Читать книгу Service Level Management in Emerging Environments - Nader Mbarek - Страница 36

Trust is a complex concept influenced by many measurable and unmeasurable properties. Trust is closely related to the security of systems and users and is a necessary condition. However, trust is related not only to security but to several other factors, such as the QoS provided by the system, its reliability, its availability and, therefore, the services offered by the system and so on. Another important concept related to trust is the protection of privacy. A trust system must protect the privacy of its users so as to gain their trust. Trust, security and privacy protection are crucial issues in the emerging domain of information technologies such as the IoT (Yan et al. 2014).

Trust is managed through several processes from data collection to the provision of customer service. Trust management in the IoT thus provides an efficient means of evaluating trust relations between IoT entities and helps them in taking decisions about communicating and collaborating with each other. To guarantee this trust, data detection and collection must be reliable in the IoT. Special attention must, therefore, be paid to properties of trust in this kind of environment. These properties include the sensitivity, accuracy, security, reliability, and persistence of the object, as well as the effectiveness of data collection. This collection generates an enormous volume of data that must be carefully processed and analyzed, maintaining trust in terms of reliability, protection of privacy and accuracy. Further, the data must be securely transmitted and communicated in an IoT environment. An important challenge to face in meeting this objective is managing encryption keys in the IoT, as data confidentiality is common to security services, privacy protection and trust management. Moreover, the measures needed to act against attacks that could impact all levels of the IoT environment must be taken into consideration and we must ensure that the system is robust against all types of attacks in order for users to be able to sufficiently trust their IoT environment. Finally, users expect scalable and efficient identity management. Identity management concerns all layers of the IoT architecture, starting from the object all the way up to the user of services hosted in the Cloud. Identity management must respect the confidentiality of the service user’s identity in order to respect their privacy. The context of the IoT service is likely to influence identity management strategies. For example, a critical IoT service in the field of e-health requires finer and more specific identity management (Yan et al. 2014).