The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks
Many studies have shown that clustered Wireless Sensor Networks (WSNs) have a better performance in terms of the balance of energy and lifetime. However, due to the harsh environment and open communication, the clustered WSNs are easy to be attacked. The selective forwarding attack is one of the mos...
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doaj-6e83bc063cd942cab2f06b688bbfde1d2021-03-30T14:50:21ZengIEEEIEEE Access2169-35362021-01-019209542096710.1109/ACCESS.2021.30550269336640The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor NetworksJingze Ding0https://orcid.org/0000-0002-8423-5864Haotian Zhang1https://orcid.org/0000-0002-1461-0200Zixian Guo2https://orcid.org/0000-0002-4895-3439Yuanming Wu3https://orcid.org/0000-0002-2927-0034School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaMany studies have shown that clustered Wireless Sensor Networks (WSNs) have a better performance in terms of the balance of energy and lifetime. However, due to the harsh environment and open communication, the clustered WSNs are easy to be attacked. The selective forwarding attack is one of the most difficult attacks to be detected. When a malicious sensor node launches the selective forwarding attacks, it drops part of or all the data packets it received. In this paper, we propose a Noise-Based Density Peaks Clustering (NB-DPC) algorithm for detecting selective forwarding attacks. It can detect selective forwarding attacks by clustering the Cumulative Forwarding Rates (CFRs) of all sensor nodes. The NB-DPC algorithm has been improved by defining noise points specifically for identifying malicious behavior and deleting the unnecessary steps in Density Peaks Clustering (DPC) for faster detection speed. The NB-DPC has a low Missed Detection Rate (MDR) and False Detection Rate (FDR) of below 1% according to the simulation results.https://ieeexplore.ieee.org/document/9336640/Clustered wireless sensor networksselective forwarding attackscumulative forwarding ratenoise-based density peaks clustering |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jingze Ding Haotian Zhang Zixian Guo Yuanming Wu |
spellingShingle |
Jingze Ding Haotian Zhang Zixian Guo Yuanming Wu The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks IEEE Access Clustered wireless sensor networks selective forwarding attacks cumulative forwarding rate noise-based density peaks clustering |
author_facet |
Jingze Ding Haotian Zhang Zixian Guo Yuanming Wu |
author_sort |
Jingze Ding |
title |
The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks |
title_short |
The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks |
title_full |
The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks |
title_fullStr |
The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks |
title_full_unstemmed |
The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks |
title_sort |
dpc-based scheme for detecting selective forwarding in clustered wireless sensor networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
Many studies have shown that clustered Wireless Sensor Networks (WSNs) have a better performance in terms of the balance of energy and lifetime. However, due to the harsh environment and open communication, the clustered WSNs are easy to be attacked. The selective forwarding attack is one of the most difficult attacks to be detected. When a malicious sensor node launches the selective forwarding attacks, it drops part of or all the data packets it received. In this paper, we propose a Noise-Based Density Peaks Clustering (NB-DPC) algorithm for detecting selective forwarding attacks. It can detect selective forwarding attacks by clustering the Cumulative Forwarding Rates (CFRs) of all sensor nodes. The NB-DPC algorithm has been improved by defining noise points specifically for identifying malicious behavior and deleting the unnecessary steps in Density Peaks Clustering (DPC) for faster detection speed. The NB-DPC has a low Missed Detection Rate (MDR) and False Detection Rate (FDR) of below 1% according to the simulation results. |
topic |
Clustered wireless sensor networks selective forwarding attacks cumulative forwarding rate noise-based density peaks clustering |
url |
https://ieeexplore.ieee.org/document/9336640/ |
work_keys_str_mv |
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