Evaluated reputation-based trust for WSN security
During the last years, Wireless Sensor Networks (WSNs) and its applications have obtained considerable momentum. However, security and power limits of WSNs are still important matters. Many existing approaches at most concentrate on cryptography to improve data authentication and integrity but thi...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Little Lion Scientific Islamabad Pakistan
2014
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Subjects: | |
Online Access: | http://irep.iium.edu.my/40461/1/Abdullah__Abu_Osman_Teddy_jatit-8Vol70No3.pdf http://irep.iium.edu.my/40461/ |
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Institution: | Universiti Islam Antarabangsa Malaysia |
Language: | English |
Summary: | During the last years, Wireless Sensor Networks (WSNs) and its applications have obtained considerable
momentum. However, security and power limits of WSNs are still important matters. Many existing
approaches at most concentrate on cryptography to improve data authentication and integrity but this
addresses only a part of the security problem without consideration for high energy consumption.
Monitoring behavior of node neighbors using reputation and trust models improves the security of WSNs
and maximizes the lifetime for it. However, a few of previous studies take into consideration security
threats and energy consumption at the same time. Under these issues Modified Reputation-Based Trust
model proposed and optimized for security strength. During evaluation of the model with well-known
models two security threats (oscillating and collusion) were applied in order to measure the accuracy,
scalability, trustworthiness and energy consumption. As a result, the effects of collusion and oscillating on
proposed model are minimized and energy consumption for dynamic networks reduced. Also, simulation
results show that MRT has better average accuracy and less average path length than other mechanisms,
due to the security and energy aware.
Keywords: Wireless Sensor Networks (WSNs), Collusion, Oscillating, Power Consumption, Trust and
Reputation Models |
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