入侵检测系统中蜜罐的设计与应用

入侵检测技术是新一代动态安全防范技术，但是它具有漏报、误报和无法检测新型攻击的缺点。蜜罐的引入使得这种情况得到改善。文章介绍了入侵检测系统及蜜罐的原理和分类，并提出了一种可行的设计方案。通过蜜罐和入侵检测系统的结合应用来增强入侵检测系统的性能。     

基于蜜罐技术的校园网络安全防御系统设计与实现

通过对蜜罐技术分类特点及密罐部署位置及布置数量的分析,得出校园网中部署蜜罐系统的拓扑和最优配比,并将蜜罐系统、入侵检测系统、日志服务器和防火墙有机地结合,提出了具有主动防御功能的基于蜜罐技术的校园网安全方案。同时对蜜罐系统功能实现进行了验证测试。     

基于蜜罐技术的局域网安全研究

蜜罐技术是一种主动防御技术,可以诱骗攻击并记录入侵过程,及时获得攻击信息并以此来深入分析各种攻击行为。本文根据蜜罐技术的原理,结合传统的入侵检测技术设计了一个基于蜜罐技术的局域网安全模型。     

VMM入侵检测系统体系结构

针对现存入侵检测系统存在的问题,提出一个运行于虚拟机监控器之上的入侵检测系统。由虚拟机监控器来虚拟硬件接口,在单一的硬件实体上运行多个系统实例,因为虚拟机监控器处于操作系统和硬件之间,从而使得这个入侵检测系统位于监控所有对操作系统的入侵事件的最佳位置,并处于一个独立于操作系统之外的受保护的空间内,增强了入侵检测系统的独立性和检测能力,是传统的基于主机和网络的入侵检测系统优点的完美结合。     

入侵诱骗系统中自动生成特征规则的研究

针对传统入侵检测系统存在的被动性,系统过载等问题,利用蜜罐技术的诱骗机制来研究入侵者的入侵手段、工具,可以预先判断可能存在的攻击,及时修补系统的漏洞,达到主动防御的目的。文章研究了入侵检测中模式匹配技术,利用虚拟蜜罐Honeyd的插件Honeycomb为入侵检测系统Snort自动地生成入侵特征,搭建一个入侵诱骗系统进行实验,结果证明,该方法有效地改善了入侵检测系统的漏报问题,提升系统的整体性能。     

蜜罐与入侵检测技术联动系统的研究与设计

针对单一技术在网络安全防御上的局限性,对入侵检测和蜜罐技术进行了认真研究.构建了一个新的入侵检测与蜜罐技术联动的防御系统.通过蜜罐收集入侵信息,用无监督聚类算法分析入侵数据,将数据集划分为不同的类别,提取新的攻击特征,扩充了入侵检测系统的特征库.通过实验分析和采用KDDCUP99入侵数据集进行测试,证明对于误报和漏报问题有一定的改进,提高了对未知入侵攻击的检测效率.     

基于蜜罐的安全系统设计

为解决传统蜜罐系统视野狭小,存在大量安全隐患等缺点,提出了一种新的基于蜜罐的网络安全系统,并给出了对该系统主要部件的设计.该系统采用多层诱骗方法以扩大视野;将数据控制与重定向技术相结合,以便在入侵的各阶段对系统进行保护;将虚拟机技术与数据捕获技术相结合,有效提高数了据捕获的隐蔽性和数据传输的安全性.最后,在实验室的检测表明了系统的有效性.     

虚拟蜜网的实际应用

虚拟蜜罐（Virtual Honeypots）是一种新的蜜罐模式,是在虚拟的环境中运行的,是试图将攻击者从关键系统引诱开的诱骗系统。虚拟蜜罐的应用可以大大降低了运营成本、机器占用空间以及管理员对蜜罐选行管理的难度;同时,能够记录入侵者的行动和入侵数据,必要时给防火墙添加新规则或者手工防御。如果能与入侵检测系统结合,将更好地实现对网络入侵的跟踪与分析．具有一定的研究价值。     

入侵检测系统结合蜜罐技术的设计

蜜罐系统（Honeynet）是由数个蜜罐所组成,它是一个用来搜集黑客相关资料的网路陷阱,是入侵检测系统的一个安全部件,蜜罐技术的研究和学习将会更有力的推动网络入侵检测技术的发展。     

基于蜜罐的入侵检测系统

本文针对入侵检测技术的准确性问题,分析了蜜罐系统在安全上所具有的优势,设计出基于蜜罐的入侵检测系统Honey-IDS,它通过网络欺骗、数据控制和数据捕获等关键技术实现了对网络入侵的跟踪与分析.     

A hybrid intrusion detection system design for computer network security

Intrusions detection systems (IDSs) are systems that try to detect attacks as they occur or after the attacks took place. IDSs collect network traffic information from some point on the network or computer system and then use this information to secure the network. Intrusion detection systems can be misuse-detection or anomaly detection based. Misuse-detection based IDSs can only detect known attacks whereas anomaly detection based IDSs can also detect new attacks by using heuristic methods. In this paper we propose a hybrid IDS by combining the two approaches in one system. The hybrid IDS is obtained by combining packet header anomaly detection (PHAD) and network traffic anomaly detection (NETAD) which are anomaly-based IDSs with the misuse-based IDS Snort which is an open-source project.The hybrid IDS obtained is evaluated using the MIT Lincoln Laboratories network traffic data (IDEVAL) as a testbed. Evaluation compares the number of attacks detected by misuse-based IDS on its own, with the hybrid IDS obtained combining anomaly-based and misuse-based IDSs and shows that the hybrid IDS is a more powerful system.     

一种基于移动Agent的抗攻击性IDS模型

随着入侵检测系统(Inhusion Detection System——IDS)性能的逐步提高，攻击者往往在入侵目标网络之前攻击IDS，使其丧失保护功能。在当前常用的分布式入侵检测系统的基础上，提出了一种能够对抗拒绝服务(Denial of Service——DoS)攻击的IDS模型，并指出了将当前的分布式IDS转换成此模型的配置方法。     

一种基于移动代理的分布式IDS模型研究

传统的分布式层次型入侵检测系统也有难以克服的缺陷,在层出不穷的攻击方式面前容易崩溃。本文提出了一种基于移动代理的IDS模型,它综合了两个领域的研究成果：分布式IDS和移动代理(MA)。通过安全分析表明,该模型提供了较好的安全构架。     

Privacy issues in intrusion detection systems: A taxonomy,survey and future directions

Intrusion Detection Systems (IDSs) detect potential attacks by monitoring activities in computers and networks. This monitoring is carried out by collecting and analyzing data pertaining to users and organizations. The data is collected from various sources – such as system log files or network traffic–and may contain private information. Therefore, analysis of the data by an IDS can raise multiple privacy concerns. Recently, building IDSs that consider privacy issues in their design criteria in addition to classic design objectives (such as IDS’ performance and precision) has become a priority. This article proposes a taxonomy of privacy issues in IDSs which is then utilized to identify new challenges and problems in the field. In this taxonomy, we classify privacy-sensitive IDS data as input, built-in and generated data. Research prototypes are then surveyed and compared using the taxonomy. The privacy techniques used in the surveyed systems are discussed and compared based on their effects on the performance and precision of the IDS. Finally, the taxonomy and the survey are used to point out a number of areas for future research.     

Mixing Wheat with the Chaff: Creating Useful Test Data for IDS Evaluation

As the use of intrusion detection systems (IDSs) continues to climb and as researchers find more ways to detect attacks amid a vast ocean of data. The problem of testing IDS solutions has reared its ugly bead. Showing that one technique is better than another or training an IDS about normal usage requires test data. As it turns out, collecting or creating such a data set is something of a catch-22. If the data already contains attacks, researchers will train the IDS to see the attacks as normal; the IDS could then fail to register them as malicious events in the future. The most efficient way, however, to determine whether a large data set contains malicious events is to scan it with existing IDS. Thus, any attacks that the existing IDS fails to find are presented to the new IDS as normal data leading to potential false negatives. Clearly, breaking this cycle requires an independent source of verifiable attack-free training data with which to train IDSs.     

隐秘攻击与入侵检测的体系结构

入侵检测系统（IDS）是目前研究的一个热点，IDS从攻吉者的角度来看待系统安全，已经成为安全体系结构中不可缺少的一个环节，但是目前的IDS检测技术还不够成熟，存在一些方法使得攻击者可能绕开IDS的检测，文章探讨了一种所谓的隐秘攻击技术，这种方法用以攻击传统的基于关键字匹配的IDS，然后从如何检测隐秘攻击的角度出发讨论了IDS的安全体系结构。     

基于规划识别的入侵检测研究

规划识别是人工智能的重要研究分支之一,在入侵检测领域中已有初步的应用。本文在介绍规划识别和入侵检测基本概念的基础上,按照规划识别方法分门别类地研究了基于事件层的规划识别、基于贝叶斯网络的规划识别、基于扩展目标规划图的规划识别、彩色Petri网、对手规划、行为状态图等在入侵检测领域的应用现状和进展;接着深入分析了规划识别和入侵检测的关系和相似之处;最后讨论了基于规划识别的入侵检测存在的问题,并指出了未来的发展趋势。本文综述了智能规划在入侵检测中应用的关键技术和存在的问题,研究内容对于相关人员从事入侵检测研究具有重要的参考价值。     

基于SVM主动学习和数据融合的入侵检测系统的研究

入侵检测技术是继＂防火墙＂、＂数据加密＂等传统安全保护措施后的新一代安全保障技术。随着病毒木马越来越猖獗、越来巧妙,人们迫切需要一个既能节约资源方便操作又能保障系统安全性能的入侵检测系统。文章给出了一种与传统入侵检测系统不同的基于SVM主动学习和数据融合的入侵检测系统。在文章中,首先提出了传统入侵检测系统存在的问题和一种新型入侵检测系统的需要,然后回顾了IDS、SVM、主动学习及数据融合的相关背景知识,最后给出新型入侵检测系统的模型及改进的算法实现。     

A comparative evaluation of intrusion detection architectures for mobile ad hoc networks

Mobile Ad Hoc Networks (MANETs) are susceptible to a variety of attacks that threaten their operation and the provided services. Intrusion Detection Systems (IDSs) may act as defensive mechanisms, since they monitor network activities in order to detect malicious actions performed by intruders, and then initiate the appropriate countermeasures. IDS for MANETs have attracted much attention recently and thus, there are many publications that propose new IDS solutions or improvements to the existing. This paper evaluates and compares the most prominent IDS architectures for MANETs. IDS architectures are defined as the operational structures of IDSs. For each IDS, the architecture and the related functionality are briefly presented and analyzed focusing on both the operational strengths and weaknesses. Moreover, methods/techniques that have been proposed to improve the performance and the provided security services of those are evaluated and their shortcomings or weaknesses are presented. A comparison of the studied IDS architectures is carried out using a set of critical evaluation metrics, which derive from: (i) the deployment, architectural, and operational characteristics of MANETs; (ii) the special requirements of intrusion detection in MANETs; and (iii) the carried analysis that reveals the most important strengths and weaknesses of the existing IDS architectures. The evaluation metrics of IDSs are divided into two groups: the first one is related to performance and the second to security. Finally, based on the carried evaluation and comparison a set of design features and principles are presented, which have to be addressed and satisfied in future research of designing and implementing IDSs for MANETs.     

入侵检测系统发展的研究综述

With the fast development of Internet,more and more computer security affairs appear. Researchers have developed many security mechanisms to improve computer security ,including intrusion detection (ID). This paper re-views the history of intrusion detection systems (IDS)and mainstream techniques used in IDS,showing that IDS couldimprove security only provided that it is devised based on the architecture of the target system. From this, we could see the trend of integration of host-oriented ,network-oriented and application-oriented IDSs.