{"title":"面向SIEMs的经济高效的云事件归档","authors":"Adriano Serckumecka, Ibéria Medeiros, Bernardo Ferreira","doi":"10.1109/SRDSW49218.2019.00013","DOIUrl":null,"url":null,"abstract":"Security Information and Event Management (SIEM) systems have been adopted by organizations to enable holistic monitoring of malicious activities in their IT infrastructures. SIEMs receive events from diverse devices of the organization's IT infrastructure (e.g., servers, firewalls, IDS), correlate these events, and present reports for security analysts. Given the large number of events collected by SIEMs, it is costly to store such data for long periods. Since organizations store a relatively limited time-frame of events, the forensic analysis capabilities severely become reduced. This concern limits the organizations' ability to store important information about the past cybersecurity-related activity, limiting forensic analysis. A possible solution for this issue is to leverage public cloud storage services, exploiting their low cost and \"infinite\" scalability. We present SLiCER an archival system for long-term storage that makes use of a multi-cloud-based storage system to guarantee data security and ensures cost-effectiveness by grouping events in blocks and using indexing techniques to recover them. The system was evaluated using a real dataset and the results show that it is significantly more cost-efficient than competing alternatives.","PeriodicalId":297328,"journal":{"name":"2019 38th International Symposium on Reliable Distributed Systems Workshops (SRDSW)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Cost-Effective Cloud Event Archival for SIEMs\",\"authors\":\"Adriano Serckumecka, Ibéria Medeiros, Bernardo Ferreira\",\"doi\":\"10.1109/SRDSW49218.2019.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Security Information and Event Management (SIEM) systems have been adopted by organizations to enable holistic monitoring of malicious activities in their IT infrastructures. SIEMs receive events from diverse devices of the organization's IT infrastructure (e.g., servers, firewalls, IDS), correlate these events, and present reports for security analysts. Given the large number of events collected by SIEMs, it is costly to store such data for long periods. Since organizations store a relatively limited time-frame of events, the forensic analysis capabilities severely become reduced. This concern limits the organizations' ability to store important information about the past cybersecurity-related activity, limiting forensic analysis. A possible solution for this issue is to leverage public cloud storage services, exploiting their low cost and \\\"infinite\\\" scalability. We present SLiCER an archival system for long-term storage that makes use of a multi-cloud-based storage system to guarantee data security and ensures cost-effectiveness by grouping events in blocks and using indexing techniques to recover them. The system was evaluated using a real dataset and the results show that it is significantly more cost-efficient than competing alternatives.\",\"PeriodicalId\":297328,\"journal\":{\"name\":\"2019 38th International Symposium on Reliable Distributed Systems Workshops (SRDSW)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 38th International Symposium on Reliable Distributed Systems Workshops (SRDSW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SRDSW49218.2019.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 38th International Symposium on Reliable Distributed Systems Workshops (SRDSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SRDSW49218.2019.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Security Information and Event Management (SIEM) systems have been adopted by organizations to enable holistic monitoring of malicious activities in their IT infrastructures. SIEMs receive events from diverse devices of the organization's IT infrastructure (e.g., servers, firewalls, IDS), correlate these events, and present reports for security analysts. Given the large number of events collected by SIEMs, it is costly to store such data for long periods. Since organizations store a relatively limited time-frame of events, the forensic analysis capabilities severely become reduced. This concern limits the organizations' ability to store important information about the past cybersecurity-related activity, limiting forensic analysis. A possible solution for this issue is to leverage public cloud storage services, exploiting their low cost and "infinite" scalability. We present SLiCER an archival system for long-term storage that makes use of a multi-cloud-based storage system to guarantee data security and ensures cost-effectiveness by grouping events in blocks and using indexing techniques to recover them. The system was evaluated using a real dataset and the results show that it is significantly more cost-efficient than competing alternatives.