Detection of intrusion in wireless sensor networks using ai approach (Record no. 19071)

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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230329083059.0
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fixed length control field 230329b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 17053
Author Periyakaruppan, K.
245 ## - TITLE STATEMENT
Title Detection of intrusion in wireless sensor networks using ai approach
250 ## - EDITION STATEMENT
Volume, Issue number Vol.13(3), Sep
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Chennai
Name of publisher, distributor, etc. ICT Academy
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 2763-2766p.
520 ## - SUMMARY, ETC.
Summary, etc. We were able to solve the problem of discovering K-barriers with
interpretability concerns for use in intrusion detection by collecting
data from wireless sensor networks. This gave us the information we
needed to find a solution. This paper contains the solution that we came
up with. As a result of the results of the suggested model in the paper
being assertive and interpretable in this context, vital information
pertaining to the matter that was being researched could be gathered.
The results were obtained through the process of showing how the
model can be interpreted. The challenge is trying to figure out how
many barriers are required for adequate territorial defense. It is
therefore possible to bring the expenses involved with anticipating and
installing equipment in these regions down to a level that is more
tolerable. The approach that has been offered provides a fresh
perspective on the nature of the underlying issue behavior and is
expected to be of assistance in the distribution of relevant data and
discoveries. Constructing expert systems that are relevant to the subject
matter is doable if one makes use of these fuzzy principles.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4619
Topical term or geographic name entry element EXTC Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 17056
Co-Author Kavitha, M.S.
773 0# - HOST ITEM ENTRY
International Standard Serial Number 0976-0091
Title ICTACT journal on communication technology
Place, publisher, and date of publication Chennai ICT Academy
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://ictactjournals.in/paper/IJCT_Vol_13_Iss_3_Paper_7_2763_2766.pdf
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Engineering & Technology School of Engineering & Technology Archieval Section 2023-03-29 2023-0541 2023-03-29 2023-03-29 Articles Abstract Database
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