The proliferation of the Internet of Things (IoT) in several application domains requires a well-defined infrastructure of systems that provides services for device abstraction and data management, and also supports the development of applications. Middleware for IoT has been recognized as the system that can provide this necessary infrastructure of services and has become increasingly important for IoT in recent years. The architecture of an IoT middleware is usually based on an SOA (service-oriented architecture) standard and has security requirement as one of its main challenges. The large amount of data that flows in this kind of system demands a security architecture that ensures the protection of the entire system. However, none of the existing SOAbased IoT middleware systems have defined a security standard that can be used as a reference architecture. In this sense, this article discusses the importance of defining a standard security architecture for SOA-based IoT middleware, analyzes concepts and existing work, and makes considerations about a set of security services that can be used to define a security architecture to mitigate the security threats in SOA-based IoT middleware systems.

Complex applications implemented as systems on chip (SoC) demand extensive use of system level modeling and validation. Their implementation gathers a large number of complex IP cores and advanced interconnection schemes, such as hierarchical bus architectures or networks on chip (NoC). Modeling applications involves capturing its computation and communication characteristics. Previously proposed communication weighted models (CWM) consider only the application communication aspects. This work proposes a communication dependence and computation model (CDCM) that can simultaneously consider both aspects of an application. It presents a solution to the problem of mapping applications on regular NoC while considering execution time and energy consumption. The use of CDCM is shown to provide estimated average reductions of 40% in execution time, and 20% in energy consumption, for current technologies.

The Industry 4.0 paradigm, since its initial conception in Germany in 2011, has extended its scope and adoption to a broader set of technologies. It is being considered as the most vital mechanism in the production systems lifecycle. It is the key element in the digital transformation of manufacturing industry all over the world. This scenario imposes a set of major unprecedented challenges which require to be overcome. In order to enable integration in horizontal, vertical, and end-to-end formats, one of the most critical aspects of this digital transformation process consists of effectively coupling digital integrated service/products business models with additive manufacturing processes. This integration is based upon advanced AI-based tools for decentralized decision-making and for secure and trusted data sharing in the global value. This paper presents the FASTEN IIoT Platform, which targets to provide a flexible, configurable, and open solution. The platform acts as an interface between the shop floor and the industry 4.0 advanced applications and solutions. Examples of these efforts comprise management, forecasting, optimization, and simulation, by harmonizing the heterogeneous characteristics of the data sources involved while meeting real-time requirements.

Modern medical devices connected to public and private networks require additional layers of communication and management to effectively and securely treat remote patients. Wearable medical devices, for example, can detect position, movement, and vital signs; such data help improve the quality of care for patients, even when they are not close to a medical doctor or caregiver. In healthcare environments, these devices are called Medical Internet-of-Things (MIoT), which have security as a critical requirement. To protect users, traditional risk assessment (RA) methods can be periodically carried out to identify potential security risks. However, such methods are not suitable to manage sophisticated cyber-attacks happening in near real-time. That is the reason why dynamic RA (DRA) approaches are emerging to tackle the inherent risks to patients employing MIoT as wearable devices. This paper presents a systematic literature review of RA in MIoT that analyses the current trends and existing approaches in this field. From our review, we first observe the significant ways to mitigate the impact of unauthorised intrusions and protect end-users from the leakage of personal data and ensure uninterrupted device usage. Second, we identify the important research directions for DRA that must address the challenges posed by dynamic infrastructures and uncertain attack surfaces in order to better protect users and thwart cyber-attacks before they harm personal (e.g., patients’ home) and institutional (e.g., hospital or health clinic) networks.

During the past few years, with the fast development and proliferation of the Internet of Things (IoT), many application areas have started to exploit this new computing paradigm. An interesting use of IoT is in the Industrial field, which has resulted in a new business concept called IIoT (Industrial Internet of Things). Another important fact is the number of active computing devices has been growing at a rapid pace in IoT environments around the world. Consequently, a mechanism to deal with this different devices has become necessary. Middleware systems solutions for IoT have been developed in both research and industrial environments to supply this need. However, discover, search, select, and interact with devices remain a critical challenge. In this paper we present COBASEN, a software framework composed of a Context Module and a Search Engine to address the research challenge regarding the discovery and interaction with IoT devices when large number of devices with overlapping and sometimes redundant functionality are available in IoT middleware systems. The search engine of the COBASEN operates based on the semantic characteristics of the devices, which is provided by the context module, and that helps users in their interactions with desired devices. The main goal of this work is to highlight the importance of a context-based search engine in the IoT paradigm and to provide a solution that addresses the proper management of search and usage in IoT middleware environments. We developed a tool that implements all COBASEN concepts. However, for preliminarily tests, we made a functional evaluation of the search engine in terms of performance for indexing and querying response time. Our initial findings suggest that COBASEN provides important approaches that facilitate the development of IIoT applications, which based on the COBASEN systems support, may perform essential roles to improve industrial processes.