Improvement of False Report Detection Performance Based on Invalid Data Detection Using Neural Network in WSN
S. Lim. International Journal of Computer Networks & Communications (IJCNC), 10 (6):
21-34(ноября 2018)
DOI: 10.5121/ijcnc.2018.10602
Аннотация
WSN consists of a number of nodes and base stations and is used for event monitoring in various fields
such as war situations, forest fires, and home networks. WSN sensor nodes are placed in fields that are
difficult for users to manage. It is therefore vulnerable to attackers, and attackers can use false nodes or
MAC injection attacks through the hijacked nodes to reduce the lifetime of the network or trigger false
alarms.
%0 Journal Article
%1 limimprovement
%A Lim, Sanghyeok
%D 2018
%E Natarajan, Meghanathan
%J International Journal of Computer Networks & Communications (IJCNC)
%K Network Protocols
%N 6
%P 21-34
%R 10.5121/ijcnc.2018.10602
%T Improvement of False Report Detection Performance Based on Invalid Data Detection Using Neural Network in WSN
%U http://airccse.org/journal/ijc2018.html
%V 10
%X WSN consists of a number of nodes and base stations and is used for event monitoring in various fields
such as war situations, forest fires, and home networks. WSN sensor nodes are placed in fields that are
difficult for users to manage. It is therefore vulnerable to attackers, and attackers can use false nodes or
MAC injection attacks through the hijacked nodes to reduce the lifetime of the network or trigger false
alarms.
@article{limimprovement,
abstract = {WSN consists of a number of nodes and base stations and is used for event monitoring in various fields
such as war situations, forest fires, and home networks. WSN sensor nodes are placed in fields that are
difficult for users to manage. It is therefore vulnerable to attackers, and attackers can use false nodes or
MAC injection attacks through the hijacked nodes to reduce the lifetime of the network or trigger false
alarms. },
added-at = {2018-12-10T10:47:47.000+0100},
author = {Lim, Sanghyeok},
biburl = {https://www.bibsonomy.org/bibtex/29720e32d3d783a78d76378b38a1d826d/laimbee},
doi = {10.5121/ijcnc.2018.10602},
editor = {Natarajan, Meghanathan},
interhash = {b645b8cc378d901dc15e67e5a9c0d99c},
intrahash = {9720e32d3d783a78d76378b38a1d826d},
issn = {09749322},
journal = {International Journal of Computer Networks & Communications (IJCNC)},
keywords = {Network Protocols},
language = {English},
month = nov,
number = 6,
pages = {21-34},
timestamp = {2018-12-10T10:47:47.000+0100},
title = {Improvement of False Report Detection Performance Based on Invalid Data Detection Using Neural Network in WSN},
url = {http://airccse.org/journal/ijc2018.html},
volume = 10,
year = 2018
}