Information Security Management Measures for College Archives Under the Network Environment

The construction of archives in colleges and universities in China is in the process of development and improvement.With the development information technology,the informatization of college archives has been accelerated.Network technology is developing rapidly in our country,and the number of network users has increased significantly.The use of network technology in university archives management can improve the management efficiency and quality of archives,but the safety factor has dropped significantly.For example,the archival system may face many problems such as virus infection,system paralysis,or cyberattacks,which affects the security of the university archives.Therefore,this paper presents an analysis of these problems in detail,and proposes corresponding solutions,so as to optimize and improve the information security management of college archives.

A Predictive 6G Network with Environment Sensing Enhancement:From Radio Wave Propagation Perspective

In order to support the future digital society,sixth generation(6G)network faces the challenge to work efficiently and flexibly in a wider range of scenarios.The traditional way of system design is to sequentially get the electromagnetic wave propagation model of typical scenarios firstly and then do the network design by simulation offline,which obviously leads to a 6G network lacking of adaptation to dynamic environments.Recently,with the aid of sensing enhancement,more environment information can be obtained.Based on this,from radio wave propagation perspective,we propose a predictive 6G network with environment sensing enhancement,the electromagnetic wave propagation characteristics prediction enabled network(EWave Net),to further release the potential of 6G.To this end,a prediction plane is created to sense,predict and utilize the physical environment information in EWave Net to realize the electromagnetic wave propagation characteristics prediction timely.A two-level closed feedback workflow is also designed to enhance the sensing and prediction ability for EWave Net.Several promising application cases of EWave Net are analyzed and the open issues to achieve this goal are addressed finally.

SUNDER:Self-organized grouping and entrapping method for swarms in multitarget environments

For swarm robots moving in a harsh or uncharted outdoor environment without GPS guidance and global communication,algorithms that rely on global-based information are infeasible.Typically,traditional gene regulatory networks(GRNs)that achieve superior performance in forming trapping pattern towards targets require accurate global positional information to guide swarm robots.This article presents a gene regulatory network with Self-organized grouping and entrapping method for swarms(SUNDER-GRN)to achieve adequate trapping performance with a large-scale swarm in a confined multitarget environment with access to only local information.A hierarchical self-organized grouping method(HSG)is proposed to structure subswarms in a distributed way.In addition,a modified distributed controller,with a relative coordinate system that is established to relieve the need for global information,is leveraged to facilitate subswarms entrapment toward different targets,thus improving the global multi-target entrapping performance.The results demonstrate the superiority of SUNDERGRN in the performance of structuring subswarms and entrapping 10 targets with 200 robots in an environment confined by obstacles and with only local information accessible.

Developing a Comprehensive Regime for Personal Information Protection in Networked Chinese Public Sectors

With the increasing sharing and reuse of personal information resources for better public services, the effective protection and management of personal information as organizational and individual assets as well as social resources are becoming more and more important in networked Chinese public sectors. Existing studies of personal information protection in China is mainly conducted from the legal perspective with a focus on the development of appropriate legislation and policies at the national level. There is little research on how specific legislation and polices can actually be implemented in an effective manner and what impacts such legislation and policies have on individuals, organizations, and the society. To adequately address this issue, this study investigates the legal requirements for personal information protection based on the relevant laws, regulations, and standards in China. It proposes a comprehensive regime for personal information protection in the networked public sectors in China. Such a regime takes the advantages of existing discipline-based approaches, legal requirements, and control mechanisms for personal information protection. It can be used to facilitate the provision of public services in the networked Chinese public sectors through the adequate protection of personal information and the effective management of personal information.

董事网络能促进企业数字化转型吗?——基于独立董事网络中心度的考查

本文基于镶嵌理论和声誉理论,以2007—2020年沪深A股上市公司为样本,研究独立董事所处网络中心度对所任职企业数字化转型的影响。研究发现,独立董事所处的网络中心度越高,企业数字化转型的程度越大,说明董事网络显著促进了企业数字化转型。经稳健性检验后,该结论仍然成立。机制检验表明,独立董事网络中心度通过降低代理成本、缓解融资约束推动企业数字化转型进程。进一步研究发现,对于制度环境较差地区的企业、信息透明度较高的企业以及民营企业,独立董事网络中心度对企业数字化转型的推动作用更显著。研究结论对于如何推动数字经济与实体企业深度融合,实现企业高质量发展有重要的参考价值。

Remote monitoring system for livestock environmental information based on LoRa wireless ad hoc network technology

The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals.To target the characteristics of long application cycles and large coverage areas for environmental monitoring in large-scale livestock breeding,the current study designed a remote monitoring system to provide livestock environmental information based on LoRa wireless ad hoc network technology.The system consisted of collection terminals,control terminals,LoRa gateways,and Alibaba Elastic Compute Service.It realized real-time collection,wireless transmission,storage of multi-sensor node data,and remote control.The system was not limited by the selected time or region,because data interaction was achieved by accessing cloud servers using GPRS technology.Users could browse and obtain data from computers and a WeChat mini program from any location with network coverage.Additionally,the system used the improved receiver-based auto rate(RBAR)rate-adaptive algorithm in the LoRa wireless communication component.After application on a dairy farm,the results showed that the whole system collected 6140 sets of environmental data from four dairy houses.The packet loss rate was less than 1%within a communication distance of 604 m,and the communication success rate was greater than 99%.The control instructions were real-time and accurate,and the response time was less than 10 s,which met the remote control needs of large farms.The system provided powerful data and technical support for precision animal production.

Monitoring System for Field Soil Water Content Based on the Wireless Sensor Network

[Objective] To water content monitoring study the application of wireless sensor network in field so and to discuss the methods for solving the problems of low sampling rate, high cost and poor real-time in actual monitoring. [Method] The architecture of wireless sensor network, network nodes, hardware design as well as principle for the program structure of software operating system and corresponding parameters were analyzed to illustrate the characteristics of monitoring system for field soil water content based on wireless sensor network, and the advantages in application of this system. [Result] Sensor nodes could correctly collect and transmit soil water content, realize stable data transmission of soil water content, indicating that wireless sensor network is suitable for real-time monitoring of field soil water content. [Conclusion] This study indicates that wireless sensor network possesses a widely application foreground in the development of agriculture.

2023年网络安全热点技术领域全景扫描

网络安全离不开防火墙、通信加密和身份识别等技术的支撑,而网络安全技术的每一次迭代升级,都可能因技术优势易手而引起全球网络格局的重新洗牌。正因如此,近年来各国都在积极开发和运用与网络安全有关的新兴技术,以利用先进的网络技术来为军事、经济和舆论等领域的竞争提供助力。对此,分别阐述了人工智能、零信任、云环境、太空网络和量子信息技术这5个网络安全热点技术领域在2023年的发展态势,并分析研判了新兴技术在网络安全应用领域的未来趋势。

基于互联网的信息技术基础课程教学实践

阐述通过对信息技术基础课程教学实践的分析,探讨网络教学方法在信息技术基础课程教学中的应用,包括网络课件的设计与制作、在线学习平台的应用、远程实验的实施。

南部非洲地学信息服务网的设计与实现

开展境外矿产资源的勘查与开发利用是经济全球化形势下参与全球资源配置的重要举措。南部非洲地区具有丰富的矿产资源禀赋,是“一带一路”沿线的重要节点。为支撑服务中资矿业企业在南部非洲地区开展矿产资源勘查开发活动,研发并上线了南部非洲地学信息服务网,实现了南部非洲矿业投资环境和基础地学数据的集成与共享。该服务网兼顾实用性与扩展性,从功能实现的角度进行开发,采用SOA面向服务构架,基于WebService技术构建了分布式地理信息共享与应用开发环境,运用python信息自动爬虫技术和多源异构数据集成技术,开发了浏览和查询、投资环境一张图、投资环境评价、借阅服务、运维管理等五个模块,集成了南部非洲地区自然地理、基础设施建设、社会文化与教育、政治环境与安全、矿业经济及主要矿产资源潜力等信息,实现了空间数据与非结构化数据的共享、发布与浏览,可为南部非洲25个国家矿业投资提供一站式信息服务,精准支撑中资矿业企业“走出去”与投资合作。

“把关人”视域下网络拟态环境的多元建构力量探析

网络拟态环境的建构主体是机构媒体及其衍生的自媒体、个人自媒体、政务新媒体等,“信息把关”则是其建构的必备环节。具体来讲,机构媒体严守内容把关,以构建和谐正面的网络虚拟图景为主;自媒体的内容把关主要基于微观叙事、个人爱好、个体生活场景、个人情感和个体认知,具有明显的表演性,是建构网络虚拟图景的非专业抗衡力量;政务新媒体主要基于政务机构信息传播的把关,建构新媒体传播环境下的政务图景。

非正式组织视角下煤矿工人不安全行为形成路径研究

为了探究非正式组织视角下煤矿工人不安全行为的形成路径,找寻影响煤矿工人不安全行为的因素,在现有研究基础上,提出组织环境和社会网络关系对煤矿工人不安全行为具有导向性的假设,通过编制量表、发放问卷的方式收集数据资料,运用SPSS分析软件、AMOS建模工具进行数据处理和模型拟合,确定了煤矿工人不安全行为的形成路径。结果表明:组织环境和社会网络直接或间接作用于煤矿工人不安全行为;不安全行为形成有2条主路径,分别是组织影响→不安全监督→不安全行为前提条件→煤矿工人不安全行为、关联程度→依赖关系→煤矿工人不安全行为;通过对改善的组织环境和行为监管社会网络关系,提升煤矿工人非正式组织氛围,可以有效减少煤矿工人不安全行为的发生,为煤矿企业管理决策提供新思路。

美军任务伙伴环境(MPE)发展研究

“任务伙伴环境”(mission partner environment,MPE)是美国防部与任务伙伴共同开展军事任务指挥控制与信息共享的作战框架。研究了美军MPE概念内涵、发展背景,梳理了MPE的类型与支持的行动级别,全面分析了MPE组成架构;重点研究了MPE的核心——多国信息共享(multinational information sharing,MNIS)体系,分析了MNIS的主要组成部分——虚拟数据中心、联合企业区域信息交换系统、联军联邦作战实验室网络、共用任务网络传输系统、“飞马”系统和所有伙伴接入网的功能与发展现状;介绍了MPE的最新发展并分析了MPE从以网络为中心向以数据为中心发展的主要趋势。

基于云计算环境的网络信息安全技术创新

近年来,中国数码技术迅速发展,云计算技术取得了巨大进步,在21世纪初迅速崛起。各行业广泛应用信息共享、数据解读和大数据,互联网已成为日常生活的核心。然而,网络安全问题日益严重,黑色产业泛滥,因此需加强网络信息安全技术的运用和普及,提高我国信息安全实力。在使用数字化工具时,必须保护隐私,避免云端数据环境中个人数据的安全性受到威胁。

信息化环境下医院网络信息安全的研究

当前,信息技术的高速发展,使其广泛应用在各行各业,而医院在经营发展期间也需要通过信息化建设来提高工作效率与病患服务质量。由于医院的特殊性,因此医院网络信息系统的安全性至关重要。文中对医院网络信息安全性进行了分析,并对信息化环境下的医院网络信息安全提出了建议,希望为关注医院网络信息安全的人群带来参考。

网络安全技术的应用

随着信息技术的迅猛发展,网络安全问题日益严重,已成为全球范围内亟待解决的重要课题。网络安全技术的应用显得尤为重要,这些技术通过多种方法和机制,能保障网络环境的安全性、完整性和可用性。本文就计算机网络安全技术在维护网络安全中的应用进行研究,并提出了一些建议,以供参考。

网络计算机信息采集处理安全研究

网络环境下,计算机信息技术在给人们带来便捷的同时,也存在诸多的安全隐患,因此如何安全可靠地运用计算机信息处理技术,为人们日常工作生活提供便捷,已经成为新时代的研究重点了。基于此,文章以网络计算机信息采集处理安全性为主要的对象,结合实际情况论述了提高安全性的方法,旨在为实际工作提供一定的帮助。

美国《国防信息系统局2025—2029财年战略》文件解读

为维护美国防部的全球信息优势,美国防信息系统局发布了其最新5年战略计划《DISA2025—2029财年战略》,阐明了其将在国防信息网络领域采取的措施及2030年转型目标,以保障美国防部的信息优势地位和联合全域作战能力。文章详细解读了该战略文件的发布背景、主要内容等,并提出思考认识,为我国相关工作提供思路。

Construction of Three-dimensional power security Defense System Based on T-S Model Fuzzy Neural Network

With the development of information networks, the problem of power security has increasingly caused many attention of people, but the simple power security defense system has been difficult to meet the current complex network environment. Aiming at this situation, by using the method of T-S fuzzy neural network model to analyze the characteristics of the data transmission in network, it has obtained corresponding threat information. By processing these threat information, it completes the construction of three-dimensional power security defense system. The paper carries on the corresponding data training methods by using T-shirt model fuzzy neural network, which has certain reference significance for the data analysis of other similar fields. At the same time, the study of building on the three-dimensional power security defense system aims to provide a theoretical reference for solving the security defense of the current complex network environment.

Human settlement's social network analysis based on spatial trend surface model:a case study of Chongqing Municipality

Integrated with GIS and remote sensing(RS) technology,a systematic analysis and its methodology for human-settlements social environment has been introduced.This methodology has been called spatial trend field model(STFM).STFM's application history in the field of human-settlements social environment has been discussed at first.Then,some index data models have been created through STFM,which include population density trend field,human activity strength trend field,city-town spatial density trend field,urbanization ratio trend field,road density trend field,GDP spatial density trend field and PER-GDP spatial density trend field.With all above-mentioned indexes as input data,through Iterative Self-Organizing Data Analysis Techniques Algorithm(ISODATA),this paper makes a verification study of Chongqing municipality.The result of the case study confirms that STFM methodology is credible and has high efficiency for regional human-settlements study.