Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and improve overall organisational security. An organisation’s vulnerabilities to attacks might change over time. It is utterly important to find a balance among a current threat, the potential countermeasures, their consequences and costs, and the estimation of the overall risk that this provides to the organisation. For enhancing organisational security and automation, applying threat intelligence technology is critical for detecting, classifying, analysing, and sharing new cyberattack tactics. Trusted partner organisations can then share newly identified threats to improve their defensive capabilities against unknown attacks. On this basis, organisations can help reduce the risk of a cyberattack by providing access to past and current cybersecurity events through blockchain smart contracts and the Interplanetary File System (IPFS). The suggested combination of technologies can make organisational systems more reliable and secure, improving system automation and data quality. This paper outlines a privacy-preserving mechanism for threat information sharing in a trusted way. It proposes a reliable and secure architecture for data automation, quality, and traceability based on the Hyperledger Fabric private-permissioned distributed ledger technology and the MITRE ATT&CK threat intelligence framework. This methodology can also be applied to combat intellectual property theft and industrial espionage.     

基于PLC电子技术的智能车库管理系统设计

本文即综合分析了国内智能车库管理系统理论研究成果,尝试基于PLC电子技术设计智能车库管理系统,按照总体设计思路、硬件配置、软件设计、仿真检测的研究步骤详细论述了基于PLC自动化电子技术的智能车库管理系统设计思路及功能实现过程.     

高校计算机实验室管理与维护探讨

高校计算机实验室是保障高校教育信息化建设的关键所在,所以高校计算机实验室的管理与维护尤为重要.基于此,文章针对高校计算机实验室的管理与维护展开深入研究,探索计算机实验室管理与维护的必要性,分析目前我国多数高校计算机实验室管理工作中普遍存在的问题.然后以解决这些问题,实现对计算机实验室的有效管理和维护为目的,分别为其提供...     

Grain and Leaf Anthocyanin Concentration Varies among Purple Rice Varieties and Growing Condition in Aerated and Flooded Soil

Anthocyanins are a group of pigments responsible for the red-blue color in plant parts, and have potential for health benefits and pharmaceutical ingredients. To evaluate whether anthocyanin concentrations in five purple rice varieties could be varied by water condition, plants were grown in waterlogged and aerobic (well-drained) soil. Grain anthocyanin concentration and grain yield were measured at maturity, while leaf anthocyanin concentrations were measured at booting and flowering stages. Four varieties grown under the waterlogged condition had 2.0–5.5 times higher grain anthocyanin than in the aerobic condition. There was a positive relationship between grain and leaf anthocyanin at booting in the waterlogged condition (r = 0.90, p < 0.05), while grain and leaf anthocyanin were positively correlated at flowering in both the waterlogged (r = 0.88, p < 0.05) and aerobic (r = 0.97, p < 0.01) conditions. The results suggest that water management should be adopted as a practical agronomic tool for improving the anthocyanin concentration of purple rice for specialist markets, but the specific responses between rice varieties to water management should be carefully considered.     

一种电磁频谱管理盲监测技术

复杂电磁环境下对无线电信号进行监测时,基于时频分析的传统监测方式对频谱混叠信号难以进行识别．针对这一问题,提出了一种电磁频谱管理盲监测技术．在分析研究了盲源分离的理论基础上建立了基于最大信噪比算法的盲监测模型,基于该模型仿真实现了6路频谱混叠无线电信号的分离提取．仿真结果表明：应用所建立的模型能够实现频谱混叠无线电信号的监测分析,判明所监测无线电设备的工作频率、信号形式和带宽等主要特征．     

基于短波测量数据的信道模型聚类方法

提出了一种使用减法聚类有效分类离散随机信道参数的方法．在青岛北京链路的信道测量数据基础上,使用该方法将短波信道测量计算出的信道参数分别进行一维和多维聚合分类,得到在特定链路、时间上,某频率对应的典型信道参数和信道模型,为短波频谱管理中的频率打分提供精确量化依据．     

基于频谱资源描述的动态频率管理方法

以频率资源的可用状态为基础,探讨了一种新的动态频率管理方法.为了清晰描述频率资源状态,设计了频率指配表和可用频率表,分别表征频率受内外部环境的影响,还设计了根据变化的用频需求和无线信道状态对频率进行动态配置的机制.仿真结果表明,采用动态频率管理有效消解了系统内频率互扰,提高了频率资源利用率.     

土中爆炸成腔问题中确定炸点状态的一种计算反求方法

提出了一种通过给定的土中爆炸成腔毁伤效应确定炸点状态的计算反求方法。该方法将确定炸点状态的反问题转化为求解爆炸毁伤效应的计算值与给定值误差函数最小的优化问题。在反求过程中,采用基于误差减小比率技术的多项式近似模型代替土中爆炸数值分析模型,以便提高反求效率。采用Tikhonov正则化方法克服反求过程中出现的病态问题。在此基础上,引入信赖域管理策略判断当前近似模型与实际模型的逼近程度,以确定最优的反求向量。炸点状态反求结果与实验结果的对比分析表明,该方法能够有效且稳定地通过给定的毁伤效应实现炸点状态的反求,这可为炸点状态的设计提供参考。     

一种用于雷达资源管理的目标雷达截面积预测算法

在管理与优化雷达有限资源的应用中,目标的雷达截面积的起伏会对资源分配后的效果产生巨大的影响。针对该问题,该文提出一种对目标的雷达截面积进行预测的方法。该方法首先对回波进行处理以获取目标雷达截面积的测量值,进而通过概率密度转移的方法对目标在下一个时刻的雷达截面积进行预测。通过对来自3种飞机的雷达实测数据的计算,验证了该预测方法能够得到较为准确的预测值。最后,建立功率分配的优化方程,并通过仿真验证了对雷达截面积准确的预测能够提高功率分配后的测量精度。     

Role of Natural Compounds and Target Enzymes in the Treatment of Alzheimer’s Disease

Alzheimer’s disease (AD) is a progressive neurological condition. The rising prevalence of AD necessitates the rapid development of efficient therapy options. Despite substantial study, only a few medications are capable of delaying the disease. Several substances with pharmacological activity, derived from plants, have been shown to have positive benefits for the treatment of AD by targeting various enzymes, such as acetylcholinesterase (AChE), butyrylcholinesterase (BuChE), β-secretase, γ-secretase, and monoamine oxidases (MAOs), which are discussed as potential targets. Medicinal plants have already contributed a number of lead molecules to medicine development, with many of them currently undergoing clinical trials. A variety of medicinal plants have been shown to diminish the degenerative symptoms associated with AD, either in their raw form or as isolated compounds. The aim of this review was to provide a brief summary of AD and its current therapies, followed by a discussion of the natural compounds examined as therapeutic agents and the processes underlying the positive effects, particularly the management of AD.