1. DSpace at Bharathidasan University
  2. Electronic Theses and Dissertations
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/280
Title: TECHNIQUES TO DETECT RESOURCE ATTACKS IN RPL-BASED INTERNET OF THINGS
Authors: ARUL ANITHA, A.
Keywords: Terminology
Architecture and Applications
Issue Date: May-2022
URI: http://localhost:8080/xmlui/handle/123456789/280
Appears in Collections:Department of Computer Science

Files in This Item:
File Description SizeFormat 
ARUL ANITHA_PH.D_THESIS(CS) -AW- 21.09.22.pdf14.14 MBAdobe PDFView/Open
Show full item record


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