Energy-efficient and high-accuracy secure data aggregation in wireless sensor networks

Due to the inherent characteristics of resource-constrained sensors, communication overhead is always a major concern in wireless sensor networks (WSNs). Data aggregation is an essential technique to reduce the communication overhead and prolong network lifetime. Since data aggregation results are usually used to make critical decisions, the accuracy of final aggregation results is very important. Furthermore, as wireless sensor networks are increasing being deployed in security-critical applications, we should take security into consideration as well. Therefore, for such applications, data aggregation protocols must be highly energy efficient and highly accurate while being able to prevent an adversary from stealing private data held by each sensor node. In this paper, we propose an energy-efficient and high-accuracy (EEHA) scheme for secure data aggregation. The main idea of our scheme is that accurate data aggregation is achieved without releasing private sensor readings and without introducing significant overhead on the battery-limited sensors. We conduct extensive simulations to evaluate the performance of EEHA. Our analysis and simulations show that EEHA is more efficient and accurate than the existing scheme.     

状态观测器的约束与聚集

提出线性时变离散随机系统状态观测器的包含问题。根据系统状态、输入和输出的包合，研究并给出一般情况下状态观测器及其性能指标包含的约束与聚集两类特殊条件，讨论了Ｋａｌｍａｎ滤波形式最优估计器的收缩条件。     

入侵检测系统报警聚合关联研究

针对现有入侵检测系统有产生的报警信息的重复率高、漏报高等问题,文中提出一种报警信息处理模型,该模型采用基于分类的属性相似度报警聚合,能更好的消除重复报警;引进的漏报算法,一定程度解决了现有报警关联如因果关联和序列关联应报警漏报而导致关联失败的问题,提高入侵检测系统的检准率。最终让管理员更加能够快速准确的判断攻击类型,并做相应处理。最后用darpa2000数据集测试实现的相应的算法。     

Modelling and forecasting tourism from East Asia to Thailand under temporal and spatial aggregation

Tourism is one of the key service industries in Thailand, with a 5.27% share of Gross Domestic Product in 2003. Since 2000, international tourist arrivals, particularly those from East Asia, to Thailand have been on a continuous upward trend. Tourism forecasts can be made based on previous observations, so that historical analysis of tourist arrivals can provide a useful understanding of inbound trips and the behaviour of trends in foreign tourist arrivals to Thailand. As tourism is seasonal, a good forecast is required for stakeholders in the industry to manage risk. Previous research on tourism forecasts has typically been based on annual and monthly data analysis, while few past empirical tourism studies using the Box–Jenkins approach have taken account of pre-testing for seasonal unit roots based on Franses [P.H. Franses, Seasonality, nonstationarity and the forecasting of monthly time series, International Journal of Forecasting 7 (1991) 199–208] and Beaulieu and Miron [J.J. Beaulieu, J.A. Miron, Seasonal unit roots in aggregate U.S. data, Journal of Econometrics 55 (1993) 305–328] framework. An analysis of the time series of tourism demand, specifically monthly tourist arrivals from six major countries in East Asia to Thailand, from January 1971 to December 2005 is examined. This paper analyses stationary and non-stationary tourist arrivals series by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting. Various Box–Jenkins autoregressive integrated moving average (ARIMA) models and seasonal ARIMA models are estimated, with the tourist arrivals series showing seasonal patterns. The fitted ARIMA and seasonal ARIMA models forecast tourist arrivals from East Asia very well for the period 2006(1)–2008(1). Total monthly and annual forecasts can be obtained through temporal and spatial aggregation.     

传感器网络中可扩展性好的数据汇聚与认证协议

无线传感器网络的能量资源有限,数据汇聚是减少能耗最重要的技术之一,但数据汇聚可能导致信息泄露。文章提出了一种名为SSDAA的可扩展性好的安全的数据汇聚和认证协议。将采集的数据映射成无物理意义的模式码,根据模式码进行数据汇聚,再将被选中的采集数据以加密形式传输,保证了数据的机密性;采用本地逐步公布用于认证的!TESLA密钥,认证不必等到汇聚完成,使网络时延小,适应于大规模网络;采用延迟汇聚和延迟认证,保证了数据的完整性和真实性;采用!TESLA密钥链保证了数据的鲜活性。SSDDA可以抵御植入节点攻击和重放攻击,可部分解决妥协节点攻击。     

无线传感器网络中一种安全的数据汇聚与认证协议

无线传感器网络的能量资源有限,用数据汇聚来最小化传输量是减少能耗的最重要的技术之一,但数据汇聚也带来了信息泄露的风险。提出了一种名为SEDAA的安全节能的数据汇聚和认证协议。将采集的数据映射成无物理意义的模式码,根据模式码进行数据汇聚,再将被选中的采集数据以加密形式传输,保证了数据的机密性;利用会话密钥进行延迟汇聚和延迟认证,保证了传感器节点数据的完整性和真实性;采用!TESLA协议对基站消息进行认证;采用计数器生成会话密钥保证了数据的鲜活性。SEDAA可以抵御植入节点攻击和重放攻击,可部分解决妥协节点攻击。     

无线传感器网络中信息融合若干关键技术的调研

无线传感器网络技术已成为当前研究热点,在对国内外研究现状调研基础上,提出了本项目需解研究的主要内容及研究方案,并对研究方案进行了可行性分析.     

面向智能电网通信系统的数据聚合和访问控制方法

安全的通信架构是保证智能电网安全、稳定运行的基础,隐私保护的数据聚合是保证机密性、提高效率的有效途径。提出了一种面向智能电网通信系统的数据聚合和访问控制方法。在聚合阶段,采用隐私同态聚合多维数据,尤其提供签名批验证,使得对计算的个数与聚合的签名数无关,保持为常量3;在反馈阶段,采用基于属性的加密方法,实现了一对多的通信,同时也实现了对用户区分的访问控制,只有满足相应属性要求的用户才能获得操作命令。安全性分析证明,该方案具有隐私保护、资源认证和完整性验证的功能;通过与相关方案比较,所述方案在计算开销和用户的访问控制方面更有优势,更适合智能电网多维数据收集和访问控制。     

面向需求响应应用的空调负荷建模及控制

空调负荷是一种优良的需求响应资源,对空调的合理调控能够有效缓解供需不平衡,提高电力系统综合运营效率,实现资源优化配置,但这需要建立在对空调负荷运行特性基础理论的深刻理解基础上。文中从空调系统热力学建模、聚合模型、控制模式、调控策略四个角度,讨论了空调负荷在需求响应中的研究现状,并针对目前国内外空调负荷研究的实际情况,对空调负荷进一步的研究方向进行了展望。     

新型抗菌剂氨基酸型表面活性剂的研究进展（续完）

<正>1.3双链表面活性剂1.3.3双子表面活性剂双子表面活性剂是利用化学法,通过刚性或柔性的间隔链将2个单链表面活性剂在其头基或靠近头基的位置键合的一种化合物。由于每个分子含烃量大,其cmc比相应的单链表面活性剂低1个数量级,而且这类表面活性剂对水的表面张力和界面张力的降低能力是传统表面活性剂的10倍甚至100倍。1.3.3.1胱氨酸阳离子表面活性剂胱氨酸是一种合成双子表面活性剂的新型材料,Pinazo