Multiagent Systems is the title of a collection of papers dedicated to surveying specific themes of Multiagent Systems (MAS) and Distributed Artificial Intelligence (DAI). All of them authored by leading researchers of this dynamic multidisciplinary field.

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Multiagent systems: a modern approach to distributed artificial intelligence

The complex and interdependent nature of smart cities raises significant political, technical, and socioeconomic challenges for designers, integrators and organisations involved in administrating these new entities. An increasing number of studies focus on the security, privacy and risks within smart cities, highlighting the threats relating to information security and challenges for smart city infrastructure in the management and processing of personal data. This study analyses many of these challenges, offers a valuable synthesis of the relevant key literature, and develops a smart city interaction framework. The study is organised around a number of key themes within smart cities research: privacy and security of mobile devices and services; smart city infrastructure, power systems, healthcare, frameworks, algorithms and protocols to improve security and privacy, operational threats for smart cities, use and adoption of smart services by citizens, use of blockchain and use of social media. This comprehensive review provides a useful perspective on many of the key issues and offers key direction for future studies. The findings of this study can provide an informative research framework and reference point for academics and practitioners.

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Security, Privacy and Risks Within Smart Cities: Literature Review and Development of a Smart City Interaction Framework.

Business Process Management (BPM) includes methods, techniques, and tools to support the design, enactment, management, and analysis of operational business processes. It can be considered as an extension of classical Workflow Management (WFM) systems and approaches. Although the practical relevance of BPM is undisputed, a clear definition of BPM and related acronyms such as BAM, BPA, and STP are missing. Moreover, a clear scientific foundation is missing. In this paper, we try to demystify the acronyms in this domain, describe the state-of-the-art technology, and argue that BPM could benefit from formal methods/languages (cf. Petri nets, process algebras, etc.).

Business Process Management: A Survey

Over the past years, blockchain technology has become more and more interesting since its ability to carry out transactions without any mediator. To ensure the transactions' reliability, c...

Permissionless proof‐of‐reputation‐X: A hybrid reputation‐based consensus algorithm for permissionless blockchains

The dynamic nature of wireless links and the mobility of devices connected to the Internet of Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers pervasive healthcare applications. On the other hand, it allows eavesdroppers and other illegitimate actors to access secret information. Due to the poor time efficiency and high computational complexity of conventional cryptographic methods and the heterogeneous technologies used, it is easy to compromise the authentication of lightweight wearable and healthcare devices. Therefore, intelligent authentication, which relies on artificial intelligence (AI), and sufficient network resources are extremely important for securing healthcare devices connected to IoT-5G. This survey considers intelligent authentication and includes a comprehensive overview of intelligent authentication mechanisms for securing IoT-5G devices deployed in the healthcare domain. First, it presents a detailed, thoughtful, and state-of-the-art review of IoT-5G, healthcare technologies, tools, applications, research trends, challenges, opportunities, and solutions. We selected 20 technical articles from those surveyed based on their strong overlaps with IoT, 5G, healthcare, device authentication, and AI. Second, IoT-5G device authentication, radio-frequency fingerprinting, and mutual authentication are reviewed, characterized, clustered, and classified. Third, the review envisions that AI can be used to integrate the attributes of the physical layer and 5G networks to empower intelligent healthcare devices. Moreover, methods for developing intelligent authentication models using AI are presented. Finally, the future outlook and recommendations are introduced for IoT-5G healthcare applications, and recommendations for further research are presented as well. The remarkable contributions and relevance of this survey may assist the research community in understanding the research gaps and the research opportunities relating to the intelligent authentication of IoT-5G healthcare devices. 

Intelligent authentication of 5G healthcare devices: A survey

ITIL is one of the most used frameworks for IT service management. Implementing ITIL processes through an organization is not an easy task and present many difficulties. This paper explores the ITIL implementation's challenges and tries to experiment how Business Process Management Systems can help organization overtake those challenges.

Supporting ITIL processes implementation using business process management systems

The smart city is a new concept of urban development. It is about improving the life quality of city dwellers by making the city more adaptive and efficient, using new technologies that rely on an ecosystem of objects and services. The scope covering this new mode of city management includes: public infrastructures (buildings, street furniture, home automation, etc.), networks (water, electricity, gas, telecoms); transport (public transport, roads and smart cars, carpooling, so-called soft mobility - by bike, on foot, etc.); e-services and e-administrations. In recent years the concept of the smart city has become democratized, especially with the creation of several study groups and the establishment of more and more intelligent city in the world (New York, Paris, London ...). However, with the emergence of the Internet of Things (IOT) continues to boost the development of smart cities, it also increases the need to address security issues. The purpose of this article is the description of the data exchange flows between each component of the smart city and the users, to identify the types of protocol of these exchanges and the associated IOT applications.

Data security of smart cities

Recently, deep learning has been used in every possible field. These applications leverage its amazing power. Even if distributed computing system and networking are mainly used to provide computational infrastructure for deep learning, networking itself can benefit from this promising technology. This paper focuses on the application of deep learning to build a forwarder for Named Data Networking. This paper presents a review of existing deep learning approaches that applies to networking. It proposed an approach and an algorithm that leverage existing machine learning approaches to build a network forwarder. This paper present also an application to the proposed forwarder for Internet of Things based real time environments.

Deep Learning for Packet Forwarding with an Application for Real Time IoT

Wireless sensor networks are an emerging technology for low-cost that are becoming involved in almost every field of life, due to the advancement in wireless technologies and reductions in size Idle listening is disastrous in WSNs based on the fact that nodes in this mode consume the same magnitude of power as in receiving Overhearing means that nodes decode packets are destined to others Collisions result in corrupted packets and the following MAC layer retransmissions consume extra energy From the network perspective, channel contention is a serious problem in WSNs resulting in collisions, re-transmissions In this paper, we focus on the MAC layer problem with contention protocols oriented saving energy and latency We have compared the existing contention-based protocols: IEEE80211/802154, S-MAC, T-MAC and OB-MAC protocols We simulated and evaluated the performance of existing protocols using the NS-2 simulator Evaluations show that the optimized OB-MAC achieved considerable improvement in energy and latency

http://ieeexplore.ieee.org/iel7/7050717/7060873/07060922.pdf

Comparative analysis of contention oriented power saving based medium access control Protocols for wireless sensor networks

In this paper, we will introduce a new approach to calculate rewards and penalties for Blockchain-based systems. The purpose of our proposal is to retain the participants (nodes) and encourage them to actively cooperate in the stability and security of the Blockchain network to which they belong. We have studied and analyzed existing systems that, in generally favour the monopoly of rewards by assigning them either only to the leader node (elected by a consensus algorithm), or letting the leader profit from a large portion of the rewards and distribute the remainder of these rewards to a short list of unelected participants. The result of our study clearly indicate that our approach offers more opportunities and benefits to participants by ensuring them permanent, dynamic and proportionate rewards based on their scores and compliance rates. The latter is part of a gradual penalization system that verifies the conformity of each node with the rules of the Blockchain protocol.

Mohamed Ouzzif

Papers

Supporting ITIL processes implementation using business process management systems

Data security of smart cities

Deep Learning for Packet Forwarding with an Application for Real Time IoT

Comparative analysis of contention oriented power saving based medium access control Protocols for wireless sensor networks

Towards a New Reward and Punishment Approach for Blockchain-based System