TY - CHAP
T1 - Adaptive Mitigation of Tactical Denial of Sustainability
AU - Sotelo Monge, Marco Antonio
AU - Maestre Vidal, Jorge
AU - Medenou Choumanof, Roumen Daton
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2021/8/16
Y1 - 2021/8/16
N2 - As the military sector digitalizes, there is a broader need for distributed computation and storage solutions deployable at the operational edge, which pose the potential of minimizing the conventional information exchanges by among others, proved enhancements in terms of latency and communication cost. The state of the art refers to multiple applications of edge computing with a vast value on tactical clouds, with may range from enabling optimized transmissions, to federated machine learning and data fusion services. However, very few of them explore the risks they entail in terms of sustainability, were an inappropriate orchestration of the edge capabilities may for example, mistakenly or maliciously deplete the energy sources that feed their supportive infrastructure, or cause electromagnetic alterations exploitable by electronic warfare actuations. In order to facilitate their understanding and contribute to their mitigation, this paper delves into the problematic inherent in Tactical Denial of Sustainability (TDoS) against tactical clouds. The conducted research introduces a framework to prevent TDoS and if required, identify their symptoms and mitigate their damage. The proposal is settled on the Self-Organizing Network (SON) paradigm and its Self-Protection (SP) applications, which benefits of their synergy with the Observe-Orient-Decide-Act (OODA) loop towards dynamically and adaptively triggering proportional reactions.
AB - As the military sector digitalizes, there is a broader need for distributed computation and storage solutions deployable at the operational edge, which pose the potential of minimizing the conventional information exchanges by among others, proved enhancements in terms of latency and communication cost. The state of the art refers to multiple applications of edge computing with a vast value on tactical clouds, with may range from enabling optimized transmissions, to federated machine learning and data fusion services. However, very few of them explore the risks they entail in terms of sustainability, were an inappropriate orchestration of the edge capabilities may for example, mistakenly or maliciously deplete the energy sources that feed their supportive infrastructure, or cause electromagnetic alterations exploitable by electronic warfare actuations. In order to facilitate their understanding and contribute to their mitigation, this paper delves into the problematic inherent in Tactical Denial of Sustainability (TDoS) against tactical clouds. The conducted research introduces a framework to prevent TDoS and if required, identify their symptoms and mitigate their damage. The proposal is settled on the Self-Organizing Network (SON) paradigm and its Self-Protection (SP) applications, which benefits of their synergy with the Observe-Orient-Decide-Act (OODA) loop towards dynamically and adaptively triggering proportional reactions.
KW - Cloud Computing
KW - Cyber Defence
KW - Denial of Sustainability
KW - Network Function Virtualization
KW - Self-Organizing Networks
UR - https://www.mendeley.com/catalogue/a0899856-2bd9-3449-a004-fbe8a836d5ff/
U2 - 10.1145/3465481.3470084
DO - 10.1145/3465481.3470084
M3 - Capítulo
AN - SCOPUS:85113222646
SN - 9781450390514
T3 - The 16th International Conference on Availability, Reliability and Security
SP - 104:1-104:9
BT - ACM International Conference Proceeding Series
PB - Association for Computing Machinery
T2 - 16th International Conference on Availability, Reliability and Security, ARES 2021
Y2 - 17 August 2021 through 20 August 2021
ER -