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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 2, 2021.
Abstract: Securing the routing process against attacks in wireless sensor network (WSN) is a vital factor to ensure the reliability of the network. In the existing system, a secure attack resilient routing for WSN using zone-based topology is proposed against message drops, message tampering and flooding attacks. The secure attack resilient routing provides a protection against attacks by skipping the routing towards less secure zones. However, the existing work did not consider the detection and isolation of the malicious nodes in the zone based wireless sensor network. To solve this issue, we proposed enhanced attack resilient routing by detecting malicious zones and isolating the malicious nodes. We proposed a three-tire framework by adopting sequential probability test to detect and isolate malicious nodes. Attacker information is shared in a secure manner in the network, so that routing selection decision can be made locally in addition to attack resiliency route selection provided at the sink. Overhearing rate is calculated for all nodes in each zone to detect blackhole attackers. Simulation results shows that the proposed Three Tier Frame work provides more security, reduced network overhead and improved Packet delivery ratio in WSNs by comparing with the existing works.
Venkateswara Rao M and Srinivas Malladi, “Secure Intruder Information Sharing in Wireless Sensor Network for Attack Resilient Routing” International Journal of Advanced Computer Science and Applications(IJACSA), 12(2), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120263
@article{M2021,
title = {Secure Intruder Information Sharing in Wireless Sensor Network for Attack Resilient Routing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120263},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120263},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {2},
author = {Venkateswara Rao M and Srinivas Malladi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.