This article introduces Human–Computer Interaction Laboratory(HCIL)established at Seoul National University,Korea,in 2009.We first summarized the history of foundation,achievement,and collaboration for the last 10 ye...This article introduces Human–Computer Interaction Laboratory(HCIL)established at Seoul National University,Korea,in 2009.We first summarized the history of foundation,achievement,and collaboration for the last 10 years.Then,we delineated our current research directions related to information visualization.Finally,we presented our facilities and equipment to adequately support the research.展开更多
Audit logs are different from other software logs in that they record the most primitive events(i.e.,system calls)in modem operating systems.Audit logs contain a detailed trace of an operating system,and thus have rec...Audit logs are different from other software logs in that they record the most primitive events(i.e.,system calls)in modem operating systems.Audit logs contain a detailed trace of an operating system,and thus have received great attention from security experts and system administrators.However,the complexity and size of audit logs,which increase in real time,have hindered analysts from understanding and analyzing them.In this paper,we present a novel visual analytics system,LongLine,which enables interactive visual analyses of large-scale audit logs.LongLine lowers the interpretation barrier of audit logs by employing human-understandable representations(e.g.,file paths and commands)instead of abstract indicators of operating systems(e.g.,file descriptors)as well as revealing the temporal patterns of the logs in a multi-scale fashion with meaningful granularity of time in mind(e.g.,hourly,daily,and weekly).LongLine also streamlines comparative analysis between interesting subsets of logs,which is essential in detecting anomalous behaviors of systems.In addition,LongLine allows analysts to monitor the system state in a streaming fashion,keeping the latency between log creation and visualization less than one minute.Finally,we evaluate our system through a case study and a scenario analysis with security experts.展开更多
Welcome to the special issue on Pac迅cVAST 2018,held on 10 April 2018 in Kobe,Japan.PacificVAST has been held annually since 2013 as an international workshop on visual analytics in conjunction with IEEE PacificVis sy...Welcome to the special issue on Pac迅cVAST 2018,held on 10 April 2018 in Kobe,Japan.PacificVAST has been held annually since 2013 as an international workshop on visual analytics in conjunction with IEEE PacificVis symposia.Visual analytics(VA)is a discipline concerned with science and technology for analytical reasoning supported by interactive visual interfaces.Breaking from the process of the past five years of inviting prominent researchers to share their state-of-the-art research and development results,PacificVAST this year launches a new publishing model intended to foster a stronger VA community in the Asia-Pacific region:All accepted,original papers are published in a special issue of the Elsevier Journal of Visual Informatics on the day of the workshop.展开更多
基金This work was supported in part by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2019R1A2C2089062).
文摘This article introduces Human–Computer Interaction Laboratory(HCIL)established at Seoul National University,Korea,in 2009.We first summarized the history of foundation,achievement,and collaboration for the last 10 years.Then,we delineated our current research directions related to information visualization.Finally,we presented our facilities and equipment to adequately support the research.
基金This work was supported by the National Research Foundation of Korea(NRF)grant funded by the Korea govem-ment(MSIP)(No.NRF-2016R1A2B2007153)by the Han-kuk University of Foreign Studies Research Fund.
文摘Audit logs are different from other software logs in that they record the most primitive events(i.e.,system calls)in modem operating systems.Audit logs contain a detailed trace of an operating system,and thus have received great attention from security experts and system administrators.However,the complexity and size of audit logs,which increase in real time,have hindered analysts from understanding and analyzing them.In this paper,we present a novel visual analytics system,LongLine,which enables interactive visual analyses of large-scale audit logs.LongLine lowers the interpretation barrier of audit logs by employing human-understandable representations(e.g.,file paths and commands)instead of abstract indicators of operating systems(e.g.,file descriptors)as well as revealing the temporal patterns of the logs in a multi-scale fashion with meaningful granularity of time in mind(e.g.,hourly,daily,and weekly).LongLine also streamlines comparative analysis between interesting subsets of logs,which is essential in detecting anomalous behaviors of systems.In addition,LongLine allows analysts to monitor the system state in a streaming fashion,keeping the latency between log creation and visualization less than one minute.Finally,we evaluate our system through a case study and a scenario analysis with security experts.
文摘Welcome to the special issue on Pac迅cVAST 2018,held on 10 April 2018 in Kobe,Japan.PacificVAST has been held annually since 2013 as an international workshop on visual analytics in conjunction with IEEE PacificVis symposia.Visual analytics(VA)is a discipline concerned with science and technology for analytical reasoning supported by interactive visual interfaces.Breaking from the process of the past five years of inviting prominent researchers to share their state-of-the-art research and development results,PacificVAST this year launches a new publishing model intended to foster a stronger VA community in the Asia-Pacific region:All accepted,original papers are published in a special issue of the Elsevier Journal of Visual Informatics on the day of the workshop.
