Detecting SF attacks in WSNs using CRS-A
In this system, we have proposed a channel-aware reputation system with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. To accurately distinguish selective forwarding attacks from the normal packet loss, CRSA evaluates the forwarding behaviors by the deviation between the estimated normal packet loss and monitored packet loss. To improve the detection accuracy of CRS-A, we have further derived the optimal evaluation threshold of CRS-A in a probabilistic way, which is adaptive to the time-varied channel condition and the attack probabilities of compromised nodes. In addition, a distributed and attack-tolerant data forwarding scheme is developed to collaborate with CRS-A for stimulating the cooperation of compromised nodes and improving the data delivery ratio. Our simulation results show that the proposed CRS-A can achieve a high detection accuracy with low false and missed detection probabilities, and the proposed attacktolerant data forwarding scheme can improve more than 10% data delivery ratio for the network. In our future work, we will extend our investigation into WSNs with mobile sensor nodes, where the detection of selective forwarding attacks becomes more challenging, since the normal packet loss rate is more fluctuant and difficult to estimate due to the mobility of sensor nodes.
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Detecting SF attacks in WSNs using CRS-A
In this system, we have proposed a channel-aware reputation system with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. To accurately distinguish selective forwarding attacks from the normal packet loss, CRSA evaluates the forwarding behaviors by the deviation between the estimated normal packet loss and monitored packet loss. To improve the detection accuracy of CRS-A, we have further derived the optimal evaluation threshold of CRS-A in a probabilistic way, which is adaptive to the time-varied channel condition and the attack probabilities of compromised nodes. In addition, a distributed and attack-tolerant data forwarding scheme is developed to collaborate with CRS-A for stimulating the cooperation of compromised nodes and improving the data delivery ratio. Our simulation results show that the proposed CRS-A can achieve a high detection accuracy with low false and missed detection probabilities, and the proposed attacktolerant data forwarding scheme can improve more than 10% data delivery ratio for the network. In our future work, we will extend our investigation into WSNs with mobile sensor nodes, where the detection of selective forwarding attacks becomes more challenging, since the normal packet loss rate is more fluctuant and difficult to estimate due to the mobility of sensor nodes.
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Detecting SF attacks in WSNs using CRS-A
Detecting SF attacks in WSNs using CRS-A
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Product Details
BN ID: | 2940158826054 |
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Publisher: | Nook Press Barnes & Noble |
Publication date: | 10/14/2017 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 410 KB |
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