全光通信网安全问题初探

本文介绍了全光通信网(AON)的概念。研究了全光网络中光层可能遭到的两种网络攻击:服务玻坏和网络窃听以及对网络通信安全的影响。提出了全光网络安全的考虑方法和可以采取的安全策略。     

移动IP在无线局域网下的一种快速切换方法

针对移动IP在无线局域网下的应用,提出了一种新的基于链路层的移动IP快速切换方法,通过在无线局域网的无线接入点间加入特定的MAC网桥来减少移动节点在切换时产生的切换时延,进而减少移动节点上行和下行方向上的数据包的丢失,达到对移动IP切换进行优化的目的。此方法在无线局域网实际环境中进行了性能测试,结果证明优化后的时延较之原来普通移动IP切换时延有明显降低。     

只用两个量子态的星型量子密钥网络方案

要建立一个安全的保密通信通道,关键就是密钥管理。传统的密钥管理并不能完全解决安全问题,量子密码技术却可以从根本上解决这个问题。本文从实用的角度提出一个基于无源光学网络环境中建立量子密钥的实用方案,这个方法可以由一个网络控制者在一个星型网络上和多个网络用户分别建立、更新密钥。为节约量子探测设备,和通常用四个量子态的保密通信方案相比,这个方案只用了两个量子态。本文还分析了在网络的各个位置上存在窃听时网络的安全性能。     

A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks

Detecting malicious behavior is important for preventing security threats in a computer network. Denial of Service (DoS) is among the popular cyber attacks targeted at web sites of high‐profile organizations and can potentially have high economic and time costs. In this paper, several machine learning methods including ensemble models and autoencoder‐based deep learning classifiers are compared and tuned using Bayesian optimization. The autoencoder framework enables to extract new features by mapping the original input to a new space. The methods are trained and tested both for binary and multi‐class classification on Digiturk and Labris datasets, which were introduced recently for detecting various types of DDoS attacks. The best performing methods are found to be ensembles though deep learning classifiers achieved comparable level of accuracy.     

OTN电交叉技术及组网应用分析

光传送网（OTN）技术正逐步取代SDH／MSTP、WDM技术,成为光传送网主流技术。本文在对OTN电交叉技术和设备以及国内运营商网络业务需求特点进行深入分析的基础上,提出了采用OTN电交叉技术组建环形网和网状网的建设方案。     

A lightweight authentication scheme based on self‐updating strategy for space information network

The security of space information network (SIN) is getting more and more important now. Because of the special features of SIN (e.g., the dynamic and unstable topology, the highly exposed links, the restricted computation power, the flexible networking methods, and so on), the security protocol for SIN should have a balance between security properties and computation/storage overhead. Although a lot of security protocols have been proposed recently, few can provide overall attacks resistance power with low computation and storage cost. To solve this problem, in this paper we propose a lightweight authentication scheme for space information network. It is mainly based on the self‐updating strategy for user's temporary identity. The scheme consists of two phases, namely, the registration phase and the authentication phase. All the computing operations involved are just hash function (h), the bit‐wise exclusive‐or operation (⊕), and the string concatenation operation (||), which are of low computation cost. The security properties discussion and the attacks–resistance power analysis show that the proposed authentication scheme can defend against various typical attacks, especially denial of service attacks. It is sufficiently secure with the lowest computation and storage costs. Furthermore, the formal security proof in SVO logic also demonstrates that the scheme can satisfy the security goals very well. Copyright © 2016 John Wiley & Sons, Ltd.     

智能大厦的通信自动化网络系统

章乎先对智能大厦通信自动化交换网络的组成作了论述;然后主要介绍了ＡＴＭ网络系统的相关技术及其应用。     

粒子群算法优化神经网络结构的研究

针对BP神经网络初始权阈值确定的随机性和隐含层节点数的不确定性,通过利用十进制粒子群优化算法（DePSO）和二进制粒子群优化算法（BiPSO）,同时优化神经网络的初始权阈值和结构。通过粒子群优化算法首先确定一个较好的搜索空间,然后在这个解空间里利用BP算法对网络进行训练和学习,搜索出最优解。通过函数拟合数值实验对该模型来进行训练和测试,相比其他算法,该模型可以获得较高的预测精度,结果表明该方法是可行的。     

基于神经网络的海杂波模型

采用相空间重构方法构造海杂波内在动力学模型,并运用神经网络提取模型参数,通过获得的模型参数对海杂波进行预测和补偿,实现海杂波抑制的目的．对雷达采集的实际海杂波数据的实验结果表明,该方法具有较好的杂波抑制效果．     

广电网络业务发展的分析

以促进广电网络发展为纲,分析广电主要的3项增值业务:付费频道,高清互动,宽带业务。从实际出发,分析现状并为其正确定位,对其发展方向及业务增长方式题出建议,指出广电未来以电视业务宽带业务为主线的盈利格局。