RT Journal Article
A1 Pinaki Sankar Chatterjee
A1 Monideepa Roy

PB iet
T1 Lightweight cloned-node detection algorithm for efficiently handling SSDF attacks and facilitating secure spectrum allocation in CWSNs
JN IET Wireless Sensor Systems
VO 8
IS 3
SP 121
OP 128
AB Cognitive Wireless Sensor Networks (CWSNs) provide better bandwidth utilization when compared with normal wireless sensor networks. CWSNs use a technique called opportunistic spectrum access for data transfer. While doing so, however, CWSNs are subject to several security threats. The spectrum sensing data falsification attack comes under the DoS attack. In this attack, a malicious node sends a modified spectrum sensing report so that the resulting collaborative spectrum sensing decision becomes wrong and a good cognitive sensor node receives a wrong decision regarding the vacant spectrum band of other's network. In the presence of the node cloning attack, the solution of the SSDF attack becomes even more difficult. In the node cloning attack, the malicious node creates many clones of the compromised node in the network. In order to confuse the collaborative spectrum sensing system, the clone nodes can send false spectrum sensing reports in a large number. The maximum-match filtering (MMF) algorithm is used for making a secure spectrum sensing decision in CWSNs. The Cloned-Node Detection (CND) algorithm is proposed here to detect cloned nodes. This study also explains how the CND algorithm assists the MMF algorithm to make better spectrum sensing decisions by avoiding the node cloning attack.
K1 malicious node
K1 CWSN
K1 DoS attack
K1 collaborative spectrum sensing decision
K1 lightweight cloned-node detection algorithm
K1 node cloning attack
K1 CND algorithm
K1 maximum-match filtering algorithm
K1 cognitive wireless sensor networks
K1 MMF algorithm
K1 denial of service attack
K1 secure spectrum allocation
K1 cloned-node detection algorithm
K1 SSDF attacks
DO https://doi.org/10.1049/iet-wss.2016.0065
UL https://digital-library.theiet.org/;jsessionid=2gov3ul6iolr8.x-iet-live-01content/journals/10.1049/iet-wss.2016.0065
LA English
SN 2043-6386
YR 2018
OL EN