• Title/Summary/Keyword: NoSQL Database Forensics

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Digital Forensic Investigation of MongoDB (MongoDB에 대한 디지털 포렌식 조사 기법 연구)

  • Yoon, Jong-Seong;Jung, Doo-Won;Kang, Chul-Hoon;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.1
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    • pp.123-134
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    • 2014
  • As the data gets bigger recently, the demand for relational database management system (RDBMS) and NoSQL DBMS to process big data has been increased consistently. The digital forensic investigation method for RDBMS has been studied actively, but that for NoSQL DBMS, which is popularly used nowadays, has almost no research. This paper proposes the digital forensic investigation process and method for MongoDB, the most popularly used among NoSQL DBMS.

Digital Forensics Investigation of Redis Database (Redis 데이터베이스에 대한 디지털 포렌식 조사 기법 연구)

  • Choi, Jae Mun;Jeong, Doo Won;Yoon, Jong Seong;Lee, Sang Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.5
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    • pp.117-126
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    • 2016
  • Recently, increasing utilization of Big Data or Social Network Service involves the increases in demand for NoSQL Database that overcomes the limitations of existing relational database. A forensic examination of Relational Database has steadily researched in terms of Digital Forensics. In contrast, the forensic examination of NoSQL Database is rarely studied. In this paper, We introduce Redis (which is) based on Key-Value Store NoSQL Database, and research the collection and analysis of forensic artifacts then propose recovery method of deleted data. Also we developed a recovery tool, it will be verified our recovery algorithm.