TY - GEN
T1 - Delay Tolerant Networks for Industry 4.0
AU - Garcia, Jose
AU - Demir, Mevlut A.
AU - Ciocarlie, Gabriela
AU - Prevost, John J.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Advances in Industry 4.0 are being increasingly incorporated into general manufacturing as stakeholders are persuaded of the benefits. One of the key technologies viewed beneficial to manufactures is the use of 5G wireless communications. While integrating 5G networks into manufacturing settings is seen as necessary to satisfy Industry 4.0 requirements, doing so risks exposing manufacturing networks to threats. While applying safeguards against these threats is critically important, maintaining high availability during active threats is also essential for manufacturing. Delay tolerant networks (DTN), first proposed by NASA for communication using space-based networks, have been shown effective in mitigating the effects of network delay, disruption, and/or disconnection. In this paper, we examine the use of DTN in manufacturing environments. We propose a method for combating network denial and delay attacks, and demonstrate how DTN's self-healing mechanisms leads to emergent behaviors that automatically safeguard manufacturing operations.
AB - Advances in Industry 4.0 are being increasingly incorporated into general manufacturing as stakeholders are persuaded of the benefits. One of the key technologies viewed beneficial to manufactures is the use of 5G wireless communications. While integrating 5G networks into manufacturing settings is seen as necessary to satisfy Industry 4.0 requirements, doing so risks exposing manufacturing networks to threats. While applying safeguards against these threats is critically important, maintaining high availability during active threats is also essential for manufacturing. Delay tolerant networks (DTN), first proposed by NASA for communication using space-based networks, have been shown effective in mitigating the effects of network delay, disruption, and/or disconnection. In this paper, we examine the use of DTN in manufacturing environments. We propose a method for combating network denial and delay attacks, and demonstrate how DTN's self-healing mechanisms leads to emergent behaviors that automatically safeguard manufacturing operations.
KW - critical manufacturing
KW - delay tolerant network
KW - DTN
KW - emergent behavior
KW - secure manufacturing
UR - https://www.scopus.com/pages/publications/85166739828
UR - https://www.scopus.com/pages/publications/85166739828#tab=citedBy
U2 - 10.1109/SoSE59841.2023.10178635
DO - 10.1109/SoSE59841.2023.10178635
M3 - Conference contribution
AN - SCOPUS:85166739828
T3 - 2023 18th Annual System of Systems Engineering Conference, SoSe 2023
BT - 2023 18th Annual System of Systems Engineering Conference, SoSe 2023
T2 - 18th Annual System of Systems Engineering Conference, SoSe 2023
Y2 - 14 June 2023 through 16 June 2023
ER -