Cited time in webofscience Cited time in scopus

Full metadata record

DC Field Value Language
dc.contributor.advisor 이성진 -
dc.contributor.author Youngdon Jung -
dc.date.accessioned 2019-08-22T16:01:55Z -
dc.date.available 2019-08-22T16:01:55Z -
dc.date.issued 2019 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000219670 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/10484 -
dc.description Solid-State Drive, Recovery Data, Detect Ransomware -
dc.description.statementofresponsibility prohibition -
dc.description.tableofcontents Abstract ..........................................................................................................i
List of contents................................................................................................ii

Ⅰ. INTRODUCTION ................................................................................... 1
Ⅱ. Classification of prior defense systeMaster ................................................... 2
2.1 Ransomware detection techniques ........................................................ 2
2.2 Data recovery techniques .................................................................... 3
2.3 Summary ............................................................................................... 4
Ⅲ. Design of SSD-Insider++ ......................................................................... 6
3.1 Ransomware detection module ........................................................... 6
3.2 Backup/Recovery module .................................................................... 7
Ⅳ. In-Storage Ransomware detection ............................................................ 9
4.1 Invariant features of Ransomware ..................................................... 10
4.2 Applicability to out-of-place update Ransomware ......................... 12
4.3 Ransomware detection algorithm ..................................................... 14
Ⅴ. In-Storage data recovery ........................................................................... 16
5.1 Online backup and instant recovery ............................................... 16
5.2 Lazy detection .................................................................................... 19
Ⅵ. Implementation of SSD-Insider++ ......................................................... 22
Ⅶ. Experimental results .............................................................................. 23
7.1 Ransomware data sets ...................................................................... 23
7.2 Evaluation of detection algorithm ................................................... 24
7.3 Evaluation of recovery algorithm ................................................... 28
7.4 Overhead evaluation ......................................................................... 31
Ⅷ. Conclusion ................................................................................................ 33
References ......................................................................................................... 34
-
dc.format.extent 35 -
dc.language eng -
dc.publisher DGIST -
dc.source /home/dspace/dspace53/upload/200000219670.pdf -
dc.title SSD-Insider++: SSD-Assisted RaMasteromware Defense and Data Recovery -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000219670 -
dc.description.degree Master -
dc.contributor.department Department of Information and Communication Engineering -
dc.contributor.coadvisor Daehoon Kim -
dc.date.awarded 2019-08 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.IM 정64 201908 -
dc.date.accepted 2019-07-01 -
dc.contributor.alternativeDepartment 정보통신융합전공 -
dc.embargo.liftdate 2021-07-02 -
dc.contributor.affiliatedAuthor Lee, Sungjin -
dc.contributor.affiliatedAuthor Kim, Daehoon -
dc.contributor.affiliatedAuthor Jung, Youngdon -
dc.contributor.alternativeName Sungjin Lee -
dc.contributor.alternativeName 정영돈 -
dc.contributor.alternativeName 김대훈 -
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Department of Electrical Engineering and Computer Science Theses Master

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE