Gabriel Salles-Loustau, R. Berthier, Etienne Collange, Bertrand Sobesto, M. Cukier
{"title":"表征攻击者和攻击:一个实证研究","authors":"Gabriel Salles-Loustau, R. Berthier, Etienne Collange, Bertrand Sobesto, M. Cukier","doi":"10.1109/PRDC.2011.29","DOIUrl":null,"url":null,"abstract":"This paper describes an empirical research study to characterize attackers and attacks against targets of opportunity. A honey net infrastructure was built and deployed over 167 days that leveraged three different honey pot configurations and a SSH-based authentication proxy to attract and follow attackers over several weeks. A total of 211 attack sessions were recorded and evidence was collected at each stage of the attack sequence: from discovery to intrusion and exploitation of rogue software. This study makes two important contributions: 1) we introduce a new approach to measure attacker skills, and 2) we leverage keystroke profile analysis to differentiate attackers beyond their IP address of origin.","PeriodicalId":254760,"journal":{"name":"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Characterizing Attackers and Attacks: An Empirical Study\",\"authors\":\"Gabriel Salles-Loustau, R. Berthier, Etienne Collange, Bertrand Sobesto, M. Cukier\",\"doi\":\"10.1109/PRDC.2011.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an empirical research study to characterize attackers and attacks against targets of opportunity. A honey net infrastructure was built and deployed over 167 days that leveraged three different honey pot configurations and a SSH-based authentication proxy to attract and follow attackers over several weeks. A total of 211 attack sessions were recorded and evidence was collected at each stage of the attack sequence: from discovery to intrusion and exploitation of rogue software. This study makes two important contributions: 1) we introduce a new approach to measure attacker skills, and 2) we leverage keystroke profile analysis to differentiate attackers beyond their IP address of origin.\",\"PeriodicalId\":254760,\"journal\":{\"name\":\"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PRDC.2011.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 17th Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2011.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterizing Attackers and Attacks: An Empirical Study
This paper describes an empirical research study to characterize attackers and attacks against targets of opportunity. A honey net infrastructure was built and deployed over 167 days that leveraged three different honey pot configurations and a SSH-based authentication proxy to attract and follow attackers over several weeks. A total of 211 attack sessions were recorded and evidence was collected at each stage of the attack sequence: from discovery to intrusion and exploitation of rogue software. This study makes two important contributions: 1) we introduce a new approach to measure attacker skills, and 2) we leverage keystroke profile analysis to differentiate attackers beyond their IP address of origin.