Publication:
Research and Develop the Apt Defense from Attack System Using Sandbox Technique

datacite.subject.fos oecd::Natural sciences::Computer and information sciences
dc.contributor.author Lý Hải Sơn
dc.contributor.author Đỗ Thanh Tùng
dc.contributor.author Trần Thị Yến Nhi
dc.date.accessioned 2022-10-17T03:46:54Z
dc.date.available 2022-10-17T03:46:54Z
dc.date.issued 2022
dc.description.abstract Advanced Persistent Threat is an insidious, persistent, and with a specific aim attack into a target system. According to statistics in Vietnam and the world, many APT attacks cause significant negative effects. Therefore it is crucial to find a solution to combat these attacks. This thesis will give a comprehensive introduction about APT attacks; their specific features; preventative measures; malware analysis and its technique, static analysis technique; sandboxing technique; automatic analysis and report about malware behaviors without human intervention; and suggest an integrated model solution that detects and prevents APT using sandboxing technique. Through installation trials, the thesis proves that the sandboxing technique can analyze and detect malware behaviors on the system.
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/290
dc.language.iso en_US
dc.relation.ispartof International Journal of Science and Research (IJSR)
dc.relation.issn 2319-7064
dc.subject APT
dc.subject Sandbox
dc.subject Sandboxing
dc.title Research and Develop the Apt Defense from Attack System Using Sandbox Technique
dc.type Resource Types::text::journal::journal article
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
AS65.pdf
Size:
857.93 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: