用户身份认证技术在计算机信息安全中的应用

用户身份认证是安全的第一道大门,是各种安全措施可以发挥作用的前提。在计算机信息安全领域中,身份认证是一门重要课程。通过概述信息用户身份认证技术在学校数字校园网络中的应用,阐述了身份认证系统的设计目标,提出了身份认证系统要能以多种方式加以运用,然后对基于PHP的互联网身份认证系统的原理及实现进行了分析,对动态口令用户身份验证流程进行了研究。最后,对依托图片动态验证码实现身份认证和应用MD5算法实现身份验证方法进行了举例分析。     

基于网络环境下计算机文件信息安全的研究

计算机文件已经成为人们日常办公、学习的主要应用手段。如何加强计算机文件信息安全已经成为当前IT行业研究的趋势和热点。本文针对网络环境下计算机文件进行研究,首先描述了计算机文件信息安全的含义及意义;其次分析网络环境下影响计算机文件信息安全的因素;最后针对影响因素给出了相应的防范措施。     

Fine-Grained Multivariate Time Series Anomaly Detection in IoT

Sensors produce a large amount of multivariate time series data to record the states of Internet of Things (IoT) systems. Multivariate time series timestamp anomaly detection (TSAD) can identify timestamps of attacks and malfunctions. However, it is necessary to determine which sensor or indicator is abnormal to facilitate a more detailed diagnosis, a process referred to as fine-grained anomaly detection (FGAD). Although further FGAD can be extended based on TSAD methods, existing works do not provide a quantitative evaluation, and the performance is unknown. Therefore, to tackle the FGAD problem, this paper first verifies that the TSAD methods achieve low performance when applied to the FGAD task directly because of the excessive fusion of features and the ignoring of the relationship’s dynamic changes between indicators. Accordingly, this paper proposes a multivariate time series fine-grained anomaly detection (MFGAD) framework. To avoid excessive fusion of features, MFGAD constructs two sub-models to independently identify the abnormal timestamp and abnormal indicator instead of a single model and then combines the two kinds of abnormal results to detect the fine-grained anomaly. Based on this framework, an algorithm based on Graph Attention Neural Network (GAT) and Attention Convolutional Long-Short Term Memory (A-ConvLSTM) is proposed, in which GAT learns temporal features of multiple indicators to detect abnormal timestamps and A-ConvLSTM captures the dynamic relationship between indicators to identify abnormal indicators. Extensive simulations on a real-world dataset demonstrate that the proposed algorithm can achieve a higher F1 score and hit rate than the extension of existing TSAD methods with the benefit of two independent sub-models for timestamp and indicator detection.     

网络监察民警培训中教学质量提升途径的探索

在新形势新任务要求下,网络监察民察的培训存在很大的难度。本文首先介绍了网络监察民警培训的必要性,然后重点从培训课程体系、师资队伍建设、教学的方式方法和实训教学环节等方面进行了探讨,以确保培训教学质量的稳步提升。     

一种有效的移动IP自适应主动预测邻居切换机制

现有的移动IP切换机制存在切换时延大,分组易丢失,安全性差等问题。该文从移动IP切换的关键问题移动检测出发,提出并实现了一种有效的自适应主动预测邻居移动IP切换机制,运用主动自适应预测算法,根据网络和移动主机的运动状态动态智能地预测移动主机的切换,实现快速平滑切换。仿真结果表明,该策略与现有机制相比,极大地减少了切换时延和切换次数,保证分组按时到达,提高了系统的切换性能,保证了系统的QoS。      

论重点单位安全防控体系的“四化”建设

重点单位关联国计民生、国家和社会安全,面对当前多发的犯罪与事故,必须建立新的"全面化、立体化、规范化、实战化"的安全防控体系,才能确保重点单位的安全,保障工作秩序、生活秩序的有序进行。     

论警察的文学形象——公安文学叙事话语范式分析

公安文学作品中警察叙事的话语范式包括政治话语、日常话语、先锋话语、消费话语四种,它们各自表征着社会阐述我国警察的不同知识样式。但公安文学要健康发展并最终有利于中国警察的健康发展,必然要坚持对警察的正义姿态和英雄精神的叙述,也即必然要形成以政治话语范式为主导的警察叙事。     

一种新的频繁子树挖掘算法研究与实现

为提高频繁子树挖掘算法效率,结合原有频繁子树挖掘算法FSubtreeM的相关技术提出了新的全局树引导结构及其相关引理,并证明了其正确性.最后提出了新的频繁子树挖掘算法FSM_CGTG,并通过实验证明了该算法在现实数据集上的有效性且比现有频繁子树挖掘算法FSubtreeM性能优越.     

HNPG步态特征数据库管理系统设计与实现

为增强步态识别算法的评估和验证的可靠性,加速步态识别技术的实际应用进程,针对大量非结构化数据管理问题和当前小样本步态数据库的不足,采用面向对象的数据管理模型,基于平台化的总体思想,设计和实现了一个开放式的基础步态数据支撑平台.提出了包括数据规范、数据采集加工处理、数据管理模式、应用开发和设计等方面的系统解决方案.实践表明系统的数据采集规范、样本数量、步态数据清晰度、基础平台和开放性等指标都超过了同类型的数据库,系统具有较强的扩展性、安全性和可靠性,达到了预期目标.     

Avoidance of partial load operation at coal-fired power plants by storing nuclear power through power to gas

The need of fast regulation of electricity production leads to a number of inconveniences occurred to the electric generation system and the electric market, especially to the nuclear power. A new concept to control nuclear power production is posed in order to allow the regulation of the electricity sent to the grid. This concept proposes the joint operation of a nuclear power plant, a coal power plant with postcombustion capture and a methanation plant. The cost effectiveness of this technology and its capability to reduce the CO₂ emissions -consumed in the methanation process- are assessed through the design and economic and environmental analysis of a hybrid facility. Mainly due to the increase of the operating hours of the coal-fired power plant, the environmental feasibility of the initial proposal seems to be limited. However, given that benefits are expected in the medium and long-term (2020–2030) for the Power to Gas facility, a future alternative use is proposed. The target of this new alternative configuration will be the storage of CO₂ together with the storage of renewable energy.