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【学术讲座预告】——动态插值知识建模及其在网络安全中的应用
发布时间:2020-01-02

一、讲者简介

申强教授具有计算机与电气工程博士学位和计算智能科学博士学位(英国荣誉学位),是阿伯里斯特威斯(简称亚伯)大学的副校长、计算机科学专业的首席教授。申教授是英国皇家威尔士科学院院士、英国国家研究卓越框架(2008-2014和2014-2021)综合评估委员会委员,是所有各学科评估委员会中仅有的两位连续两届担任评委这一重要角色的华人学者之一。他是英国计算智能研究的指导委员会主席,数篇国际顶级学术期刊常任副主编或编委,众多国际学术会议主席或特邀大会主题报告人。

申教授目前的研究兴趣包括:计算智能,不确定性下的学习和推理,模式识别,数据建模和分析及其在智能决策支持中的应用(例如,太空探索,犯罪侦查,消费者分析,系统监控和医疗诊断)。他撰写了2篇研究专着和400多篇同行评审论文(其中1篇获IEEE杰出期刊论文奖)。他曾担任60多个博士后/博士生的第一导师(含全英最佳博士论文获得者1名)。申教授是2012年伦敦奥运会代表计算机界为纪念计算机科学与人工智能的创始人阿伦图灵诞辰一百周年的火炬手。

 

二、摘要 

   Application of fuzzy rule-based interpolation (FRI) has been escalating for making intelligent systems viable in solving many challenging real-world problems. However, requirements of such systems may change over time and the supporting static rule models may not be able to provide accurate interpolation results in the long run. Dynamic fuzzy rule interpolation (D-FRI) offers a potential solution to such problems. A particular application is for network security that is often one of the biggest concerns of any organisation irrespective of their size and nature of business.

Intrusion detection systems (IDSs) are a popular and effective security tool for generating alerts to network administrators, in order to inform against possible or existing threats. A standard IDS may be not very effective or even unsuitable for an organisational requirements over a sustained period. This talk will present an application of D-FRI for building an effective IDS. In particular, it will introduce an intelligent IDS that is built upon the most popular open source IDS, Snort via integration with D-FRI. The talk will illustrate how the integration of D-FRI with Snort provides an additional level of intelligence in predicting possible threats. This integration also facilitates dynamic modelling, in terms of a dynamic fuzzy rule base, by promoting new rules based on the current network traffic conditions, helping Snort to reduce both false positives and false negatives. The talk will also cover other applications of D-FRI in network security and thoughts for further development.

 

三、主办单位 

科研处、计算机与控制工程学院

 

四、承办单位

    福建省信息处理与智能控制重点实验室 

 

五、协办单位

数字福建智能化生产物联网实验室

电子信息与控制工程研究中心

工业机器人应用福建省高校工程研究中心

福州市机器人技术应用联合实验室

闽江学院互联网创新研究中心

闽江学院汇川科技物联网联合研究院

闽江学院计算机与控制技术研究所

闽江学院2011协同创新培育点“物联网技术与智能系统”