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Incident Detection Based on Differential Analysis
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作者 Mohammed Ali Elseddig Mohamed Mejri 《Journal of Information Security》 2024年第3期378-409,共32页
Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant ... Internet services and web-based applications play pivotal roles in various sensitive domains, encompassing e-commerce, e-learning, e-healthcare, and e-payment. However, safeguarding these services poses a significant challenge, as the need for robust security measures becomes increasingly imperative. This paper presented an innovative method based on differential analyses to detect abrupt changes in network traffic characteristics. The core concept revolves around identifying abrupt alterations in certain characteristics such as input/output volume, the number of TCP connections, or DNS queries—within the analyzed traffic. Initially, the traffic is segmented into distinct sequences of slices, followed by quantifying specific characteristics for each slice. Subsequently, the distance between successive values of these measured characteristics is computed and clustered to detect sudden changes. To accomplish its objectives, the approach combined several techniques, including propositional logic, distance metrics (e.g., Kullback-Leibler Divergence), and clustering algorithms (e.g., K-means). When applied to two distinct datasets, the proposed approach demonstrates exceptional performance, achieving detection rates of up to 100%. 展开更多
关键词 IDS SOC SIEM kl-divergence K-Mean Clustering Algorithms Elbow Method
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文献检索与基于影响的摘要系统设计与实现 被引量:1
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作者 陈羽中 李峰 +2 位作者 毛先领 何靖 闫宏飞 《广西师范大学学报(自然科学版)》 CAS 北大核心 2010年第1期135-138,共4页
构建了一种新型文献检索系统,能够摘要一篇文献中引起读者研究工作关注的那些内容,并返回读者对这些内容的评论,从而帮助用户快速了解该文献的学术价值及不足之处等重要信息。利用文献间的引用关系从其他文献中找到指向一篇文献的评论... 构建了一种新型文献检索系统,能够摘要一篇文献中引起读者研究工作关注的那些内容,并返回读者对这些内容的评论,从而帮助用户快速了解该文献的学术价值及不足之处等重要信息。利用文献间的引用关系从其他文献中找到指向一篇文献的评论上下文,借鉴查询-检索模式,将评论转化为一元语言模型所生成的查询,并将原文献划分为句子所构成的文档集,基于KL-divergence检索模型找到原文献中与评论对应的句子。选取得分最高的若干句子构成体现原文献对外影响的摘要。系统基于北京大学研制的智能搜索引擎平台Platform for Applying,Researching And Developing Intelligent Search Engine(PARADISE),具有快速构建可扩展好的优点。 展开更多
关键词 文献检索 评论上下文 基于影响的摘要PARADISE kl-divergence算法
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