A Large-Scale Study on Vulnerabilities in Linux using Vtopia

被引:0
|
作者
Shao, Yanjie [1 ]
Wu, Yanjun [1 ]
Yang, Mutian [2 ]
Luo, Tianyue [1 ]
Wu, Jingzheng [1 ]
机构
[1] Chinese Acad Sci, Inst Software, Beijing, Peoples R China
[2] Beijing ZhongKeWeiLan Technol Co Ltd, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
study; Linux; operating system; security; vulnerabilities; Vtopia;
D O I
10.1109/QRS-C55045.2021.00157
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
As the controller of software and hardware resources, the operating system is the cornerstone of the normal operation of the entire computer system, and its safety is of utmost importance. Since vulnerabilities are one of the main causes of security problems, in this paper, we choose to study the security of the OS mainly from the perspective of vulnerabilities. To this end, we design a system called Vtopia. By using it, we not only identify and analyze the vulnerabilities of 150 Linux OSes, but also explore the correlation between system security and some other features of Linux. The experiments have yielded many valuable findings. For example, Gentoo system generally has the most vulnerabilities, while illuestar has the least. There is no obvious correlation between the number of software and the number of vulnerabilities in the systems.
引用
收藏
页码:1033 / 1042
页数:10
相关论文
共 50 条
  • [41] The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
    Yu-Feng Yvonne Chan
    Pei Wang
    Linda Rogers
    Nicole Tignor
    Micol Zweig
    Steven G Hershman
    Nicholas Genes
    Erick R Scott
    Eric Krock
    Marcus Badgeley
    Ron Edgar
    Samantha Violante
    Rosalind Wright
    Charles A Powell
    Joel T Dudley
    Eric E Schadt
    [J]. Nature Biotechnology, 2017, 35 : 354 - 362
  • [42] The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
    Chan, Yu-Feng Yvonne
    Wang, Pei
    Rogers, Linda
    Tignor, Nicole
    Zweig, Micol
    Hershman, Steven G.
    Genes, Nicholas
    Scott, Erick R.
    Krock, Eric
    Badgeley, Marcus
    Edgar, Ron
    Violante, Samantha
    Wright, Rosalind
    Powell, Charles A.
    Dudley, Joel T.
    Schadt, Eric E.
    [J]. NATURE BIOTECHNOLOGY, 2017, 35 (04) : 354 - +
  • [43] Large-Scale Clustering Using Mathematical Programming
    Gnagi, Mario
    Baumann, Philipp
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2017, : 789 - 793
  • [45] Large-scale mine visualization using VRML
    Russ, K
    Wetherelt, A
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 1999, 19 (02) : 39 - 44
  • [46] Large-Scale Deduplication with Constraints using Dedupalog
    Arasu, Arvind
    Re, Christopher
    Suciu, Dan
    [J]. ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3, 2009, : 952 - 963
  • [47] Large-scale Optimization Using Immune Algorithm
    Gong, Maoguo
    Jiao, Licheng
    Ma, Wenping
    [J]. WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09), 2009, : 149 - 156
  • [48] Large-Scale System Partitioning using OCS
    Minkenberg, Cyriel
    Rodriguez, German
    Prisacari, Bogdan
    Schares, Laurent
    Heidelberger, Philip
    Chen, Dong
    Stunkel, Craig
    [J]. 2015 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING (PS), 2015, : 235 - 237
  • [49] Large-scale attribute selection using wrappers
    Guetlein, Martin
    Frank, Eibe
    Hall, Mark
    Karwath, Andreas
    [J]. 2009 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING, 2009, : 332 - 339
  • [50] Large-scale Structure in CHILES Using DisPerSE
    Luber, Nicholas
    van Gorkom, H.
    Hess, Kelley M.
    Pisan, D. J.
    Fernandez, Ximena
    Momjian, Emmanuel
    [J]. ASTRONOMICAL JOURNAL, 2019, 157 (06):