Trust Based Selective Forwarding Attacks using Channel Aware Approach in Wireless Mesh Networks
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@Article{JICS-7-296,
author = {Anand Nayyar},
title = {Trust Based Selective Forwarding Attacks using Channel Aware Approach in Wireless Mesh Networks},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {7},
number = {4},
pages = {296--302},
abstract = { This Research Paper introduces a channel aware detection (CAD) algorithm that can effectively
identify the selective forwarding misbehavior from the normal channel losses. It is a special case of denial of
service (DoS) attack in wireless mesh networks (WMNs) known as selective forwarding attack .The CAD
algorithm is based on two strategies. With such an attack, a misbehaving mesh router just forwards a subset
of packets it receives but drops the others. Channel estimation is the procedure to estimate the normal loss
rate due to bad channel quality or medium access collision. Traffic monitoring is to monitor the actual loss
rate, if the monitored loss rate at certain hops exceeds the estimated loss rate, those nodes involved will be
identified as attackers. To determine the optimal detection thresholds that minimizes the summation of false
alarm and missed detection probabilities. In this work the system is free from collision or jamming attacks,
when an attacker introduces noise to simulate a noisy channel, it indeed affects the sensing process which in
turn leads to inaccurate threshold. This project uses CAD approach to demonstrate the efficiency of
discriminating selective forwarding attacks from normal channel losses through extensive computer
simulations.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22636.html}
}
TY - JOUR
T1 - Trust Based Selective Forwarding Attacks using Channel Aware Approach in Wireless Mesh Networks
AU - Anand Nayyar
JO - Journal of Information and Computing Science
VL - 4
SP - 296
EP - 302
PY - 2024
DA - 2024/01
SN - 7
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22636.html
KW - Wireless Mesh Network, Selective forwarding attack, Gray Hole Attack, Channel Aware
Detection, Optimal Detection threshold.
AB - This Research Paper introduces a channel aware detection (CAD) algorithm that can effectively
identify the selective forwarding misbehavior from the normal channel losses. It is a special case of denial of
service (DoS) attack in wireless mesh networks (WMNs) known as selective forwarding attack .The CAD
algorithm is based on two strategies. With such an attack, a misbehaving mesh router just forwards a subset
of packets it receives but drops the others. Channel estimation is the procedure to estimate the normal loss
rate due to bad channel quality or medium access collision. Traffic monitoring is to monitor the actual loss
rate, if the monitored loss rate at certain hops exceeds the estimated loss rate, those nodes involved will be
identified as attackers. To determine the optimal detection thresholds that minimizes the summation of false
alarm and missed detection probabilities. In this work the system is free from collision or jamming attacks,
when an attacker introduces noise to simulate a noisy channel, it indeed affects the sensing process which in
turn leads to inaccurate threshold. This project uses CAD approach to demonstrate the efficiency of
discriminating selective forwarding attacks from normal channel losses through extensive computer
simulations.
Anand Nayyar. (2024). Trust Based Selective Forwarding Attacks using Channel Aware Approach in Wireless Mesh Networks.
Journal of Information and Computing Science. 7 (4).
296-302.
doi:
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