Multimedia traffic security architecture for the internet of things
he Internet of Things (IoT) is a novel network architecture that is rapidly gaining attention in the scenario of next-generation wireless telecommunications. The basic idea of IoT is pervasively providing us with a variety of things or objects, such as radio frequency identification (RFID) tags, sensors, actuators, and mobile phones, which are able to interact and cooperate with each other to realize the tasks of communication, computation, and service . Such a network poses a bright
... nd for large-data multimedia applications as demand for emerging applications like video on demand (VoD), IPTV, and voice over IP (VoIP) has grown tremendously . Figure 1 provides a classic example of multimedia service architecture in the context of IoT. Nowadays, security is of critical importance for various multimedia applications in IoT  . Since the IoT is built to broadly execute unverified user-implemented applications from different users, both applications and users can be sources of security threats to the IoT [4, 5] . For example, the vulnerabilities of applications and sensors can be exploited by hackers, and malicious users can access the IoT to launch vicious service attacks. Moreover, a legitimate user may tamper with shared multimedia data or excessively exhaust network resources to interrupt services available to other legitimate users. On the other hand, however, the existing IoT has not employed a specific security mechanism to deal with the threats mentioned above  . Thus, it is very important and necessary to deploy a security strategy to protect securitycritical multimedia applications streaming over the IoT. As we know, traffic management plays a key role in achieving high multimedia quality of service (QoS) in a network  . Unfortunately, conventional multimedia traffic management algorithms, developed mainly to guarantee delay and distortion constraints while usually neglecting security requirements, are not appropriate for security-aware multimedia applica-tions. In this article, we propose a security-critical multimedia service architecture in the IoT context, which jointly considers traffic analysis, security requirements, and traffic scheduling for multimedia applications. To illustrate the effectiveness, the proposed media-aware traffic security architecture (MTSA) is applied to obtain satisfying traffic management based on the given media-aware traffic classification and analysis. MTSA is one of the first security-aware traffic management strategies for multimedia applications running over the IoT. The fundamental contributions of this article include the following aspects: • Traffic classification and analysis for various multimedia applications streaming over IoT • Developing a novel architecture for media-aware traffic security • Designing and evaluating the proposed security-critical traffic management scheme The rest of this article is organized as follows. We present the multimedia traffic classification and analysis in the context of the IoT. We provide the media-aware traffic security architecture and specify the interaction and cooperation between the different parts. Moreover, the corresponding design rule and strategy are proposed. Finally, we conclude this article. Multimedia Traffic Classification and Analysis The characteristics of the IoT make it possible to develop a huge amount of multimedia traffic. Usually, an IoT is realized by equipping multiple sensors with high intelligence of communication, computation, and service capabilities. Specifically, we can divide the multimedia traffic running over IoT into three categories: communication, computation, and service. In this section, we analyze the above three kinds of multimedia traffic. Figure 2 illustrates multimedia traffic classification and analysis in the context of an IoT. Abstract An important challenge for supporting multimedia applications in the Internet of Things is the security heterogeneity of wired and wireless sensor and actuator networks. In this work, we design a new and efficient media-aware security framework for facilitating various multimedia applications in the Internet of Things. First, we present a novel multimedia traffic classification and analysis method for handling the heterogeneity of diverse applications. Then a media-aware traffic security architecture is proposed based on the given traffic classification to enable various multimedia services being available anywhere and anytime. Furthermore, we provide a design rule and strategy to achieve a good trade-off between a system's flexibility and efficiency. To the best of our knowledge, this study is the first to provide general media-aware security architecture by jointly considering the characteristics of multimedia traffic, security service, and the Internet of Things.