ID	原文	译文
1673	在污点汇聚点结合通知(advice)机制动态加载各类检测组件实现在运行时执行检测代码，从而应对 SQL 注入这类典型的针对 Web 应用程序的代码注入攻击方式。	The Advice mechanism is used to dynamically load the various detec-tion component implementations to execute the detection code at runtime to counter typical code injection attacks such asSQL injection against Web applications.
1674	实验表明，该方法能够在不修改应用程序执行引擎及源码的前提下实现自保护过程，有效防御重言式(tautologies)、逻辑错误查询(logically incorrect queries)、联合查询(union que-ry)、堆叠查询(piggy-backed queries)、存储过程(stored procedures)、推理查询(inference query)、编码转换(alternate en-codings)等 7 种典型的 SQL 注入攻击类型。	Experiments show that this method can realize the self-protection process without modifying the application execution engine and source code, so as to effectively defend against seven typical types of SQLinjection attacks such as tautologies, logically incorrect queries, union query, piggy-backed queries, stored procedures, infer-ence query, alternate encodings, and so on.
1675	针对差分隐私非交互式多属性关联的合成数据集发布问题，基于信息熵、汉明失真提出了发布数据集隐私度、数据效用、隐私泄露风险的量化方法。	Privacy leakage and utility measurement are widely concerned issues in multi-attribute datasets by non-in-teractive differential privacy publishing. In this paper, we have proposed several quantification methods by using information entropy and hamming distortion to quantify the privacy of published dataset, utility of dataset and risk of privacy leakage.
1676	首先，利用互信息量分析属性相关度，并以关联依赖图模型表达属性关联。	First, we have tailored the existing mutual information concept to analyze the relationship among associated attributes andconstructed an associated dependency graph model to analyze their correlations among multi-attribute.
1677	其次，基于图中关键隐私泄露路径构建马尔可夫隐私泄露链，并结合信息熵提出一种关联属性隐私度量模型及方法，可以有效的度量由关联属性引起的隐私泄露量。	After that, we have de-veloped a privacy quantification method based on information entropy and privacy leakage Markov chain, which is generated based on the graph of privacy leakage path that has a valid efficiency measurement of the privacy leakage leading by associ-ated attributes.
1678	最后，通过具体实例验证了模型与方法的有效性，并对比分析了该方法的优势。	Finally, to justify the efficiency of the proposed model, we have included an illustrative example and demon-strated the advantage of our method by comparing with other methods.
1679	在引航员登离船过程中，单一采取加速度阈值判断方法不能完整表征引航员登离船过程上升下降的信息，导致对登离船信息造成误判。	During the pilot＇s departure from the ship, the information of the ascending and descending of the pilot＇s de-parture from the ship could not fully rely on the single acceleration threshold judgement method, resulting in a erroneous judgement of the information.
1680	为此，提出一种基于人体姿态的双重信号滤波的引航员登离船监测算法。	For this reason, a dual signal filtering algorithm based on human posture had been proposed to monitor the departure ship.
1681	采集姿态传感器节点引航员姿态数据，进行卡尔曼滤波滤除部分测量噪声，估计出人体姿态状态;	The attitude sensor equipments had been collected for the attitude data, and the Kalman filter hasbeen used to filter out the noise, estimating the posture state of the human body.
1682	构造软件数字低通滤波器滤除重力加速度的影响;	A software digital low pass filter had been constructed to filter the influence of gravity acceleration.