arrow
返回

Pulse jamming attack detection using swarm intelligence in wireless sensor networks

delete2023-02-01
delete3
PRE
AI
I
I. Sudha *
M
Mohammed Ahmed Mustafa
R
R. Suguna
S
Sathishkumar Karupusamy
V
Veeraswamy Ammisetty
S
Shavkatov Navruzbek Shavkatovich
M
M. Ramalingam
P
Pratik Kanani
DOI:10.1016/j.ijleo.2022.170251delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
A Wireless Sensor Networks consists of small, inexpensive, battery powered wireless sensors, which self configure and collaborate with each other to support cost effective sensing in situations where human observation or wired systems deployment can be inefficient, expensive, dangerous, or otherwise untenable. Unfortunately, the desirable nature of a WSN introduces many security challenges. The broadcast nature of wireless communication introduces various attacks in WSN. This research work mainly focus on lack of issues regarding achievement of security for certain attacks like jamming attack, denial of sleep attack, tampering and cheating attack in IEEE802.15.4 based wireless sensor networks. Swarm intelligence algorithm is proficient enough to adapt change in network topology and traffic.Using the swarm intelligence technique, the forward ants either unicast or broadcast at each node depending on the availability of the channel information for end of the channel. If the channel information is available, the ants randomly choose the next hop. The source on receiving the channel information from the backward ant verifies the prevalence of the attacker for long time and avoids the particular channel for transmission in order to improve the performance of wireless sensor network. The proposed approach attains packet delivery of 0.4441 and 0.6633. The effective packet delivery ratio shows the effectiveness of the proposed approach. Simulation results assessing the performance of the proposed Swarm Based Defense Technique based on rate, time and number of attackers proves the efficiency of the proposed scheme compared to the existing techniques.
Keyword:
Wireless sensor networks
DEEJAM
Swarm intelligence
Jamming attack
SBDT
Packet drop
And attacker

期刊

O
Optik
IF:
0
论文数:
21
被引数:
0

机构

I
imam jaa'far al-sadiq university
学者数:
196
论文数: 273
被引数: 0
S
Saveetha School of Engineering
学者数:
2.4K
论文数: 2.6K
被引数: 1
K
Karpagam College of Engineering
学者数:
223
论文数: 225
被引数: 0
S
saveetha institute of medical & technical science
学者数:
7.3K
论文数: 7.6K
被引数: 12
T
Tashkent State University of Economics
学者数:
330
论文数: 326
被引数: 346
学者 查看更多机构
引用论文

引用论文

Distributed target classification and tracking in sensor networks
err2003-08-01
err345
errOAAI
errBrooks, RR; Ramanathan, P; Sayeed, AM
err分享
err收藏
A Survey of Multimedia Streaming in Wireless Sensor Networks
err2008-01-01
err241
errOAAI
errMisra, Satyajayant; Reisslein, Martin; Xue, Guoliang
err分享
err收藏
A survey on sensor networks传感器网络综述
err2002-08-01
err8.6K
PREAI
errAkyildiz, IF; Su, WL; Sankarasubramaniam, Y; Cayirci, E
err分享
err收藏
没有更多内容