2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications最新文献_第2页

Towards an Information Asset-Based Defensive Cyber Damage Assessment Process 基于信息资产的防御性网络损害评估流程

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368155

M. Grimaila, L. Fortson

引用次数: 36

Computational Verification of System Architectures 系统架构的计算验证

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368133

A. K. Zaidi, A. Levis

引用次数: 1

ATR Applications in Military Missions ATR在军事任务中的应用

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368131

Ted Wong

引用次数: 2

A Comparison Between Signature and GP-Based IDSs for Link Layer Attacks on WiFi Networks WiFi链路层攻击的签名攻击与gps攻击比较

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368156

A. Makanju, P. LaRoche, A. N. Zincir-Heywood

引用次数: 9

Computationally Derived Models of Adversary Organizations 对手组织的计算衍生模型

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368140

Smriti Kansal, Ashraf M. Abusharekh, A. Levis

引用次数: 9

Anomaly Detection for Application Level Network Attacks Using Payload Keywords 基于负载关键字的应用层网络攻击异常检测

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368151

Like Zhang, G. White

{"title":"Anomaly Detection for Application Level Network Attacks Using Payload Keywords","authors":"Like Zhang, G. White","doi":"10.1109/CISDA.2007.368151","DOIUrl":"https://doi.org/10.1109/CISDA.2007.368151","url":null,"abstract":"Network anomaly intrusion detection is designed to provide in-depth defense against zero-day attacks. However, attacks often occur at the application level, which means they are payload associated. Since traditional anomaly detection works by monitoring packet headers it provides little support for defending against such activities. In this paper, we will explore how the packet payload can be used for identifying application level attacks. First we will discuss the current status of network anomaly detection, and emphasize the importance of payload based detection research using existing problems. Then we provide a brief introduction to several related approaches on this topic. Based on the discussion, an efficient method to detect payload related attacks will then be proposed. The method is divided into a training phase and a detection phase. In the training phase, we will perform principal component analysis (PCA) on several important packet fields to reduce the data dimension, and then construct the most appropriate profile based on the PCA results. In the detection phase, an anomaly score will be assigned to each incoming packet based on the profile. We then present the experiment based on the DARPA '99 dataset with details to explain our approach. Comparison with other similar mechanisms demonstrates the advantage of the proposed method at identifying payload related attacks.","PeriodicalId":403553,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125090786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 24

Computational Intelligence Support for Smart Queries and Adaptive Data 智能查询和自适应数据的计算智能支持

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368138

T. Martin, B. Azvine, Yun Shen

引用次数: 0

An Intelligent Controller for Collaborative Unmanned Air Vehicles 协同无人机的智能控制器

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368146

Gregory L. Sinsley, Jodi A. Miller, L. Long, B. Geiger, A. Niessner, J. Horn

引用次数: 13

Course of Action Analysis in a Cultural Landscape Using Influence Nets 运用影响网进行文化景观中的行动过程分析

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368143

Lee W. Wagenhals, A. Levis

引用次数: 28

Intrusion Detection Model Based On Particle Swarm Optimization and Support Vector Machine 基于粒子群优化和支持向量机的入侵检测模型

2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications Pub Date : 2007-04-01 DOI: 10.1109/CISDA.2007.368152

Surat Srinoy

引用次数: 72