Open AccessIDSEP: a novel intrusion detection scheme based on energy prediction in cluster‐based wireless sensor networks
Author(s) -
Han Guangjie,
Jiang Jinfang,
Shen Wen,
Shu Lei,
Rodrigues Joel
Publication year - 2013
Publication title -
iet information security
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 34
eISSN - 1751-8717
pISSN - 1751-8709
DOI - 10.1049/iet-ifs.2012.0052
Subject(s) - wireless sensor network , computer science , intrusion detection system , scheme (mathematics) , cluster (spacecraft) , computer network , key distribution in wireless sensor networks , wireless , wireless network , data mining , telecommunications , mathematics , mathematical analysis
Owing to wireless communication's broadcast nature, wireless sensor networks (WSNs) are vulnerable to denial‐of‐service (DoS) attacks. It is of great importance to design an efficient intrusion detection scheme (IDS) for WSNs. In this study, the authors propose a novel IDS based on energy prediction (IDSEP) in cluster‐based WSNs. The main idea of IDSEP is to detect malicious nodes based on energy consumption of sensor nodes. Sensor nodes with abnormal energy consumption are identified as malicious ones. Furthermore, IDSEP is designed to differentiate categories of ongoing DoS attacks based on energy consumption thresholds. The simulation results show that IDSEP detects and recognises malicious nodes effectively.