A method and tool to recover data deleted from a MongoDB
作者: Jongseong YoonSangjin Lee
作者单位: 1Center for Information Security Technologies (CIST), Korea University, Anam-Dong, Seongbuk-Gu, Seoul, Republic of Korea
刊名: Digital Investigation, 2018, Vol.24 , pp.106-120
来源数据库: Elsevier Journal
DOI: 10.1016/j.diin.2017.11.001
关键词: MongoDBRecovery of deleted data from databaseNoSQL database forensicsDatabase forensics
英文摘要: Abstract(#br)DBMS stores an important data, which is one of the important analytical subjects for analysis in digital forensics. The technique of recovering deleted data from the DBMS plays an important role in finding the evidence in forensic investigation cases. Although relational DBMS is used as important data storage until now, NoSQL DBMSs is used more often due to the growing pursue of Big Data. This increases the potential to analyze a NoSQL DMBS in forensic cases. In reality, data from approximately 26,000 servers has been deleted by a massive ransom attack on vulnerable MongoDB server. Therefore, investigation of internal structure analysis and deleted data recovery techniques of NoSQL DBMS is essential.(#br)In this paper, we research the recovery method on deleted data in...
全文获取路径: Elsevier  (合作)
影响因子:0.63 (2012)

  • recover 挽回
  • deleted 删除
  • method 方法