M. Locasto, Janak J. Parekh, A. Keromytis, S. Stolfo
{"title":"协同安全与P2P入侵检测","authors":"M. Locasto, Janak J. Parekh, A. Keromytis, S. Stolfo","doi":"10.1109/IAW.2005.1495971","DOIUrl":null,"url":null,"abstract":"The increasing array of Internet-scale threats is a pressing problem for every organization that utilizes the network. Organizations have limited resources to detect and respond to these threats. The end-to-end (E2E) sharing of information related to probes and attacks is a facet of an emerging trend toward \"collaborative security\". The key benefit of a collaborative approach to intrusion detection is a better view of global network attack activity. Augmenting the information obtained at a single site with information gathered from across the network can provide a more precise model of an attacker's behavior and intent. While many organizations see value in adopting such a collaborative approach, some challenges must be addressed before intrusion detection can be performed on an inter-organizational scale. We report on our experience developing and deploying a decentralized system for efficiently distributing alerts to collaborating peers. Our system, worminator, extracts relevant information from alert streams and encodes it in bloom filters. This information forms the basis of a distributed watchlist. The watchlist can be distributed via a choice of mechanisms ranging from a centralized trusted third party to a decentralized P2P-style overlay network.","PeriodicalId":252208,"journal":{"name":"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"168","resultStr":"{\"title\":\"Towards collaborative security and P2P intrusion detection\",\"authors\":\"M. Locasto, Janak J. Parekh, A. Keromytis, S. Stolfo\",\"doi\":\"10.1109/IAW.2005.1495971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing array of Internet-scale threats is a pressing problem for every organization that utilizes the network. Organizations have limited resources to detect and respond to these threats. The end-to-end (E2E) sharing of information related to probes and attacks is a facet of an emerging trend toward \\\"collaborative security\\\". The key benefit of a collaborative approach to intrusion detection is a better view of global network attack activity. Augmenting the information obtained at a single site with information gathered from across the network can provide a more precise model of an attacker's behavior and intent. While many organizations see value in adopting such a collaborative approach, some challenges must be addressed before intrusion detection can be performed on an inter-organizational scale. We report on our experience developing and deploying a decentralized system for efficiently distributing alerts to collaborating peers. Our system, worminator, extracts relevant information from alert streams and encodes it in bloom filters. This information forms the basis of a distributed watchlist. The watchlist can be distributed via a choice of mechanisms ranging from a centralized trusted third party to a decentralized P2P-style overlay network.\",\"PeriodicalId\":252208,\"journal\":{\"name\":\"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"168\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAW.2005.1495971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAW.2005.1495971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards collaborative security and P2P intrusion detection
The increasing array of Internet-scale threats is a pressing problem for every organization that utilizes the network. Organizations have limited resources to detect and respond to these threats. The end-to-end (E2E) sharing of information related to probes and attacks is a facet of an emerging trend toward "collaborative security". The key benefit of a collaborative approach to intrusion detection is a better view of global network attack activity. Augmenting the information obtained at a single site with information gathered from across the network can provide a more precise model of an attacker's behavior and intent. While many organizations see value in adopting such a collaborative approach, some challenges must be addressed before intrusion detection can be performed on an inter-organizational scale. We report on our experience developing and deploying a decentralized system for efficiently distributing alerts to collaborating peers. Our system, worminator, extracts relevant information from alert streams and encodes it in bloom filters. This information forms the basis of a distributed watchlist. The watchlist can be distributed via a choice of mechanisms ranging from a centralized trusted third party to a decentralized P2P-style overlay network.