Cationic surfactant-selective potentiometric sensors based on neutral ion-pair carrier complexes

Poly(vinyl chloride) (PVC) membrane electrodes to determine monomer concentrations of tetradecyltrimethylammonium ion (TTA⁺) and hexadecylpyridinium ion (HPy⁺) based on neutral ion-pair carrier complexes of tetradecyltrimethylammonium dodecyl sulfate (TTA⁺-DS⁻) and hexadecylpyridinium dodecyl sulfate (HPy⁺-DS⁻), respectively, are reported here. The electrodes exhibit a Nernstian slope of 59 mV per decade for TTA⁺ and a sub-Nernstian slope of 34.5 mV per decade for HPy⁺ ions. The TTA⁺ ion-selective electrode (ISE) and the HPy⁺-ISE can determine the monomer units down to concentrations as low as 4.0×10⁻⁴M and 1.66×10⁻⁵ M, respectively. The effect of various additives, such as the anionic polyelectrolyte sodium dextran sulfate and macrocyclic β-cyclodextrin, on the surface activity exhibited by the cationic surfactants TTA⁺-DS⁻ and HPy⁺-DS⁻, in the presence of background concentrations of NaCl was also examined with surfactant-selective sensors. The Gibbs free energy of micelle formation (ΔG _m ) of both surfactants in the presence of various additives was calculated and found to be less favorable with respect to an increase in the amount of additives due to less availability of cationic surfactant monomer units. The ion-pair complexes TTA⁺-DS⁻ and HPy⁺-DS⁻ were found to behave as selective carrier compounds in PVC membranes in determining the concentration of monomer units of both TTA⁺ and HPy⁺, respectively. The proposed sensors worked well at a fairly acidic pH of 1–6.5 with response time of 60 s. The sensors responded well to the surfactant ions even in the presence of additives at lower concentration. The lifetime of the sensors is 3 mon.     

聚合硫酸铁处理制革废水

本文研究了几种常用的国产混凝剂处理制革废水的效果，得出聚合硫酸铁是一种比较经济有效的混凝剂，配合ＰＡＭ助凝剂可以取得更好的效果。工艺上采用混凝气浮，可全部去除硫化物，出水总铬≤１ｍｇ／Ｌ，ＣＯＤ去除率可达７０％－８０％。     

复分解四步循环法制取硫酸钾新工艺

介绍了制取硫酸钾的一种新工艺－－复分解四步循环法，即氯化钾与硫酸铵反应生成硫酸钾铵与氯化铵钾，硫酸钾铵再与氯化钾溶液反应生成硫酸钾，氯化铵钾再与硫酸铵溶液反应生成氯化铵。整个工艺全封闭循环生产，产品硫酸钾K2O质量分数≥50％，钾收率达92％。     

滴加法制备铁黄颜料工艺研究

采用滴加法制备铁黄颜料，即采用硫铁矿烧渣直接制得的硫酸亚铁及硫酸亚铁结晶母液为原料。用空气作氧化剂，用氨水作沉淀剂制品种；在二步氧化中滴加氨水和硫酸亚铁结晶母液。探讨了亚铁浓度、空气流量等对晶种形成的影响，以及晶种比、空气流量、溶液pH、硫酸铵浓度等因素对铁黄生成的影响。确定了晶种制备和二步氧化的最佳工艺条件，即二步氧化中溶液pH控制在2．5～3．5，亚铁浓度控制在0．18～0．25mol／L的范围。检测结果表明：铁黄各项指标均达到原化工部HG／T2249--1991一级品标准。     

没食子酸异戊酯的合成研究

以壳聚糖硫酸盐为催化剂，用没食子酸与异戊酸直接酯化合成了没食子酸异戊酯，用正交试验确定了酸酸物质的量比、催化剂用量、反应时间对没食子酸异戊酯收率的影响。得到了最佳工艺条件：醇酸物质的量比为10：1，催化剂用量为1．0g，反应时间为4h，没食子酸异戊酯的收率可达96．2％。实验表明，该催化剂用于合成没食子酸异戊酯具有极好的催化活性和重复使用性。     

铬酸酐副产物硫酸氢钠的利用

对生产铬酸酐时副产的含铬硫酸氢钠的利用作了评论，介绍了8种方法，即，化学沉淀法、磷酸沉淀法、铬酸铬法、电解氧化法、过硫酸钠氧化法、制商品硫酸氢钠、酸泥制碱式硫酸铬、硫酸氢钠制碱式硫酸铬，其中以化学沉淀法、磷酸沉淀法和铬酸铬法应用最广。     

Data-mining based SQL injection attack detection using internal query trees

Detecting SQL injection attacks (SQLIAs) is becoming increasingly important in database-driven web sites. Until now, most of the studies on SQLIA detection have focused on the structured query language (SQL) structure at the application level. Unfortunately, this approach inevitably fails to detect those attacks that use already stored procedure and data within the database system. In this paper, we propose a framework to detect SQLIAs at database level by using SVM classification and various kernel functions. The key issue of SQLIA detection framework is how to represent the internal query tree collected from database log suitable for SVM classification algorithm in order to acquire good performance in detecting SQLIAs. To solve the issue, we first propose a novel method to convert the query tree into an n-dimensional feature vector by using a multi-dimensional sequence as an intermediate representation. The reason that it is difficult to directly convert the query tree into an n-dimensional feature vector is the complexity and variability of the query tree structure. Second, we propose a method to extract the syntactic features, as well as the semantic features when generating feature vector. Third, we propose a method to transform string feature values into numeric feature values, combining multiple statistical models. The combined model maps one string value to one numeric value by containing the multiple characteristic of each string value. In order to demonstrate the feasibility of our proposals in practical environments, we implement the SQLIA detection system based on PostgreSQL, a popular open source database system, and we perform experiments. The experimental results using the internal query trees of PostgreSQL validate that our proposal is effective in detecting SQLIAs, with at least 99.6% of the probability that the probability for malicious queries to be correctly predicted as SQLIA is greater than the probability for normal queries to be incorrectly predicted as SQLIA. Finally, we perform additional experiments to compare our proposal with syntax-focused feature extraction and single statistical model based on feature transformation. The experimental results show that our proposal significantly increases the probability of correctly detecting SQLIAs for various SQL statements, when compared to the previous methods.     

基于FPGA实现AES的侧信道碰撞攻击

为了解决攻击点在能量迹中具体位置的识别问题,在对侧信道碰撞攻击技术研究的基础上,提出了通过计算能量迹中每个采样点的方差来识别攻击点的方差检查技术。并利用基于相关系数的碰撞检测方法,对一种AES的FPGA实现实施了攻击。实验结果表明,方差检查技术可以有效地识别攻击点在能量迹中的具体位置。     

A genetic tango attack against the David–Prasad RFID ultra‐lightweight authentication protocol

Radio frequency identification (RFID) is a powerful technology that enables wireless information storage and control in an economical way. These properties have generated a wide range of applications in different areas. Due to economic and technological constrains, RFID devices are seriously limited, having small or even tiny computational capabilities. This issue is particularly challenging from the security point of view. Security protocols in RFID environments have to deal with strong computational limitations, and classical protocols cannot be used in this context. There have been several attempts to overcome these limitations in the form of new lightweight security protocols designed to be used in very constrained (sometimes called ultra‐lightweight) RFID environments. One of these proposals is the David–Prasad ultra‐lightweight authentication protocol. This protocol was successfully attacked using a cryptanalysis technique named Tango attack. The capacity of the attack depends on a set of boolean approximations. In this paper, we present an enhanced version of the Tango attack, named Genetic Tango attack, that uses Genetic Programming to design those approximations, easing the generation of automatic cryptanalysis and improving its power compared to a manually designed attack. Experimental results are given to illustrate the effectiveness of this new attack.     

硫酸软骨素生产工艺的优化

以鸡胸软骨为原料,采用稀碱和酶解相结合的方法提取硫酸软骨素.综合考察各种影响因素,设计了正交实验,得出最佳工艺条件.通过该优化条件,产量可以达到21%,与原来的工艺相比,提高了3%～4%,纯度可以达到80%.