RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network

Suryaprabha, E. and Saravana Kumar, N. M. (2020) RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network. Soft Computing, 24 (14). pp. 10681-10691. ISSN 1432-7643

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Abstract

Wireless sensor networks involved every part of application in today’s life. This can detect the various type of information
from environment and communicated to users in real time. Information is stored by using cloud technology and that can be
accessed by the users. The information is prone to attacks as they are part of cooperative communication. Building
algorithms at node level is not secured as they transfer data in open traffic. This has provided scope for this study to
concentrate on algorithms that are available for denial-of-service attacks as they put down the network performance to a
less minimum. The paper henceforth proposes optimized energy-based constraint DoS (denial-of-service) detection
algorithm, i.e., OBES algorithm for handling denial-of-service attacks that learns the network traffic and manages the
intruders. This has been compared with denial-of-service attack detection with energy constraint in WSN. The implementation
has been done in NS2. The performance has been presented in terms of nodes, interval and lifetime. From
results, it can be observed that the proposed OBES algorithm is efficient as it achieves more available energy, less delay,
less packet loss and more lifetime for the network. From results, it can be observed that OBES algorithm performs well
compared to denial-of-service attack detection with energy constraint algorithm.
Keywords Sensors � Denial of service � Attack � Wireless sensor network

Item Type: Article
Subjects: Computer Science and Engineering > Wireless Networks
Divisions: Computer Science and Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 31 Oct 2026 04:49
Last Modified: 31 Oct 2026 04:49
URI: https://ir.vcenggw.ac.in/id/eprint/627

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