A B S T R A C T
Developments in the field of Wireless Sensor Networks (WSNs) and the Internet of Things
(IoT) mean that sensor devices can now be uniquely identified using an IPv6 address and, if
suitably connected, can be directly reached from the Internet. This has a series of advantages
but also introduces new security vulnerabilities and exposes sensor deployments to
attack. A compromised Internet host can send malicious information to the system and
trigger incorrect actions. Should an attack take place, post-incident analysis can reveal
information about the state of the network at the time of the attack and ultimately provide
clues about the tools used to implement it, or about the attackr’s identity. In this paper we
critically assess and analyse information retrieved from a device used for IoT networking,
in order to identify the factors which may have contributed to a security breach. To achieve
this, we present an approach for the extraction of RAM and flash contents from a sensor
node. Subsequently, we analyse extracted network connectivity information and we
investigate the possibility of correlating information gathered from multiple devices in
order to reconstruct the network topology. Further, we discuss experiments and analyse
how much information can be retrieved in different scenarios. Our major contribution is a
mechanism for the extraction, analysis and correlation of forensic data for IPv6-based WSN
deployments, accompanied by a tool which can analyse RAM dumps from devices running
the Contiki Operating System (OS) and powered by 8051-based, 8-bit micro-controllers.
© 2014 Digital Forensics ResearchWorkshop. Published by Elsevier Ltd. All rights reserved.
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جهت خرید فایل به انتهای صفحه مراجعه نمایید
کد محصول : شماره 48
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