Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/18096
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorTiwari, Aruna-
dc.contributor.authorSharmila S P-
dc.date.accessioned2026-04-15T07:48:29Z-
dc.date.available2026-04-15T07:48:29Z-
dc.date.issued2026-03-16-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/18096-
dc.description.abstract[Abstract is restricted for 18 Months, due to IPR related issue]en_US
dc.language.isoenen_US
dc.publisherDepartment of Computer Science and Engineering, IIT Indoreen_US
dc.relation.ispartofseriesTH805;-
dc.subjectComputer Science and Engineeringen_US
dc.titleInvestigations in AI-driven cybersecurity methods for evasive and obfuscated malware detection [RESTRICTED THESIS-18 Months]en_US
dc.typeThesis_Ph.Den_US
Appears in Collections:Department of Computer Science and Engineering_ETD

Files in This Item:
File Description SizeFormat 
Restricted_Thesis.pdf
  Restricted Access
44.65 kBAdobe PDFView/Open Request a copy


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

Altmetric Badge: