Special Issue "Emerging Approaches for Secure and Resilient Cyber-Physical-Social Systems"
Deadline for manuscript submissions: 20 July 2021.
Interests: energy systems; propulsive systems; fluid machinery; applied fluid dynamics; combustion
Special Issues and Collections in MDPI journals
Special Issue in Applied Sciences: Active Flow Control Technologies for Energy and Propulsive Systems
Special Issue in Energies: Volume II: Combustion and Propulsion
Special Issue in Applied Sciences: Microscale Combustion and Power Generation
Special Issue in Actuators: Prospects and Challenges for Practical Application of Plasma Actuators for Active Control of Flow
Special Issue in Energies: Energy Use for Industrial and Propulsive Applications and Carbon Emissions Reduction
Interests: data management; cyberphysical social systems; smart cities and citizen science
Interests: Operation Management; Security and Safety; Socioeconomic Transition; Complex Systems Engineering; Industry 4.0
Security, and particularly cyber-physical-social security, has gained momentum worldwide due to the emergence of high-profile cyberattacks with catastrophic consequences on physical assets and social systems. It is crucial to secure cyber-physical-social systems that are present at the core of society. As smart systems, they include both physical and computational components, which seamlessly integrate and closely interact in order to sense the constantly changing states of the real world. The power grid, the transport network, and information and communication systems are some examples of these systems. They are the society’s “Critical Infrastructures”, which are national assets, and essential to maintaining vital societal functions.
Damage or destruction of critical infrastructures by natural disasters, terrorism, and criminal activity may have negative consequences for the security of a nation and the wellbeing of its citizens. Protecting them is essential, as well as protecting the system of system relationships that a failing system has, as these could render a minor system critical under certain circumstances. These facts unveil the significant importance of increasing the capacity of the critical infrastructures to resist in case of a threat and recover quickly from damages.
Due to the latest advancements, such as sophisticated threat matrices, automation related to the fourth industrial revolution, uncertainty about threat patterns, big data management, the complexity of social functions and structures and the related consequences for privacy and protection of personal data, upcoming attacks and threats have made these critical infrastructures highly insecure. As these infrastructures are heavily interconnected, this, as a result, makes the disruption more sophisticated and targeted. The potential damage caused by human errors in control systems is no less dangerous and could cause the decay of the system.
The scenario is even more complicated by the diverse state of digitalization of critical infrastructures or their ancillary services, and by the presence of diverse stakeholders and actors in their security and safety management. Recent events have demonstrated the increase of combined physical and cyberattacks due to their interdependencies . Disruptions in the operation of a transport asset may result from many kinds of physical attacks and/or cyberattacks on installations and their interconnected systems. In addition, such attacks can easily be triggered with minimum human involvement from remote locations, thus making infrastructures more vulnerable to cyberattacks. Conversely, the involvement of people and ‘soft targets’ could be a fundamental resource in the prevention, detection, reaction, and mitigation phases.
The overall scenario is in continuous evolution, and novel emergent approaches are required to cope with the security and protection from physical and cyber threats and the correlated events.
This Special Issue will collect highly relevant and outstanding research articles that can provide solutions for securing and protecting critical infrastructures. This Special Issue will benefit the research domain and the industry as a result. The Authors are particularly encouraged to submit original articles, literature reviews, and research/discussion notes on critical infrastructures protection, and critical infrastructure cyber-physical-social resilience. Topics of interest include but are not limited to the following:
- Cyber-physical threats management;
- Cyber-physical-social systems management;
- Big data analytics for smart grids security;
- Security analytics for ICS/SCADA systems;
- New attack patterns and behavior analysis for critical infrastructure security;
- Detection and analysis for malware;
- In-stream data analytics for network monitoring;
- Big data analysis for critical Infrastructures data storage;
- CPS data stream visualization and analysis;
- Collaborative intrusion detection and multiple agents monitoring for critical infrastructure security;
- Critical-infrastructure-related big data policies and standards;
- Log analytics for critical infrastructures;
- Vulnerability analysis for critical infrastructures;
- Privacy protection for critical infrastructures;
- Security analysis of intrusion prevention systems for critical infrastructures;
- Critical infrastructure network forensics;
- Intrusion detection systems analytics;
- Security modeling and threat of critical infrastructures;
- Cybersecurity multistream analysis for critical infrastructure correlations;
- Security data collection and protection technologies;
- Trustworthy data process, aggregation, and analytics for critical infrastructure security
- Applications of cyber-physical-social system approaches in real cases
Dr. Antonella Longo
Dr. Ali A. Ardebili
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 papers will be 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. Applied Sciences 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 2000 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.
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
title: Employ ArƟficial intelligence (AI) to improve resilience of green energy systems
authors: Dr. Attia RAMADAN*, Dr. AGHHAZADEH ARDEBILI, Dr. LONGO, Dr. FICARELLA
abstract: In our modern world, the urge for green energy is highly spreading in order to satisfy the always increasing energy request and decrease emissions. In our everyday life Artificial Intelligence and its applications have been taking part in every field possible alongside the huge volume of data collected regarding green energy systems; moreover the need of joining cuƫng-edge technologies has become a must not a privilege. The purpose of this study is to review the current scholar literature on the use of AI for improving the resilience of green energy. The energy system is analyzed from a cyber-physical social perspective in order to beter stress the impact on the society. Current study revealed the significant enhancement of resilience applying AI methods and data-driven models (machine learning, deep learning, neural networks, multi-agent, big data, data mining….etc). Moreover, the challenges of implementing AI in green energy systems, and its applications are investigated in order to identify the main features of developing novel approaches to resilience of green energy systems based on AI.