Research Reports

Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34

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Subject: search.filters.subject.Mobility

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    Evaluation of the impacts of Sybil attacks against RPL under mobility
    (CERIST, 2014-06) Medjek, Faiza; Tandjaoui, Djamel; Djedjig, Nabil
    The Routing Protocol for Low-Power and Lossy Networks (RPL) is the routing protocol standardized for constrained environments such as 6LoWPAN networks, and is considered as the routing protocol of the Internet of Things (IoT). However, this protocol is subject to several attacks that have been analyzed on static case. Nevertheless, IoT will likely present dynamic and mobile applications. In this paper, we introduce potential security threats on RPL, in particular Sybil attacks when the Sybil nodes are mobile. In addition, we present an analysis and a discussion on how network performances can be affected. Our analysis shows, under Sybil attacks while nodes are mobile, that the performances of RPL are highly affected compared to the static case. In fact, we notice a decrease in the rate of packet delivery, and an increase in control messages overhead. As a result, energy consumption at constrained nodes increases. Our proposed attacks demonstrate that Sybil mobile nodes can easily disrupt RPL and overload the network with fake messages making it unavailable. Based on the obtained results we provide some recommendations to tackle this issue.
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    A Resource-based Mutual Exclusion Algorithm supporting Dynamic Acting Range and Mobility for Wireless Sensor and Actor Networks
    (CERIST, 2010-05) Derhab, Abdelouahid; Zair, Mustapha
    Achieving optimal actor resources usage is one of the fundamental issues in Wireless sensor and Actor Networks (WSANs). One solution is to maximize the mutually exclusive regions (i.e., regions covered by one actor). In this paper, we take a novel approach to define and resolve the mutual exclusion problem. We propose CRMEA, (Centralized Resource-based Mutual Exclusion Algorithm), that constructs an actor cover set whose cost is less than the sole mutual exclusion algorithm existing in the literature. In addition, extensions supporting dynamic acting range and mobility are added to CRMEA. Simulation results show that the proposed extensions can save up to 50%¡90% of actor resources when compared with CRMEA. In addition, the mobility extension can overcome the large event-to-action delay problem and meet the requirements of the delay-sensitive applications.