基于云计算的智能电网安全问题

针对目前越来越普及的智能电网云技术,本文对云计算在智能电网中的应用情况进行了分析,通过分析发现了智能电网云在物理层、虚拟层和云服务层存在一定的安全风险,文章通过对这些安全风险的细致分析,并提出了切实可行的安全防护措施,智能电网云的安全高效发展提供了一定的借鉴经验。     

智能电网中的移动应用安全技术研究

当前智能电网的建设愈加朝向数字化、自动化的目标前进,根据电网建设的计划逐步开展,文章首先分析了智能电网的几种移动应用服务,其中包含应用安全服务层、移动应用服务层、可信移动设备管理层和基础安全层.本文最后针对智能电网采用移动应用的安全保障问题进行了探讨,深入分析了智能电网中的移动应用安全技术有关问题,旨为有关部门的工作开展提供参考.     

基于DM6467T的工业智能相机信息安全策略设计

工业智能相机同时与物理设备层及信息管理层相连,是其应用系统的核心部件,其安全设计需要兼顾网络、视频安全与现场控制等多方面因素.针对工业智能相机的应用场景,结合DM6467T的双核架构特性,设计了一种层次化的安全防护策略.在基于DM6467T嵌入式智能相机开发平台上,实现了该种安全防护策略,并进行相关测试.实验结果表明,该方案在满足工业实时性要求的情况下,不仅能够保证网络信息安全问题,同时能够有效防止视频安全攻击.     

多层多域智能光网络安全关键技术研究

与目前主要局限于光网络光层安全问题的研究不同,在从多层次多角度剖析多层多域智能光网络安全问题的基础上,重点围绕多层多域智能光网络安全体系结构、光包加密、安全路由和安全信令四个方面的研究进展进行了全面分析和总结,并对未来工作进行了展望。     

4～7层网络市场露出笑脸

4～7层智能应用交换及安全市场可以说是网络设备市场的一块晴雨表,随着网络泡沫的散去,它开始显山露水。不久前到访的Radware公司总裁RoyZisapel认为,随着宽带的普及和企业网应用的增加,4～7层智能应用交换及安全市场走出低谷,尤其是在中国,前景广阔。 在网络结构中,4～7层网络智能应用交换设备能够实现诸多传统2～3层交换设备所不能完成的任务,例如负载均衡、基于内容的安全保障等。在国内,网络设备用户和业界人士已经广泛认可了4～7层智能应用交换技术。Radware的4～7层设备在包括电信、金融、证券、能源等具有重要影响力的行业得到应     

改进MHNA对智能家庭事故安全检测的研究

为了使智能家庭网络体系结构模型MHNA具备事故安全检测预防能力,在给出事故安全检测所需理论支持后,改进MHNA模型中关于智能家电分子化服务的形式化描述,设计了化合器工作模型,优化该模型智能支持层和服务化合层的结构和工作机制,使MHNA具备了智能家庭事故安全检测预防的能力.最后利用改进的MHNA对具体应用实例的工作过程进行分析和阐述,实验证明改选的MHNA模型在事故安全检测预防的应用上能够收到较好效果.     

基于DM6467T的工业智能相机信息安全策略设计及实现

摘　要 工业智能相机同时与物理设备层及信息管理层相连,是其应用系统的核心部件,其安全设计需要兼顾网络及视频安全与现场控制等多方面因素。针对工业智能相机的应用场景,结合DM6467T的双核架构特性,设计了一种层次化的安全防护策略。在基于DM6467T嵌入式智能相机开发平台上,实现了该种安全防护策略,并进行相关测试。实验结果表明,该方案在满足工业实时性要求的情况下,不仅能够保证网络信息安全问题,同时能够有效防止视频安全攻击。     

国密SM9算法在物联网安全领域的应用研究

针对目前物联网行业面临的安全问题,本文提出了基于国密SM9算法的物联网安全解决方案,充分发挥国密SM9身份即标识、无证书体系和非对称加密等特点,实现物联网感知层、网络层和平台层的安全应用;提供强身份认证、数据加密、通道加密和访问控制等能力;在物联网资源限制的条件下,提升了安全性,保障了易用性、易维护性和可扩展性。同时,结合目前智能门锁行业面临的安全问题,阐述了国密SM9算法在智能门锁安全防护中的应用成效,推动物联网行业的健康发展。     

区块链应用的安全分析与防范建议

为了解决区块链应用方面的安全挑战,以区块链应用为主视角,介绍了区块链的研究现状,对区块链网络的数据结构层、网络层、共识层、应用层面临的安全威胁进行了分析,并围绕防范网络层攻击、改进共识层协议、加强应用层智能合约设计等方面给出区块链未来发展的安全建议。     

贴近网络应用决胜安全市场--Radware公司CEO Roy Zisapel访华侧记

作为始终专注于4—7层网络智能应用交换领域的领导厂商,Radware公司秉承Rad集团专注领域的独特传统,将核心的研发力量集中在4—7层智能应用交换领域,通过在4—7层网络交换领域专注的技术研发、优化的网络资源利用以及完善的安全防护体系架构为用户打造全方位、高     

无线个人通信网

本文简要介绍了无线个人通信网，主要讨论了无线个人通信网的频谱分配、移动管理、呼叫和流量控制、智能网结构、网络规划和设计等技术问题。     

车载网络IEEE 802.11p协议的特性研究

为了深入探讨车载网络协议IEEE 802.11p的特性,首先对该协议的物理层、媒体控制访问层及其帧结构进行了详细介绍,然后从工作频率、传输速率及最大功耗等方面与其他短距离无线通信技术进行对比分析,最后归纳出车载网络协议IEEE 802.11p作为一项新的协议标准,在车载网络的实际应用中有着区别于其他无线通信技术的特有优势。因此,对该协议的突破性研究,将有助于车载网络技术在智能交通系统领域走向实用,既具有一定的理论意义,又具有重要的应用前景。     

Broadcasting safety information in vehicular networks: issues and approaches

A primary goal of intelligent transportation systems is to improve road safety. The ability of vehicles to communicate is a promising way to alleviate traffic accidents by reducing the response time associated with human reaction to nearby drivers. Vehicle mobility patterns caused by varying traffic dynamics and travel behavior lead to considerable complexity in the efficiency and reliability of vehicular communication networks. This causes two major routing issues: the broadcast storm problem and the network disconnection problem. In this article we review broadcast communication in vehicular communication networks and mechanisms to alleviate the broadcast storm problem. Moreover, we introduce vehicular safety applications, discuss network design considerations, and characterize broadcast protocols in vehicular networks.     

Machine learning in vehicular networking: An overview

As vehicle complexity and road congestion increase, combined with the emergence of electric vehicles, the need for intelligent transportation systems to improve on-road safety and transportation efficiency using vehicular networks has become essential. The evolution of high mobility wireless networks will provide improved support for connected vehicles through highly dynamic heterogeneous networks. Particularly, 5G deployment introduces new features and technologies that enable operators to capitalize on emerging infrastructure capabilities. Machine Learning (ML), a powerful methodology for adaptive and predictive system development, has emerged in both vehicular and conventional wireless networks. Adopting data-centric methods enables ML to address highly dynamic vehicular network issues faced by conventional solutions, such as traditional control loop design and optimization techniques. This article provides a short survey of ML applications in vehicular networks from the networking aspect. Research topics covered in this article include network control containing handover management and routing decision making, resource management, and energy efficiency in vehicular networks. The findings of this paper suggest more attention should be paid to network forming/deforming decision making. ML applications in vehicular networks should focus on researching multi-agent cooperated oriented methods and overall complexity reduction while utilizing enabling technologies, such as mobile edge computing for real-world deployment. Research datasets, simulation environment standardization, and method interpretability also require more research attention.     

海洋通信的最新进展综述

This paper summarizes the requirements for modern maritime wireless communication networks in the marine environments including the sea-to-sea and sea-to-shore communication scenarios. The existing maritime wireless communication systems are presented and the development of the state-of-the-art maritime communication systems is surveyed. Furthermore, a hierarchical and integrated maritime network architecture is proposed to satisfy the increasing various classes of services which demand different Quality of Service (QoS). Finally, the open issues for further development of maritime communications are identified.     

基于车辆行为分析的智能车联网关键技术研究

车联网通信系统中通信节点的高移动性、移动行为的复杂性,使得此场景下通信业务呈现数据实时交互性强、空时分布不均、尺度多变、规律复杂的特征,导致传统的车联网网络部署、资源调配难以有效满足用户的差异化服务质量需求。因此,迫切需要设计“车-人-路-云”泛在互联的智能异构车联网网络,通过充分挖掘车辆行为数据的潜在价值,精准预测、刻画车辆行为的空时分布特性,以提升车联网资源利用率、改善车联网服务性能。该文全面梳理了国内外在车辆行为分析、网络部署与接入以及资源优化方面的相关工作,重点阐述了智能车联网关键使能技术,即如何借助先进的人工智能、数据分析技术,探索车联网中车辆行为的空时分布特性,建立车辆行为预测模型,进行智能化网络部署与多网接入、动态资源优化管理,实现高容量、高效率的智能车联网通信。     

车联网网络架构与媒质接入机制研究

车联网旨在实现一体化智能交通体系和无处不在的网络,其关键技术在于全网数据共享和车辆宽带接入。现有车辆网络架构因其不同设计目标而缺少统一的协议栈和数据接口,难以有效进行全网数据共享或协同通信;其多信道机制缺少灵活性,整体网络性能受网络节点密度影响较大。文章提出面向安全应用的车联网无线网络架构及其协同通信协议栈,并对车联网自适应多信道媒质接入协议进行研究。     

Dynamic Clustering Mechanism to Avoid Congestion Control in Vehicular Ad Hoc Networks Based on Node Density

Wireless Personal Communications - Due to the rapid growth in wireless communications, vehicular ad-hoc networks (VANETs) face many challenges over wireless communication networks. Nowadays VANETs...     

Topics in automotive networking

Significant research efforts in industry and academia have been underway to accelerate the development of intelligent transportation systems (ITS) for safe, efficient, and convenient driving. Much of the research effort has been devoted to meet the challenges of effectively integrating wireless communications, computing, and advanced sensor technologies into vehicular and transportation systems. To date, the Automotive Networking Series has published articles that address such challenges, including characterization of vehicular communication channels and development of wireless system technologies; design of protocols for vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) networking that adapt to changes of roadway conditions to provide fast, reliable communications; simulation tools to validate designs in realistic roadway scenarios; technologies to achieve security and privacy; and standardization, among others.     

Heterogeneous Vehicular Communication Architecture and Key Technologies

Vehicular networks have traditionally been used in specific scenarios, such as Electronic Toll Collection (ETC). New vehicular networks, however, support communication of safety information between vehicles using self-organized ad-hoc technology. Because of limitations in network architecture, current vehicular networks only provide communication for mobile terminals in a vehicle cluster. Vehicles cannot exchange information with an Intelligent Traffic System (ITS) control center nor can they access broadband wireless networks. This paper proposes a novel heterogeneous vehicular wireless architecture based on Wireless Access in Vehicular Environment (WAVE, IEEE 802.11 p) and Worldwide Interoperability for Microwave Access (WiMAX,IEEE 802.16e). A new network infrastructure and system model is introduced, and key technologies are discussed. For WAVE, these technologies include adaptive multichannel coordination mechanism and scheduling algorithm; and for WiMAX, these technologies include group handover scheme and two-level resource allocation algorithm.