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基于案例推理的入侵检测关联分析研究 总被引:1,自引:0,他引:1
针对基于规则和模型的入侵检测专家系统中难以建立和表达入侵检测规则的问题,利用基于案例推理(CBR)方法对知识要求的低依赖性,将它引入入侵检测(ID)领域,提出了基于案例推理的入侵检测关联分析(CBRIDRA)模型的框架,研究了系统各功能模块,并对其中攻击案例定义、攻击案例检索、攻击案例管理、专家知识系统等关键技术的解决思路和实现方法进行了讨论。 相似文献
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伴随着网络的应用普及,网络安全问题也不断表现出来。在防火墙、认证技术等传统安防技术日趋成熟的同时,作为主动防御技术之一的入侵检测技术为网络安全提供了新的有力的支持。在如前检测识别过程中引入基于知识的、有自学习能力的案例推理机制,能够为网络管理者提供可靠的、有针对性的入侵响应处理方法。 相似文献
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伴随着网络的应用普及,网络安全问题也不断表现出来。在防火墙、认证技术等传统安防技术日趋成熟的同时,作为主动防御技术之一的入侵检测技术为网络安全提供了新的有力的支持。在如前检测识别过程中引入基于知识的、有自学习能力的案例推理机制,能够为网络管理者提供可靠的、有针对性的入侵响应处理方法。 相似文献
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入侵检测技术作为一种新的安全手段,正越来越受到重视.本文提出了一种将CBR技术引入到网络入侵检测系统中的设计思路.CBR技术的实施要点在于案例表示、案例索引和案例修正这几个环节.本文使用XML语言描述网络入侵检测案例的结构,为进一步的研究提供了很好的借鉴价值. 相似文献
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In attempting to build intelligent litigation support tools, we have moved beyond first generation, production rule legal expert systems. Our work integrates rule based and case based reasoning with intelligent information retrieval.When using the case based reasoning methodology, or in our case the specialisation of case based retrieval, we need to be aware of how to retrieve relevant experience. Our research, in the legal domain, specifies an approach to the retrieval problem which relies heavily on an extended object oriented/rule based system architecture that is supplemented with causal background information. We use a distributed agent architecture to help support the reasoning process of lawyers.Our approach to integrating rule based reasoning, case based reasoning and case based retrieval is contrasted to the CABARET and PROLEXS architectures which rely on a centralised blackboard architecture. We discuss in detail how our various cooperating agents interact, and provide examples of the system at work. The IKBALS system uses a specialised induction algorithm to induce rules from cases. These rules are then used as indices during the case based retrieval process.Because we aim to build legal support tools which can be modified to suit various domains rather than single purpose legal expert systems, we focus on principles behind developing legal knowledge based systems. The original domain chosen was theAccident Compensation Act 1989 (Victoria, Australia), which relates to the provision of benefits for employees injured at work. For various reasons, which are indicated in the paper, we changed our domain to that ofCredit Act 1984 (Victoria, Australia). This Act regulates the provision of loans by financial institutions.The rule based part of our system which provides advice on the Credit Act has been commercially developed in conjunction with a legal firm. We indicate how this work has lead to the development of a methodology for constructing rule based legal knowledge based systems. We explain the process of integrating this existing commercial rule based system with the case base reasoning and retrieval architecture. 相似文献
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范例推理是人工智能中重要的推理方法和机器学习技术,它也是智能系统中实用的技术之一。基于范例的决策是决策者认知心理的决策过程的一个合理描述,它提供了一种实现智能系统及决策的现实环境和技术方法。本文提出了基于范例推理的智能决策技术,给出应用模型,并进行了深入讨论。 相似文献
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将Multi-Agent技术应用于信息系统案例检索中,结合CBR技术与Web Service思想,提出了基于CBR的信息系统案例检索多Agent系统的模型框架和运作流程,设计了基于智能聚类的案例检索算法,通过神经网络的自组织学习优化案例检索的过程,使得该多Agent系统成为具有高度自治性的自我学习与完善的系统,为信息系统案例检索系统的研究与开发提供了一定的借鉴. 相似文献
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智能地理信息系统的开发与研究 总被引:2,自引:0,他引:2
介绍了一个面向电网发展规划的智能地理信息系统的设计与开发 ,对系统功能及实现进行了详细的阐述 ,探讨了其中的关键技术 ,并研究了新一代地理信息系统结构及技术 相似文献
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Case‐based reasoning (CBR) is the area of artificial intelligence where problems are solved by adapting solutions that worked for similar problems from the past. This technique can be applied in different domains and with different problem representations. In this paper, a system curve base generator (CuBaGe) is presented. This framework is designed to be a domain‐independent prediction system for the analysis and prediction of curves and time‐series trends, based on the CBR technology. CuBaGe employs a novel curve representation method based on splines and a corresponding similarity function based on definite integrals. This combination of curve representation and similarity measure showed excellent results with sparse and non‐equidistant time series, which is demonstrated through a set of experiments. Copyright © 2008 John Wiley & Sons, Ltd. 相似文献
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针对现有政府知识管理系统的局限性和政府知识管理的复杂性,采用面向多Agent的系统设计方法,设计了一个基于多Agent的政府知识管理系统模型,给出了系统模型实现的一些关键技术.该模型由多个Agent来协同实现政府知识的异构整合、知识推送、知识利用等服务,以满足政务知识管理的异构知识集成、智能化决策、个性化服务等实际需求. 相似文献
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基于范例推理的税收案例分析系统设计 总被引:2,自引:1,他引:1
基于范例推理技术是专家系统实用而成熟的技术。对税收案例分析而言,其应用在实用性方面优于基于规则的系统。提出基于范例推理技术和应用XML来表示和搜索范例,应用数据仓库构建税收案例分析系统,详细介绍了系统的基于范例推理流程、相似性度量函数、范例相似匹配方法及范例维护的设计思路和实现步骤。利用基于范例推理技术,大大提高了系统的“智能”性和实际功能,在实际应用中产生了较好的经济效益和社会效益。 相似文献
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基于神经索引实例与知识推理的混合型智能CAPP策略 总被引:3,自引:2,他引:3
提出了一种新的基于耦合神经网络实例与知识的混合推理策略,采用面向对象的方法表达实例和知识,将神经索引模型引入实例推理中,在此基础上实现了CAPP的变异设计。同时,建立了基于零件及其工艺数据知识的分层知识表达与层次式推理机制,从而实现了CAPP的创成式设计。在给出这种知识化的CAPP系统的总体结构之后,详细讨论了基于神经网络的实例索引模型及实例推理和知识基推理的实现过程,由于吸收了派生法的类比设计思 相似文献