DELIVERY SERVICE COMPARISON FOR SECURE GROUP PROTOCOLS

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Authors
Tassopoulos, Spyridon
Subjects
MLS
Messaging Layer Security
Delivery Service
secure communications
Totem protocol
NanoMQ protocol
Paxos protocol
Raft protocol
distributed networking protocols
distributed networks
UxS
Unmanned Systems
UAS
Unmanned Aerial Systems
UAS swarm
UAV
Unmanned Aerial Vehicle
UAV swarm
USV
Unmanned Surface Vehicles
Advisors
Van Bossuyt, Douglas L.
Hale, Britta
Date of Issue
2025-03
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Secure group communication is a critical component of modern distributed systems, especially as privacy-centric messaging frameworks become increasingly fundamental for protecting sensitive data. Messaging Layer Security (MLS) offers robust end-to-end encryption tailored for large-scale, dynamic groups. Nonetheless, achieving efficient and reliable message delivery, particularly under varying network conditions and group dynamics, remains a substantial challenge that requires further exploration.This research aims to determine the most suitable delivery protocol for integration with MLS by comparing four protocols: Totem, NanoMQ, Paxos, and Raft. These protocols represent different paradigms for group communication, ranging from reliable multicast to lightweight publish-subscribe and consensus-based replication mechanisms.The protocols will be assessed based on scalability, fault tolerance, latency, and compatibility with MLS security requirements. The evaluation highlights the strengths, limitations, and trade-offs of each protocol. Totem excels in ordered message delivery, NanoMQ is well-suited for low-latency dissemination, while Paxos and Raft offer strong consistency through consensus.The results of this comparison provide practical insights for selecting or optimizing delivery services that complement MLS, ultimately enabling reliable, scalable, and secure group communication.
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Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
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