Healthcare supply chain domain and medical records’ management face numerous challenges that come with new demands, such as customer dissatisfaction, rising healthcare costs, tracking and traceability of drugs, and security and privacy related to ...

• IoT blockchain architecture for preventing access violations in health supply chain.
• Blockchain combined with IoT offers a reliable way to protect medical data.
• Hyperledger Fabric protects sensitive data in a P2P distributed and ...

This survey summarizes the most recent methods for building and assessing helpful, honest, and harmless neural language models, considering small, medium, and large-size models. Pointers to open-source resources that help to align pre-trained models are ...

Anomaly detection approaches for network intrusion detection learn to identify deviations from normal behavior on a data-driven basis. However, current approaches strive to infer the degree of abnormality of out-of-distribution samples when these ...

The Internet of Things (IoT) scenario places important challenges even for deep learning-based intrusion detection systems. IoTs are highly heterogeneous networks in which multiple types of nodes and connections between them proliferate at a fast ...

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• Literature review on design of Intrusion Detection Systems for IoT based on Deep Reinforcement Learning.
• Best practices, lessons learnt, and open challenges in this DRL research trend.
• Conditions are identified upon which DRL may ...

The Internet of Things (IoT) paradigm is characterized by the adoption of different protocols and standards to enable communications among heterogeneous and, often, resource-constrained devices. The risk of violation is high due to the wireless ...

The incremental diffusion of the Internet of Things (IoT) technologies and applications represents the outcome of a world ever more connected by means of heterogeneous and mobile devices. IoT scenarios imply the presence of multiple ...

Organizing the storing of information and data retrieval from databases is a crucial issue, which has become more critical with the spreading of cloud and Internet of Things (IoT) based applications. In fact, not only the network’s ...

Regulating the access to the Internet of Things (IoT) network’s resources is a complex-prone task, which requires to pay a great attention on how policies are defined, shared, and enforced. The present paper considers the specific context of a ...

The continuous spreading of innovative applications and services, based on the emerging Internet of Things (IoT) paradigm, leads to the need of even more efficient network architectures/infrastructures, in order to support the huge amount of ...

During the last years, the interest in nano-technologies and nanoscale communications significantly growth in several application domains, such as healthcare, bio-medicine, agro-food, industry, and military/defense. Nano-scale devices ...

Denial of Service (DoS) attack represents until now a relevant problem in Internet-based contexts. In fact, it is both difficult to recognize and to counteract. Along with the adoption and diffusion of Internet of Things (IoT) applications, such ...

Thanks to the availability of miniaturized camera and microphones, nowadays Wireless Multimedia Sensor Networks (WMSNs) can sense and deliver audio/video signals from a target environment to remote analysis sites. Hence, new opportunity are disclosed ...

• Distributedly moving data processing, storaging and security at the network edge.

One of the hottest topics in the Internet of Things (IoT) domain relates to the ability of enabling computation and storage at the edges of the network. This is becoming a key feature in order to ensure the ability of managing in a ...

Many solutions based on machine learning techniques have been proposed in literature aimed at detecting and promptly counteracting various kinds of malicious attack (data violation, clone, sybil, neglect, greed, and DoS attacks), which frequently ...

Security threats may hinder the large scale adoption of the emerging Internet of Things (IoT) technologies. Besides efforts have already been made in the direction of data integrity preservation, confidentiality and privacy, several issues are still ...

In the Internet of Things (IoT) heterogeneous technologies concur to the provisioning of customized services able to bridge the gap between the physical and digital realms. Security, privacy and data quality are acknowledged to represent key issues to ...

Internet of Things (IoT) is characterized, at the system level, by high diversity with respect to enabling technologies and supported services. IoT also assumes to deal with a huge amount of heterogeneous data generated by devices, transmitted by the ...

Over recent years, the continuous interest in wireless sensor networks (WSNs) has led to the appearance of new modeling methods and simulation environments for WSN applications. A broad variety of different simulation tools have been designed to explore ...

Machine-to-Machine (M2M) paradigm is one of the main concern of Internet of Things (IoT). Its scope is to interconnect billions of heterogeneous devices able to interact in various application domains. Since M2M suffers from a high vertical ...

Internet of Things (IoT) is characterized by heterogeneous technologies, which concur to the provisioning of innovative services in various application domains. In this scenario, the satisfaction of security and privacy requirements plays a fundamental ...