Recently, excellent by Internet of Things (IoT), the era of connected everything device is coming. However, the devices hardly show the manner to autonomous connectivity on it and the self-cooperation for applied to real-world environments. In this paper, we proposed a smart building on IoT and cloud-based technology that can perform collaboration and efficient operation with various sensing devices in building and facilities. The smart building is very important to reduce on a huge amount of building energy is consumed by the management system of buildings. The proposed system selects an optimum device feature subset from the computing resources and storages by our cloud-based building management system. The performance of our proposed system is tested via experiments which verify that its measures are satisfactory.

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The Inter-VTS Data Exchange Format (IVEF) service is the draft standard designed for exchange of information on sea traffic between the vessel traffic systems and between the vessels. Standardization of this service is under way as a part of the next-generation navigation system, called e-Navigation. The International Association of Lighthouse Authorities suggests, on its recommendation V-145, the IVEF service model and the protocol for provisioning of this service. But the detailed configuration of this service must be designed by the users. IVEF service is aimed at establishing a common framework to ensure exchange of ship information between vessel traffic service (VTS) centers gained via automatic ship identification device, closed-circuit television, radar system and other devices. Robust exchange of marine traffic information between VTS centers through IVEF service will enable related authorities to identify location of domestic and international ships in the coastal waters real-time and predict expected sea route, thus ensure effective sea route control and pre-emptive response to potential disasters or accidents. This paper suggests, based on the basic service model and protocol provided in the recommendation V-145, the implementation of the Jeju-VTS middleware, which will facilitate exchange of information on sea traffic. This paper developed a system enabling IVEF service simulation under an Internet of Things environment made possible by improving IVEF software development kit, which is an open source. For this, a mobile phone loaded with Android platform and desk top PC has been used for emulation of a ship on voyage and VTS center.

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Abstract. Recently, as the serious damage caused by DDoS attacks increases, the rapid detection and the proper response mechanisms are urgent. However, existing security mechanisms do not provide effective defense against these attacks, or the defense capability of some mechanisms is only limited to specific DDoS attacks. It is necessary to analyze the fundamental features of DDoS attacks because these attacks can easily vary the used port/protocol, or operation method. In this paper, we propose a combined data mining approach for modeling the traffic pattern of normal and diverse attacks. This approach uses the automatic feature selection mechanism for selecting the important attributes. And the classifier is built with the theoretically selected attribute through the neural network. And then, our experimental results show that our approach can provide the best performance on the real network, in comparison with that by heuristic feature selection and any other single data mining approaches.