Premium
Dynamic and adaptive detection method for flooding in wireless sensor networks
Author(s) -
Mansouri Djamel,
Mokdad Lynda,
Benothman Jalel,
Ioualalen Malika
Publication year - 2017
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.3265
Subject(s) - computer science , eavesdropping , wireless sensor network , denial of service attack , flooding (psychology) , energy consumption , cluster analysis , computer network , software deployment , computer security , real time computing , artificial intelligence , ecology , the internet , world wide web , biology , operating system , psychology , psychotherapist
Summary In recent years, wireless sensor networks (WSNs) have attracted an increasing attention in several fields. However, WSNs must be treated with significant challenges in their design due to their special characteristics such as limited energy, processing power, and data storage that make the energy consumption saving a real challenge. Also, regarding their distributed deployment in open radio frequency and lack of physical security, these networks are vulnerable and exposed to several attacks: passive eavesdropping, active attacks, and identity theft. In this paper, we propose a new method called accordion method to detect and apprehend denial of service attacks in WSNs. This approach is a dynamic and an adaptive method based on using clustering method which allows electing control nodes that analyze the traffic inside a cluster and send warnings to the cluster head whenever an abnormal behavior is suspected or detected. The proposed method relies on the analysis of the evolution of the threshold messages (alerts) sent in the cluster. The proposed method has been evaluated, and the obtained numerical results show its benefit compared with other detection methods.