意 图指数的计算方法,并介绍了详细的网络安全态势感知方法。使用林肯实验室的公开数据集进行了实验,结果表明该方法评估要素更为全面,评估结果符合实际情况 。Network security awareness is an important technical mean to improve the network security control ability of network security administrators. In view of the problem that the assessment elements of current methods are not complete,this paper built a network situational awareness model which used the situation elements from attacker,defender and network environment. Then it introduced the uncertainty reasoning model to solve the uncertain impact between the security situation elements and presented the detailed computing methods of capability index,opportunity index and intent index. After that it introduced a network security situational awareness method. Finally,it used the public datasets of Lincoln laboratory to conduct experiments, the experiment results show that this method uses more comprehensive evaluation elements,and evaluate results are much more realistic to the actual situations

习水河鱼类资源现状与保护对策

基于2013 - 2017年野外调查数据,对习水河流域的鱼类组成、群聚结构和物种多样性等进行了分析。结果显示,习水河鱼类资源丰富,共分布有鱼类77种,隶属于5目18科57属,其中包括1种国家二级重点保护野生动物胭脂鱼( Myxocyprinus asiaticus) 、7种《中国脊椎动物红色名录》受威胁鱼类和16种长江上游特有鱼类。鱼类组成整体表现出以鲤形目鲤科占明显优势,鲇形目鲿科占较大比重的特点。鱼类群聚结构随河流梯度发生明显的变化,上中游以宽鳍鱲( Zacco platypus) 、白甲鱼( Onychostoma sima) 、中华倒刺鲃( Spinibarbus sinensis)和云南光唇鱼( Acrossocheilus yunnanensis)等喜急流性鱼类为主要优势种类,而下游合江县江段以瓦氏黄颡鱼( Pelteobagrus vachellii) 、大鳍鳠( Hemibagrus macropterus)和黄颡鱼( P. fulvidraco)等适应缓流或静水环境的鱼类为主要优势种类;鱼类物种多样性呈现出随河流梯度向下游延伸而逐渐增加的趋势。</p