Javaid Sabeen, Afzal Hammad, Arif Fahim, Iltaf Naima, Abbas Haider, Iqbal Waseem
Department of Computer Software Engineering, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
Sensors (Basel). 2019 Jul 12;19(14):3076. doi: 10.3390/s19143076.
The inevitable revolution of the Internet of Things (IoT) and its benefits can be witnessed everywhere. Two major issues related to IoT are the interoperability and the identification of trustworthy things. The proposed Context-Aware Trustworthy Social Web of Things System (CATSWoTS) addresses the interoperability issue by incorporating web technologies including Service Oriented Architecture where each thing plays the role of a service provider as well as a role of service consumer. The aspect of social web helps in getting recommendations from social relations. It was identified that the context dependency of trust along with Quality of Service (QoS) criteria, for identifying and recommending trustworthy Web of Things (WoT), require more attention. For this purpose, the parameters of context awareness and the constraints of QoS are considered. The research focuses on the idea of a user-centric system where the profiles of each thing (level of trustworthiness) are being maintained at a centralized level and at a distributed level as well. The CATSWoTS evaluates service providers based on the mentioned parameters and the constraints and then identifies a suitable service provider. For this, a rule-based collaborative filtering approach is used. The efficacy of CATSWoTS is evaluated with a specifically designed environment using a real QoS data set. The results showed that the proposed novel technique fills the gap present in the state of the art. It performed well by dynamically identifying and recommending trustworthy services as per the requirements of a service seeker.
物联网（IoT）不可避免的变革及其带来的好处随处可见。与物联网相关的两个主要问题是互操作性和可信赖事物的识别。所提出的上下文感知可信赖社会物联网系统（CATSWoTS）通过整合包括面向服务架构在内的网络技术来解决互操作性问题，其中每个事物既扮演服务提供者的角色，也扮演服务消费者的角色。社会网络方面有助于从社会关系中获取推荐。人们发现，在识别和推荐可信赖的物联网（WoT）时，信任的上下文依赖性以及服务质量（QoS）标准需要更多关注。为此，考虑了上下文感知参数和QoS约束。该研究聚焦于以用户为中心的系统理念，其中每个事物的配置文件（可信赖程度）在集中式层面和分布式层面都得到维护。CATSWoTS根据上述参数和约束对服务提供者进行评估，然后识别出合适的服务提供者。为此，使用了基于规则的协同过滤方法。利用真实的QoS数据集在专门设计的环境中对CATSWoTS的效能进行了评估。结果表明，所提出的新技术填补了现有技术水平中存在的空白。它根据服务寻求者的需求动态识别和推荐可信赖服务，表现良好。
