Application of Systems-of-Systems theory to Electromagnetic Warfare Intentional Electromagnetic Interference Risk Assessment
Authors: Davies, N., Dogan, H. and Duncan, K.-A.
Journal: Systems
Volume: 13
Issue: 4
Publisher: MDPI AG
eISSN: 2079-8954
ISSN: 2079-8954
DOI: 10.3390/systems13040244
Abstract:Battlefields contain complex networks of Electromagnetic (EM) systems, owned by adversary/allied military forces and civilians, communicating intentionally or unintentionally. Attacker’s strategies may include Intentional EM Interference (IEMI) to adversary target systems, although transmitted signals may additionally degrade/disrupt allied/civilian systems (called victims). To aid decision-making processes relating to IEMI attacks, Risk Assessment (RA) is performed to determine whether interference risks to allied/civilian systems are acceptable. Currently, there is no formalized Quantitative RA Method (QRAM) capable of calculating victim risk distributions, so a novel approach is proposed to address this knowledge-gap, utilizing an Electromagnetic Warfare (EW) IEMI RA method modelling scenarios consisting of interacting EM systems within complex, dynamic, diverse and uncertain environments, using Systems-of-Systems (SoS) theory. This paper aims to address this knowledge-gap via critical analysis utilizing a case study which demonstrates the use of an Acknowledged SoS-based model as input to a QRAM capable of calculating victim risk distributions within EW IEMI RA associated scenarios. Transmitter operators possess only uncertain/fuzzy knowledge of victim systems, so it is proposed that a Moot Acknowledged System-of-Fuzzy-Systems applies to EW IEMI RA scenarios. In summary: a novel SoS description feeding a novel QRAM (supported by a systematic literature review of RA mathematical modelling techniques), are proposed to address the knowledge-gap.
Source: Manual
