Rule‐Based Anomaly Detection Technique Using Roaming Honeypots for Wireless Sensor Networks

Because the nodes in a wireless sensor network (WSN) are mobile and the network is highly dynamic, monitoring every node at all times is impractical. As a result, an intruder can attack the network easily, thus impairing the system. Hence, detecting anomalies in the network is very essential for han...

Full description

Saved in:
Bibliographic Details
Published in:ETRI journal Vol. 38; no. 6; pp. 1145 - 1152
Main Authors: Gowri, Muthukrishnan, Paramasivan, Balasubramanian
Format: Journal Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 01.12.2016
한국전자통신연구원
Subjects:
Authentication
Cryptography
Detection technique
Honeypots
Real‐time data
Wireless Sensor Network (WSN)
전자/정보통신공학
ISSN:1225-6463, 2233-7326
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Because the nodes in a wireless sensor network (WSN) are mobile and the network is highly dynamic, monitoring every node at all times is impractical. As a result, an intruder can attack the network easily, thus impairing the system. Hence, detecting anomalies in the network is very essential for handling efficient and safe communication. To overcome these issues, in this paper, we propose a rule‐based anomaly detection technique using roaming honeypots. Initially, the honeypots are deployed in such a way that all nodes in the network are covered by at least one honeypot. Honeypots check every new connection by letting the centralized administrator collect the information regarding the new connection by slowing down the communication with the new node. Certain pre‐defined rules are applied on the new node to make a decision regarding the anomality of the node. When the timer value of each honeypot expires, other sensor nodes are appointed as honeypots. Owing to this honeypot rotation, the intruder will not be able to track a honeypot to impair the network. Simulation results show that this technique can efficiently handle the anomaly detection in a WSN.
Bibliography:is with the Department of Information Technology, Sethu Institute of Technology, Kariapatti, India.
is with the Department of Computer Science and Engineering, National Engineering College, Kovilpatti, India.
paramasivanb46@yahoo.com
Balasubramanian Paramasivan
gowrim1078@gmail.com
Muthukrishnan Gowri (corresponding author
https://etrij.etri.re.kr/etrij/journal/article/article.do?volume=38&issue=6&page=1145
G704-001110.2016.38.6.018
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.16.0115.0795