International Conference Papers

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    IoT-DMCP: An IoT data management and control platform for smart cities
    (SCITEPRESS – Science and Technology Publications, 2019) Boulkaboul, Sahar; Djenouri, Djamel; Bouhafs, Sadmi; Belaid, Mohand
    This paper presents a design and implementation of a data management platform to monitor and control smart objects in the Internet of Things (IoT). This is through IPv4/IPv6, and by combining IoT specific features and protocols such as CoAP, HTTP and WebSocket. The platform allows anomaly detection in IoT devices and real-time error reporting mechanisms. Moreover, the platform is designed as a standalone application, which targets at extending cloud connectivity to the edge of the network with fog computing. It extensively uses the features and entities provided by the Capillary Networks with a micro-services based architecture linked via a large set of REST APIs, which allows developing applications independently of the heterogeneous devices. The platform addresses the challenges in terms of connectivity, reliability, security and mobility of the Internet of Things through IPv6. The implementation of the platform is evaluated in a smart home scenario and tested via numeric results. The results show low latency, at the order of few ten of milliseconds, for building control over the implemented mobile application, which confirm realtime feature of the proposed solution.
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    A New Low Cost Sessions-Based Misbehaviour Detection Protocol (SMDP) for MANE
    (IEEE Computer Society, 2007-05) Djenouri, Djamel; Fahad, Tarek; Askwith, Robert; Merabti, Madjid
    There is a strong motivation for a node to deny packet forwarding to others and being selfish in MANET. Recently, some solutions have been proposed, but almost all of these solutions rely on the watchdog technique, which suffers from many drawbacks, particularly when using the power control technique. To overcome this problem with a moderate communication overhead, this paper introduces a new approach for detecting misbehaving nodes that drop data packets in MANET. It consists of two stages: (i) the monitoring stage in which each node monitors its direct neighbours with respect to forwarding data packets of a traffic session in the network, and (ii) the decision stage, in which direct neighbouring nodes decide whether the monitored node misbehaves or not. Our new approach is able to detect the misbehaviour in case of power control employment, with a low communication overhead compared to the existing approaches.