A METHOD FOR DETECTING MULTIPLE ATTACKS
AGAINST FALSE REPORT INJECTION ATTACKS AND
WORMHOLE ATTACKS IN SENSOR NETWORKS
Computer Applications: An International Journal (CAIJ), 1 (2):
1-10 (2014/11 2014)Abstract
In wireless sensor networks, adversaries can easily launch multiple attacks on the application layer and the
network layer, such as false report injection attacks and wormhole attacks. These attacks drain finite
energy resources through false reports of compromised nodes, and devastate the constructed routing paths
through the illegal messages of adversary nodes. Statistical en-route filtering (SEF) is proposed in order to
drop the false reports against the false report injection attack, and a localized encryption and
authentication protocol (LEAP) is proposed to detect the illegal messages to protect against wormhole
attacks. When these attacks occur at the same time, SEF and LEAP should be operated simultaneously to
confront the false reports and the illegal message in the sensor network. In this paper, we propose a
method to improve the energy efficiency and the security level as compared to the simultaneous application
of SEF and LEAP. In the proposed method, three types of new keys are designed to effectively detect these
attacks, identifying and eliminating the redundancies. The effectiveness of the proposed method is verified
through experimentation, and the results are compared to the simultaneous application of SEF and LEAP
when the two attacks occur. The experiment results show that our proposed method saves up to 8% more
energy, improves the security level of the compromised nodes up to 10%, and maintains the same detection
power of the adversary nodes.