Context-awareness for information correction and reasoning in evidence theory

Kowalski, Paweł; Jousselme, Anne-Laure

doi:10.1016/j.ijar.2022.11.009

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…Such systems are also known as evidential networks. The information provided by the myriad of sources described earlier is corrected and aligned with a common vocabulary using a mechanism such as contextual belief correction [73], behavior-based correction (BBC) [74], or its context-aware extension [10]. A set of rules elicited from the experts is used to construct a valuation network which is defined by a set of variables (some of which may be directly mapped to the observations provided by the sources whereas the others are inferred) and the relations between them [75].…”

Section: Reasoning For Situation Awarenessmentioning

confidence: 99%

“…These techniques allow for the integration of vast amounts of information from various sources and monitoring a large number of assets on a daily basis. Examples of such techniques include Bayesian Multi-Target Tracking (MTT) techniques [7]- [9], multi-reasoning systems based on the Dempster-Shafer theory [10], and anomaly detection techniques. These enable the fusion of diverse information at multiple levels.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Monitoring of Underwater Critical Infrastructures: the Nord Stream and Other Recent Case Studies

Soldi¹,

Gaglione²,

Raponi³

et al. 2023

Preprint

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The explosions on September 26th, 2022, which damaged the gas pipelines of Nord Stream 1 and Nord Stream 2, have highlighted the need and urgency of improving the resilience of Underwater Critical Infrastructures (UCIs). Comprising gas pipelines and power and communication cables, these connect countries worldwide and are critical for the global economy and stability. An attack targeting multiple of such infrastructures simultaneously could potentially cause significant damage and greatly affect various aspects of daily life. Due to the increasing number and continuous deployment of UCIs, existing underwater surveillance solutions, such as Autonomous Underwater Vehicles (AUVs) or Remotely Operated Vehicles (ROVs), are not adequate enough to ensure thorough monitoring.We show that the combination of information from both underwater and above-water surveillance sensors enables achieving Seabed-to-Space Situational Awareness (S3A), mainly thanks to Artificial Intelligence (AI) and Information Fusion (IF) methodologies. These are designed to process immense volumes of information, fused from a variety of sources and generated from monitoring a very large number of assets on a daily basis. The learned knowledge can be used to anticipate future behaviors, identify threats, and determine critical situations concerning UCIs.To illustrate the capabilities and importance of S3A, we consider three events that occurred in the second half of 2022: the aforementioned Nord Stream explosions, the cutoff of the underwater communication cable SHEFA-2 connecting the Shetland Islands and the UK mainland, and the suspicious activity of a large vessel in the Adriatic Sea. Specifically, we provide analyses of the available data, from Automatic Identification System (AIS) and satellite data, integrated with possible contextual information, e.g., bathymetry, Patterns Of Life (POLs), weather conditions, and human intelligence (HUMINT).

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