BRAIN: Buffer reservation attack prevention using legitimacy score in 6LoWPAN network

Abstract

Internet of Things (IoT) is a network of tangible objects forming a Low-Power Network with each connected device having limited resources and computing power, and each entrusted with a task of data acquisition and transmission to controller devices or users. IoTs are taking over the networking world fast and are bringing the physical and the virtual world ever closer. The most prominent security threat with IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) is the Buffer Reservation Attack. In this paper, this attack has been extensively described, simulated using Contiki cooja simulator and proposed an energy efficient solution named BRAIN that defend against buffer reservation attack. We observe that the legitimacy score based BRAIN approach is improved by 4–35% packet dropping rate and 36.16% average throughput. Along with it reduces 0.09 mJ CPU Energy Computation (CPUENC), 0.14 mJ Transmission Energy (ETX), and 0.08 mJ Reception Energy (ERX).