Home / Current Issue / Paper 1713823
Secure Near-Zero Latency Networking
Subject area: Science,Engineering and Technology · Area of research: Network Security
DOI: 10.64388/IREV6I10-1713823
Abstract
The proliferation of real-time applications like autonomous vehicles and remote surgery has intensified the need for near-zero network latency with bounded jitter and deterministic behavior. However, latency optimizations through reduced protocol overhead and minimized buffering can expose attack surfaces, creating a security-latency trade-off where security measures violate timing constraints. This study examines approaches that co-design security with ultra-low-latency networking, focusing on edge-centric security, Zero Trust models, and secure transport protocols. Using exploratory analysis, the work evaluates architectures across latency impact, threat resilience, and scalability. The synthesis reveals patterns enabling secure near-zero latency: edge-based processing with localized trust anchors, hardware-accelerated encryption, and pre-established secure sessions. Low-overhead techniques include deterministic authentication and selective enforcement based on traffic criticality. Findings show centralized security is incompatible with near-zero latency, while distributed enforcement can maintain microsecond-scale security overhead. An integrated model combining deterministic transport and localized trust demonstrates that secure, ultra-low-latency networking is achievable through co-designed architectures.
References
[1] Beaulieu, R., Shors, D., Smith, J., Treatman-Clark, S., Weeks, B., & Wingers, L. (2015). The Simon and Speck Block Ciphers on AVR 8-Bit Microcontrollers (pp. 3–20). https://doi.org/10.1007/978-3-319-16363-5_1
[2] Briscoe, B., Brunstrom, A., Petlund, A., Hayes, D., Ros, D., Tsang, I.-J., Gjessing, S., Fairhurst, G., Griwodz, C., & Welzl, M. (2016). Reducing Internet Latency: A Survey of Techniques and Their Merits. IEEE Communications Surveys & Tutorials, 18(3), 2149–2196. https://doi.org/10.1109/comst.2014.2375213
[3] Finn, N., Thubert, P., Varga, B., & Farkas, J. (2019). Deterministic Networking Architecture (Vol. 8655). https://doi.org/10.17487/rfc8655
[4] Gallenmüller, S., Naab, J., Adam, I., & Carle, G. (2020). 5G QoS: Impact of Security Functions on Latency. 1–9. https://doi.org/10.1109/noms47738.2020.9110422
[5] Iyengar, J., & Thomson, M. (2021). QUIC: A UDP-Based Multiplexed and Secure Transport. https://doi.org/10.17487/rfc9000
[6] Okoli, C., & Schabram, K. (2011). A Guide to Conducting a Systematic Literature Review of Information Systems Research. SSRN Electronic Journal, 10(26). https://doi.org/10.2139/ssrn.1954824
[7] Popovski, P., Stefanovic, C., Nielsen, J. J., De Carvalho, E., Angjelichinoski, M., Trillingsgaard, K. F., & Bana, A.-S. (2019). Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC). IEEE Transactions on Communications, 67(8), 5783–5801. https://doi.org/10.1109/tcomm.2019.2914652
[8] Rescorla, E. (2018). The Transport Layer Security (TLS) Protocol Version 1.3 (Vol. 8446). https://doi.org/10.17487/rfc8446
[9] Sapio, A., Abdelaziz, I., Aldilaijan, A., Canini, M., & Kalnis, P. (2017). In-Network Computation is a Dumb Idea Whose Time Has Come. 150–156. https://doi.org/10.1145/3152434.3152461
[10] Satyanarayanan, M. (2017). The Emergence of Edge Computing. Computer, 50(1), 30–39. https://doi.org/10.1109/mc.2017.9
[11] Stebbins, R. (2001). Exploratory Research in the Social Sciences. Sage. https://doi.org/10.4135/9781412984249
How to cite this paper
@article{1713823,
author = {Olatunde Ayomide Olasehan, Udoka Cynthia Duruemeruo, Adebayo Ishola},
title = {Secure Near-Zero Latency Networking},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {10},
pages = {1162-1170},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1713823.pdf},
abstract = {The proliferation of real-time applications like autonomous vehicles and remote surgery has intensified the need for near-zero network latency with bounded jitter and deterministic behavior. However, latency optimizations through reduced protocol overhead and minimized buffering can expose attack surfaces, creating a security-latency trade-off where security measures violate timing constraints. This study examines approaches that co-design security with ultra-low-latency networking, focusing on edge-centric security, Zero Trust models, and secure transport protocols. Using exploratory analysis, the work evaluates architectures across latency impact, threat resilience, and scalability. The synthesis reveals patterns enabling secure near-zero latency: edge-based processing with localized trust anchors, hardware-accelerated encryption, and pre-established secure sessions. Low-overhead techniques include deterministic authentication and selective enforcement based on traffic criticality. Findings show centralized security is incompatible with near-zero latency, while distributed enforcement can maintain microsecond-scale security overhead. An integrated model combining deterministic transport and localized trust demonstrates that secure, ultra-low-latency networking is achievable through co-designed architectures.},
month = {April},
doi = {https://doi.org/10.64388/IREV6I10-1713823}
}