Biblio

During the last decade, the smart digital environment has become one of the most scientific challenges that occupy scientists and researchers. This new environment consists basically of smart connected products including three main parts: the physical mechanical/electrical product, the smart part of the product made from embedded software and human machine interface, and finally the connectivity part including antennas and routing protocols insuring the wired/wireless communication with other products, from our side, we are involved in the implementation of the latter part by developing a routing protocol that will meet the increasingly demanding requirements of today's systems (security, bandwidth, network lifetime, ...). Based on the researches carried out in other fields of application such as MANETS, multi-path routing fulfills our expectations. In this article, the MPOLSR protocol was chosen as an example, comparing its standard version and its improvements in order to choose the best solution that can be applied in the smart digital environment.

The interconnectivity of 6LoWPAN networks with the Internet raises serious security concerns, as constrained 6LoWPAN devices are accessible anywhere from the untrusted global Internet. Also, 6LoWPAN devices are mostly deployed in unattended environments, hence easy to capture and clone. Despite that state of the art crypto solutions provide information security, IPv6 enabled smart objects are vulnerable to attacks from outside and inside 6LoWPAN networks that are aimed to disrupt networks. This paper attempts to identify intrusions aimed to disrupt the Routing Protocol for Low-Power and Lossy Networks (RPL).In order to improve the security within 6LoWPAN networks, we extend SVELTE, an intrusion detection system for the Internet of Things, with an intrusion detection module that uses the ETX (Expected Transmissions) metric. In RPL, ETX is a link reliability metric and monitoring the ETX value can prevent an intruder from actively engaging 6LoWPAN nodes in malicious activities. We also propose geographic hints to identify malicious nodes that conduct attacks against ETX-based networks. We implement these extensions in the Contiki OS and evaluate them using the Cooja simulator.