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Advanced IoT Systems in Smart Cities: 2nd Edition
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Advanced IoT Systems in Smart Cities: 2nd Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 2015

Special Issue Editors

Dr. Maurizio Mongelli

E-Mail Website
Guest Editor
IEIIT Institute, Consiglio Nazionale delle Ricerche (CNR), 00185 Rome, Italy
Interests: trustworthy AI; control of networks; cybersecurity; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Dr. Jerome Guzzi

E-Mail Website
Guest Editor
IDSIA Dalle Molle Institute for Artificial Intelligence, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), CH-6962 Lugano-Viganello, Switzerland
Interests: robotics; artificial intelligence; human-machine interaction; planning

Special Issue Information

Dear Colleagues,

Smart cities use digital technologies and data to support decisions and improve quality of life. They use smart technologies to better understand current conditions, predict future changes, optimize city functions, and provide better services. Sensors and actuators stand at the centre of this change. The inherent Internet of Things (IoT) architecture may impact the following applications: management of parking lots, waste management, traffic control, street lighting, utility meters and energy infrastructure, and health monitoring at home. The software and communication modules for the management of IoT infrastructure are interesting for the mentioned applications and deserve dedicated studies. The convergence of broadband deployment and emerging machine intelligence has also spurred interest in those solutions. Green deployment of the technology, together with key performance indicators of energy saving, is one of the topical challenges of IoT for smart cities. Energy harvesting/micro-power management solutions for IoT edge devices are of interest to enable retrofitted sensors to undertake condition monitoring in the mentioned smart environments.

This Special Issue calls for papers on the mentioned topics, with a specific focus on IoT technologies. Application domains in addition to those mentioned above may also include, but are not limited to, the following: video analytics monitoring, operational automation to support multimodal freight, and better infrastructure safety on urban and secondary rural roads with the combination of adaptable monitoring and maintenance solutions. Since the forthcoming management and control of IoT applications need increasing levels of autonomy, papers that explore artificial intelligence are also welcome.

We request contributions presenting techniques (methods, tools, ideas, or even market evaluations) that contribute to the future roadmap of IoT in smart cities. We welcome papers that combine both the control and communication of IoT devices. Support for requirements of IoT applications as well as real-world scenarios is also welcome. Technically sound empirical experience, scientifically founded innovative and speculative research lines, and tutorial dissertations are relevant for proposal and evaluation.

Particular interest is devoted to ongoing research projects involving the trustworthiness of AI in cyber-physical systems, such as Horizon-EU REXASI-PRO (https://cordis.europa.eu/project/id/101070028).

Dr. Maurizio Mongelli
Dr. Jerome Guzzi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heterogeneous communication (5G, satellite, broadband) of IoT in smart city scenarios
  • machine learning for IoT in smart city scenarios
  • cybersecurity IoT in smart city scenarios
  • privacy preservation of IoT sensing in the smart city
  • standardization of IoT in smart city applications
  • risk analysis of IoT infrastructure in smart ecosystems
  • energy preservation in the smart city via sensor retrofitting or redesign
  • IoT for optimal interconnection of rural areas and the city
  • video analytics of smart city scenarios
  • IoT infrastructure to improve transport in the smart city
  • health monitoring at home with hospital interconnection

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Related Special Issue

Published Papers (2 papers)

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Research

21 pages, 1205 KiB  
Article
SpecRep: Adversary Emulation Based on Attack Objective Specification in Heterogeneous Infrastructures
by Radu Marian Portase, Adrian Colesa and Gheorghe Sebestyen
Sensors 2024, 24(17), 5601; https://doi.org/10.3390/s24175601 - 29 Aug 2024
Viewed by 295
Abstract
Cybercriminals have become an imperative threat because they target the most valuable resource on earth, data. Organizations prepare against cyber attacks by creating Cyber Security Incident Response Teams (CSIRTs) that use various technologies to monitor and detect threats and to help perform forensics [...] Read more.
Cybercriminals have become an imperative threat because they target the most valuable resource on earth, data. Organizations prepare against cyber attacks by creating Cyber Security Incident Response Teams (CSIRTs) that use various technologies to monitor and detect threats and to help perform forensics on machines and networks. Testing the limits of defense technologies and the skill of a CSIRT can be performed through adversary emulation performed by so-called “red teams”. The red team’s work is primarily manual and requires high skill. We propose SpecRep, a system to ease the testing of the detection capabilities of defenses in complex, heterogeneous infrastructures. SpecRep uses previously known attack specifications to construct attack scenarios based on attacker objectives instead of the traditional attack graphs or a list of actions. We create a metalanguage to describe objectives to be achieved in an attack together with a compiler that can build multiple attack scenarios that achieve the objectives. We use text processing tools aided by large language models to extract information from freely available white papers and convert them to plausible attack specifications that can then be emulated by SpecRep. We show how our system can emulate attacks against a smart home, a large enterprise, and an industrial control system. Full article
(This article belongs to the Special Issue Advanced IoT Systems in Smart Cities: 2nd Edition)
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48 pages, 26155 KiB  
Article
A Process Algebraic Approach to Predict and Control Uncertainty in Smart IoT Systems for Smart Cities Based on Permissible Probabilistic Equivalence
by Junsup Song, Dimitris Karagiannis and Moonkun Lee
Sensors 2024, 24(12), 3881; https://doi.org/10.3390/s24123881 - 15 Jun 2024
Viewed by 705
Abstract
Process algebra is one of the most suitable formal methods to model smart IoT systems for smart cities. Each IoT in the systems can be modeled as a process in algebra. In addition, the nondeterministic behavior of the systems can be predicted by [...] Read more.
Process algebra is one of the most suitable formal methods to model smart IoT systems for smart cities. Each IoT in the systems can be modeled as a process in algebra. In addition, the nondeterministic behavior of the systems can be predicted by defining probabilities on the choice operations in some algebra, such as PALOMA and PACSR. However, there are no practical mechanisms in algebra either to measure or control uncertainty caused by the nondeterministic behavior in terms of satisfiability of the system requirements. In our previous research, to overcome the limitation, a new process algebra called dTP-Calculus was presented to verify probabilistically the safety and security requirements of smart IoT systems: the nondeterministic behavior of the systems was defined and controlled by the static and dynamic probabilities. However, the approach required a strong assumption to handle the unsatisfied probabilistic requirements: enforcing an optimally arbitrary level of high-performance probability from the continuous range of the probability domain. In the paper, the assumption from the previous research is eliminated by defining the levels of probability from the discrete domain based on the notion of Permissible Process and System Equivalences so that satisfiability is incrementally enforced by both Permissible Process Enhancement in the process level and Permissible System Enhancement in the system level. In this way, the unsatisfied probabilistic requirements can be incrementally enforced with better-performing probabilities in the discrete steps until the final decision for satisfiability can be made. The SAVE tool suite has been developed on the ADOxx meta-modeling platform to demonstrate the effectiveness of the approach with a smart EMS (emergency medical service) system example, which is one of the most practical examples for smart cities. SAVE showed that the approach is very applicable to specify, analyze, verify, and especially, predict and control uncertainty or risks caused by the nondeterministic behavior of smart IoT systems. The approach based on dTP-Calculus and SAVE may be considered one of the most suitable formal methods and tools to model smart IoT systems for smart cities. Full article
(This article belongs to the Special Issue Advanced IoT Systems in Smart Cities: 2nd Edition)
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