{"title":"Work in Progress - Tracking Correlated Attacks in Enterprise Intranets through Lattices","authors":"Sule Simsek","doi":"10.1109/SECCOMW.2006.359570","DOIUrl":null,"url":null,"abstract":"Tracking attacks caused by correlation between malicious hosts is a rapidly growing research area. In this work-in-progress paper, we propose a lattice-based visualization method to capture the correlation between malicious hosts in an enterprise internal network. We present the design of L-BIDS (lattice-based intrusion detection system) in which the nodes represent the causal and correlated properties of the network messages. In order to track the propagation of a distributed denial of service (DDoS) attack, L-BIDS nodes are highlighted with different colors based on their role within the attack. The colored structure of nodes in an L-BIDS lattice allow us to obtain a concise intrusion signature, therefore, simplifies the tracking of the propagation of the DDoS attack. In our preliminary L-BIDS model, the analysis of the network data is off-line","PeriodicalId":156828,"journal":{"name":"2006 Securecomm and Workshops","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Securecomm and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECCOMW.2006.359570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Tracking attacks caused by correlation between malicious hosts is a rapidly growing research area. In this work-in-progress paper, we propose a lattice-based visualization method to capture the correlation between malicious hosts in an enterprise internal network. We present the design of L-BIDS (lattice-based intrusion detection system) in which the nodes represent the causal and correlated properties of the network messages. In order to track the propagation of a distributed denial of service (DDoS) attack, L-BIDS nodes are highlighted with different colors based on their role within the attack. The colored structure of nodes in an L-BIDS lattice allow us to obtain a concise intrusion signature, therefore, simplifies the tracking of the propagation of the DDoS attack. In our preliminary L-BIDS model, the analysis of the network data is off-line