无线自组织网络中多层综合的节点行为异常检测方法

Ad hoe网络由于采用无线信道、有限的电源和带宽、分布式控制等,会比有线网络更易受到入侵攻击.通常的入侵检测技术具有检测能力单一、缺乏对抗新入侵方式的能力等缺陷.在分布式入侵检测系统(IDS)的基础上,提出一种针对移动节点网络行为的异常检测机制.基于多层综合的观测值序列,采用隐半马尔可夫模型(HSMM)建立描述网络中合法节点正常行为的检测模型,继而对网络中的正常与异常行为进行判断与识别.实验表明,此方法能针对现有多种入侵方式进行有效的检测.     

基于Snort系统的网络入侵检测模型的研究

网络入侵检测是网络安全领域研究的热点问题,通过应用分组交换检测机制和Markov链,提出基于Snort系统的IDS模型,设计Snort系统规则库和检测引擎。分析结果表明,改进模型和方法可以提高网络入侵检测中海量数据的检测准确率和效率。     

入侵检测系统的现状及发展趋势

入侵检测系统(IDS)作为一门新兴的安全技术，是网络安全系统中的重要组成部分。本文阐述了入侵检测系统的基本原理，从入侵检测系统的类型划分这个角度，分析和比较了基于主机和基于网络两种数据源及基于误用和基于异常两种检测方法的优缺点。并对入侵检测系统的现状及存在的问题进行综述，最后，对入侵检测系统的未来发展方向进行了讨论。     

基于主机的入侵检测系统分析

入侵检测系统(IDS)在近二十年来成为一个非常活跃的研究和应用领域。同传统的操作系统加固技术和防火墙隔离技术等静态安全防御技术相比,IDS作为核心动态安全技术之一,通过分析、审计记录,识别系统中任何不应该发生的活动,做出记录、报警、阻断等相应的措施来报告、制止入侵活动,从而提供实时的入侵检测。 IDS按获得原始数据的方法,可以分为基于主机和基于网络的入侵检测系统。基于主机的入侵检测系统HIDS是早期的入侵检测系统结构,使用主机传感器采集本系统的信息,可以用于分部     

入侵检测系统的现状及发展趋势

入侵检测系统(IDS)作为一门新兴的安全技术,是网络安全系统中的重要组成部分。本文阐述了入侵检测系统的基本原理,从入侵检测系统的类型划分这个角度,分析和比较了基于主机和基于网络两种数据源及基于误用和基于异常两种检测方法的优缺点。并对入侵检测系统的现状及存在的问题进行综述,最后,对入侵检测系统的未来发展方向进行了讨论。     

基于网络的入侵检测系统的设计与实现

入侵检测(IDS)技术是一种新兴网络安全技术,它是一种基于主动策略的网络安全系统,是对传统的安全策略的补充,是网络安全系统中的重要组成部分.入侵检测已经成为网络安全不可或缺的一部分,它为网络提供了一个防御层,在这一层中我们可以预先定义可能的入侵行为以便对网络活动进行监视,当发现在可能的入侵行为是就回报警通知系统管理员.本文将基于网络数据的安全性,论述入侵检测系统的基本概念.并论述如何结合IDS现有的技术,开发一个简单的网络入侵检测系统的模型.     

无线传感器网络中基于博弈论的入侵检测系统

由于无线链路的开放性,节点生存周期有限,网络拓扑结构动态变化,传统的基于防火墙的安全策略作用有限,使得无线传感器网络（WSNs）存在严重的安全性问题。入侵检测系统IDS（Intrusion Detection System）作为一种主动防御方式,成为了当前研究的热点问题之一。论文针对目前IDS发展现状,采用基于博弈论的分析方法,建立可应对多目标、多攻击源和多攻击强度的IDS模型,使在对攻击的防御成功率和延长网络生存周期上都有所改进。     

无线Mesh网络入侵检测关键技术研究

本文研究了无线Mesh网络的结构和特点,以及入侵检测系统(IDS)在构建安全WMN中不可替代的作用。深入分析了AdHoc网络IDS、跨层和网络故障检测技术特点以及无线Mesh网络自身的安全需求。在此基础上,本文结合网络故障检测与跨层技术提出了一种基于代理的非对称分布式协作IDS结构,对代理模块设计原则进行了详细分析。最后以MAC自私行为攻击为例对该结构进行了模拟。结果显示,该结构能够很好地适应无线Mesh网络。     

无线传感网中的入侵检测关键技术研究

由于无线链路的弱点,节点缺少物理保护,拓扑的动态变化,缺乏集中的监控点等,使得无线传感器网络存在着更多的安全问题.入侵检测技术可作为第二道安全防线来弥补入侵预防技术的不足,是当前研究的热点问题之一.文章结合目前无线传感网IDS技术的发展现状,对入侵检测方法、IDS模型进行深入分析,并针对静态IDS模型存在的问题,提出了一种动态的IDS模型,在安全性、稳定性和健壮性方面都有所改进.     

入侵检测系统的研究与一个基于LINUX的NIDS的实例

本文介绍了入侵检测系统（IDS）的发展历史、分类以及入侵检测系统的整体架构，并给出了一个基于Linux的网络入侵检测系统的实现，最后分析了入侵检测系统目前面临的主要问题。     

基于DS证据理论的无线传感器网络MAC层安全研究*

研究了无线传感器网络MAC层安全问题,分析了现有无线传感器网络MAC层协议安全体系的不足之处,针对无线传感器网络遭到非法入侵的情况,提出了一个基于D-S证据理论的MAC层入侵检测机制。该机制利用碰撞率、数据包平均等待时间、RTS包到达率以及邻居节点的报警作为证据,对网络的状态进行实时的分析检测,根据网络的状态作出响应。该算法能够应用于现有的MAC协议如S-MAC、IEEE 802.15.4中,仿真结果表明,该算法能够较好地抵御针对MAC层的攻击,保证网络的安全运行。     

面向滥用检测的反馈预测机制

在高速主干网络环境中的入侵检测系统应该满足两个要求：第一，需要尽早发现入侵企图；第二，要努力降低入侵检测的操作代价。两者的解决办法与入侵检测模型和测度密切相关。本文在一般的滥用检测系统中嵌入反馈预测机制，它不仅能预测用户当前行为是否入侵，而且能大幅度降低该入侵检测系统的操作代价，可适应在高速网络中的实时检测需要。实际测试结果表明反馈预测机制能比较精确地预测入侵，嵌入了反馈预测机制的滥用检测系统的数据处理能力有了较大的改善。     

Intrusion Detection Systems in Internet of Things and Mobile Ad-Hoc Networks

Internet of Things (IoT) devices work mainly in wireless mediums; requiring different Intrusion Detection System (IDS) kind of solutions to leverage 802.11 header information for intrusion detection. Wireless-specific traffic features with high information gain are primarily found in data link layers rather than application layers in wired networks. This survey investigates some of the complexities and challenges in deploying wireless IDS in terms of data collection methods, IDS techniques, IDS placement strategies, and traffic data analysis techniques. This paper’s main finding highlights the lack of available network traces for training modern machine-learning models against IoT specific intrusions. Specifically, the Knowledge Discovery in Databases (KDD) Cup dataset is reviewed to highlight the design challenges of wireless intrusion detection based on current data attributes and proposed several guidelines to future-proof following traffic capture methods in the wireless network (WN). The paper starts with a review of various intrusion detection techniques, data collection methods and placement methods. The main goal of this paper is to study the design challenges of deploying intrusion detection system in a wireless environment. Intrusion detection system deployment in a wireless environment is not as straightforward as in the wired network environment due to the architectural complexities. So this paper reviews the traditional wired intrusion detection deployment methods and discusses how these techniques could be adopted into the wireless environment and also highlights the design challenges in the wireless environment. The main wireless environments to look into would be Wireless Sensor Networks (WSN), Mobile Ad Hoc Networks (MANET) and IoT as this are the future trends and a lot of attacks have been targeted into these networks. So it is very crucial to design an IDS specifically to target on the wireless networks.     

一种基于数据挖掘技术的入侵检测模型研究

入侵检测系统是一种检测网络入侵行为并能够主动保护自己免受攻击的一种网络安全技术,是网络防火墙的合理补充。文中分析了入侵检测系统的通用模型,介绍了入侵检测系统的分类,给出了传统的网络检测技术,在此基础上,详细讨论了数据挖掘技术及其在入侵检测系统中的应用,提出了一个基于数据挖掘技术的入侵检测模型,该模型采用了数据挖掘中的分类算法和关联规则。经过实际测试,该模型能够使网络入侵检测更加自动化,提高检测效率和准确度。     

无线局域网非授权用户入侵行为分析及检测*

针对当前流行的破解有线等效加密无线局域网密钥进而盗用上网资源的现象,研究了相关产品的攻击手段.对其提供的交互式重放攻击、ARP注入攻击、chopchop攻击和分片攻击四种攻击方式,通过跟踪记录攻击过程,分析了它们的攻击原理.在借鉴KDD99等特征提取方法的基础上,提取了9个用于识别攻击的流量统计特征,并利用支持向量机设...     

数据挖掘技术在入侵检测系统中的应用

入侵检测系统是一种检测网络入侵行为的工具,然而现在的入侵检测系统内部的知识库中的入侵模式（正常模式和异常模式）往往不能很好地反应入侵行为的特征,所以有时候经常出现漏报或误报的情况,另外,系统提了的用户行为特征有时候也不能正确地反映用户的实际行为特征,针对这一情况,详细讨论了数据挖掘技术在入侵检测系统中的应用,提出了采用数据挖掘技术的入侵检测系统的结构模型。     

IoT Wireless Intrusion Detection and Network Traffic Analysis

Enhancement in wireless networks had given users the ability to use the Internet without a physical connection to the router. Almost every Internet of Things (IoT) devices such as smartphones, drones, and cameras use wireless technology (Infrared, Bluetooth, IrDA, IEEE 802.11, etc.) to establish multiple inter-device connections simultaneously. With the flexibility of the wireless network, one can set up numerous ad-hoc networks on-demand, connecting hundreds to thousands of users, increasing productivity and profitability significantly. However, the number of network attacks in wireless networks that exploit such flexibilities in setting and tearing down networks has become very alarming. Perpetrators can launch attacks since there is no first line of defense in an ad hoc network setup besides the standard IEEE802.11 WPA2 authentication. One feasible countermeasure is to deploy intrusion detection systems at the edge of these ad hoc networks (Network-based IDS) or at the node level (Host-based IDS). The challenge here is that there is no readily available benchmark data available for IoT network traffic. Creating this benchmark data is very tedious as IoT can work on multiple platforms and networks, and crafting and labelling such dataset is very labor-intensive. This research aims to study the characteristics of existing datasets available such as KDD-Cup and NSL-KDD, and their suitability for wireless IDS implementation. We hypothesize that network features are parametrically different depending on the types of network and assigning weight dynamically to these features can potentially improve the subsequent threat classifications. This paper analyses packet and flow features for the data packet captured on a wireless network rather than a wired network. Combining domain heuristcs and early classification results, the paper had identified 19 header fields exclusive to wireless network that contain high information gain to be used as ML features in Wireless IDS.     

Wired and wireless intrusion detection system: Classifications, good characteristics and state-of-the-art

In computer and network security, standard approaches to intrusion detection and response attempt to detect and prevent individual attacks. Intrusion Detection System (IDS) and intrusion prevention systems (IPS) are real-time software for risk assessment by monitoring for suspicious activity at the network and system layer. Software scanner allows network administrator to audit the network for vulnerabilities and thus securing potential holes before attackers take advantage of them.

In this paper we try to define the intruder, types of intruders, detection behaviors, detection approaches and detection techniques. This paper presents a structural approach to the IDS by introducing a classification of IDS. It presents important features, advantages and disadvantages of each detection approach and the corresponding detection techniques. Furthermore, this paper introduces the wireless intrusion protection systems.

The goal of this paper is to place some characteristics of good IDS and examine the positioning of intrusion prevention as part of an overall layered security strategy and a review of evaluation criteria for identifying and selecting IDS and IPS. With this, we hope to introduce a good characteristic in order to improve the capabilities for early detection of distributed attacks in the preliminary phases against infrastructure and take a full spectrum of manual and automatic response actions against the source of attacks.     

基于HMM的系统调用序列异常入侵检测

本文首先介绍了入侵检测的发展状况,接着用马尔可夫和BW算法进行建模;然后以系统调用执行迹这类常用的入侵检测数据为例,验证该模型的工作效果,最后将计算机仿真结果与其他检测方法进行了比较。通过实验和比较发现,基于HMM的系统调用序列的异常检测率比其他方法有明显的提高。