Remote Sensing and Cyber Situational Awareness
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 October 2019) | Viewed by 12917
Interests: cyber defence; tactical communication technologies; situational awareness; cyber-physical systems; electronic warfare; hybrid warfare; crisis management; operational research; artificial intelligence; pattern recognition; information security
Special Issues, Collections and Topics in MDPI journals
Interests: cybersecurity; artificial intelligence; security policies; data minning
Interests: 4G/5G networks; cyber-physical systems; emulation/simulation of IT scenarios; information security; large-scale IT infrastructures; SDN/NFV
In recent years, Information and Communications Technologies (ICT) have become the backbone of global economic growth and prosperity, thus unleashing the need for a digital transformation and constituting critical resources relied upon by all economic sectors. This has led different nations to implement legislations and regulations aiming to protect their cyber assets and digital marketplaces, as is the case of the European NIS 2016/1148 or eiDAS 910/2014. At present, cyberspace is understood as the fifth domain of warfare, equally critical to military operations as land, sea, air, and space, where acquiring cyber-situational awareness is mandatory for the proper accomplishment of command and control (C2) and decision-making tasks. In this context, cyber situational awareness (CSA) brings a mission-centric reasoning and knowledge acquisition approach that aims to provide the clearest understanding of the current state of an operational environment, thus anticipating future changes and inferring risks that may compromise related actuation domains (virtual-to-live).
This involves the orchestration of a plethora of information processing actions, among them key cyber terrain (KCT) identification, dynamic risk assessment/management, incident response, or attack notification to stakeholders. These heavily rely on remote sensing capabilities like physical sensors, image processing, or spectral analysis. They monitor the cyber-physical environment looking for traits of threats such as pinpointing the location of military units; the disruption, interception, or modification of onboard satellite communications; or high-intensity radiated fields (HIRFs). The proficiency in conducting mission-centric situational awareness poses a new nuance in the emergent communication landscape, since the capabilities for acquiring contextual information of the protected domain (e.g., disruptive monitoring features, complex event correlation, smart decision-making, etc.) are significantly enhanced. Hence, conducting a truly cyber-situational awareness defense must consider taking advantage of cutting-edge platforms like the Internet of Things (IoT), wireless sensor networks (WSNs), software-defined networking (SDN), and network function virtualization (NFV), among others.
The main objective of this Special Issue is to collect contributions by leading-edge researchers from academia and industry, and to show the latest research results in the rapidly developing field of remote sensing for cyber-situational awareness, therefore providing a valuable information venue to researchers as well as practitioners. Manuscripts regarding novel algorithms, architectures, implementations, and experiences are welcome. Potential topics applied to cyber situational awareness include, but are not limited to:
- Active/passive microwave remote sensing
- Active cyber security in cyber-physical environments
- Big data on cyber-situational awareness
- Command and control
- Cyber-physical attacks and adversarial threats
- Cyber ranges
- Cyber threat intelligence
- Data fusion and data assimilation
- Dedicated satellite missions for cyber-situational awareness
- Incident correlation and aggregation
- Incident modeling and simulation
- Incident response and decision-making
- Key cyber terrain identification and assessment
- Mission planning
- Mission assessment and management
- Multi-spectral and hyperspectral remote sensing
- Network operation centers
- Physical modeling and signatures
- Resilience and recovery
- Risk assessment and management
- Root of trust and non-repudiation
- Secure architectures
- Security operations centers
- Self-organizing networks
- Situational awareness
- Standardization and notification
- Mission critical services
Dr. Jorge Maestre Vidal
Dr. Sergio Mauricio Martinez Monterrubio
Dr. Marco Antonio Sotelo Monge
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. Remote Sensing 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 2700 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.
- cyber-physical attacks
- cyber situational awareness
- incident correlation
- remote sensing
- risk assessment and management