| dc.creator |
Kibirige, George W. |
|
| dc.creator |
Sanga, Camilius |
|
| dc.date |
2022-05-17T09:15:28Z |
|
| dc.date |
2022-05-17T09:15:28Z |
|
| dc.date |
2008 |
|
| dc.date.accessioned |
2022-10-25T08:53:04Z |
|
| dc.date.available |
2022-10-25T08:53:04Z |
|
| dc.identifier |
https://www.suaire.sua.ac.tz/handle/123456789/4139 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/93318 |
|
| dc.description |
Wireless Sensor Network (WSN) consists of large
number of low-cost, resource-constrained sensor
nodes. The constraints of the wireless sensor node is
their characteristics which include low memory, low
computation power, they are deployed in hostile area
and left unattended, small range of communication
capability and low energy capabilities. Base on those
characteristics makes this network vulnerable to
several attacks, such as sinkhole attack. Sinkhole
attack is a type of attack were compromised node
tries to attract network traffic by advertise its fake
routing update. One of the impacts of sinkhole attack
is that, it can be used to launch other attacks like
selective forwarding attack, acknowledge spoofing
attack and drops or altered routing information. It
can also used to send bogus information to base
station. This paper is focus on exploring and
analyzing the existing solutions which used to detect
and identify sinkhole attack in wireless sensor
network. The analysis is based on advantages and
limitation of the proposed solutions. |
|
| dc.format |
application/pdf |
|
| dc.language |
en |
|
| dc.subject |
Wireless sensor network (WSN), |
|
| dc.subject |
Sinkhole attack |
|
| dc.subject |
Detection of sinkhole attack |
|
| dc.title |
A survey on detection of Sinkhole attack in wireless sensor network |
|
| dc.type |
Article |
|