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Battery Drain Denial-of-Service Attacks and Defenses in the Internet of Things

Ioulianou Philokypros P., Vassilakis Vassilios G., Logothetis Michael D.

Journal of Telecommunications and Information Technology

2019

nr 2

37--45

IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is a popular routing protocol used in wireless sensor networks and in the Internet of Things (IoT). RPL was standardized by the IETF in 2012 and has been designed for devices with limited resources and capabilities. Open-source RPL implementations are supported by popular IoT operating systems (OS), such as ContikiOS and TinyOS. In this work, we investigate the possibility of battery drain Denial-of-Service (DoS) attacks in the RPL implementation of ContikiOS. In particular, we use the popular Cooja simulator and implement two types of DoS attacks, particularly version number modiﬁcation and “Hello” ﬂooding. We demonstrate the impact of these attacks on the power consumption of IoT devices. Finally, we discuss potential defenses relying on distributed intrusion detection modules.

Enhanced of Key Agreement Protocols Resistant to a Denial-of-Service Attack

Hwang M-S., Lo J-W., Liu C-H.

Fundamenta Informaticae

2004

Vol. 61, nr 3,4

389-398

The denial-of-service attack, a malicious client executes a key agreement protocol simultaneously many times to exhaust the server's memory or computing resource and to interfere the honest client connecting with the server. It is a serious problem in the key agreement protocol. A key agreement protocol which resists to the storage-exhaustion and the CPU-exhaustion attack was firstly proposed by Hiros-Matsuura. However, their protocol is not efficient enough during the weak key validation. Our proposed protocol modifies the weak key validation and avoids the unnecessary heavy computation to enhance the resistance of the denial-of-service attack. The most important contributions of our protocol are not only efficiently to resist CPU-exhaustion and memory-exhaustion attacks but also prevent bandwidth consumption.