Publication:
Analyzing and searching process of internet username and password stored in Random Access Memory (RAM)

dc.contributor.authorSasithorn Thongjulen_US
dc.contributor.authorSuratose Tritilanunten_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-11-23T10:01:22Z
dc.date.available2018-11-23T10:01:22Z
dc.date.issued2015-01-01en_US
dc.description.abstract© 2015 IEEE. This paper develops a technique to gather and analyze username and password stored in a physical memory or RAM (Random Access Memory). A live memory forensic investigator is able to use this work in order to find the pattern as the 'Searching Criteria' for extending the search to other artifacts. The proposed technique uses a quick search algorithm to find the data in the physical memory. By using a proposed technique to harvest username and password from some popular websites, the experiment has been tested by browsing to social network, webmail, internet banking, and some business online shopping websites. Form the artifacts recovered from the physical memory, we find many useful evidences of username and password that are stored in a plaintext format. Finally, these recover evidences can be linked to other artifact.en_US
dc.identifier.citationProceedings of the 2015 12th International Joint Conference on Computer Science and Software Engineering, JCSSE 2015. (2015), 257-262en_US
dc.identifier.doi10.1109/JCSSE.2015.7219806en_US
dc.identifier.other2-s2.0-84945965141en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/35815
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84945965141&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleAnalyzing and searching process of internet username and password stored in Random Access Memory (RAM)en_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84945965141&origin=inwarden_US

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