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Currently, the field of smart-* (home, city, health, tourism, etc.) is naturally heterogeneous and multimedia oriented. In such a domain, there is an increasing usage of heterogeneous mobile devices, as well as captors transmitting data (IoT). They are highly connected and can be used for many different services, such as to monitor, to analyze and to display information to users. In this context, data management and adaptation in real time are becoming a challenging task. More precisely, at one time, it is necessary to handle in a dynamic, intelligent and transparent framework various data provided by multiple devices with several modalities. This paper presents a Kali-Smart platform, which is an autonomic semantic-based context-aware platform. It is based on semantic web technologies and a middleware providing autonomy and reasoning facilities. Moreover, Kali-Smart is generic and, as a consequence, offers to users a flexible infrastructure where they can easily control various interaction modalities of their own situations. An experimental study has been made to evaluate the performance and feasibility of the proposed platform.

Image watermarking is a potentially effective and powerful solution for multimedia security. It is a technique that plays a fundamental role in protecting copyright, proofing ownership, and helps to authenticate sensitive data. Watermarking can cause a decrease in image quality, especially when it comes to medical images. This could provoke false diagnoses, which can lead to serious consequences on the patient's health. In fact, it becomes necessary to think for new more imperceptible, secure watermarking techniques. To provide such techniques, we proposed a novel blind watermarking scheme for medical images, based on Schur decomposition and chaotic sequence (CS). An efficient chaotic method is applied on the watermark and the cover image to obtain encrypted images divided into subblocks. A decomposition based on Schur is utilized to embed the encrypted watermark bits in the cyphered cover image blocks. The same CS is applied to extract the original watermark. We compared the proposed technique with other watermarking schemes. The experimentation results demonstrate that the suggested method achieving good image fidelity and acceptable robustness.

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Nowadays, future mobile applications must have the ability to use distributed smart connected objects on various smart cities domains. Most existing mobile applications have mostly neglected to consider the user's current needs and their preferences that continuously quickly evolve. The authors have developed a novel framework to generate dynamically distributed application as service chains of components and optimize connected objects life cycle. The framework combines a generic context-aware ontology situation model, middleware and IoT for managing user's composite situations at the design and the run-time levels. The first level consists of modeling applications, profiles and usage contexts through a model-driven methodology considering the specified user's constraints. The second level consists of context monitoring mechanisms, situation reasoning and deploying adapted services using Kai-smart platform for meeting user's needs and its current contexts. The proposed framework is validated through several use cases in different smart domains.

Recently, a number of critical distributed mobile applications raised the need to solve the security challenges on virtualization. Consequently, several works based on virtualization have been proposed in the literature [7−14]. However, all the proposed methods have common drawbacks that require high deployment cost in terms of high execution time and high computation complexity for implementation and not immediately adopted under continuous changing of cloud platforms. Moreover, researchers in [12] focused on virtual machine (VM) allocation policy to defend against the well-known attack which is called

Interoperability explains how two or more systems or components exchange and process information. The heterogeneity communication mechanisms of the components (GPRS, WIFI, Bluetooth, ZigBee, etc.), transmission speed, as well as the variety of the media (sound, video, text, and image) they manage have a strong influence on the interoperability. That requires the management of the adaptation to an abstract level in order to avoid ad hoc nonreusable, and/or generalizable solutions. In this paper we propose a metamodel for architectures with heterogeneous multimedia components. It enables the description of the software architectures as a collection of components manipulating various types and formats of data, and interacting between them via specific adaptation connectors.