Examining Interplay of Compression and Encryption and Applicability to 5G Teleoperations.
CoRR(2023)
摘要
Modern IoT and networked systems rely on fast and secure delivery of
time-critical information. Use cases such as teleoperations require fast data
delivery over mobile networks, which despite improvements in 5G are still quite
constrained. Algorithms for encryption and compression provide security and
data size efficiency, but come with time and data size trade-offs. The impact
of these trade-offs is related to the order in which these operations are
applied, and as such necessitates a robust exploration from a performance
perspective. In this paper, we assess several compression and encryption
algorithms, combinations of their execution order, timings and size changes
from such order, and the implications of such changes on 5G teleoperations.
From our assessments we have three major takeaways: (1) Compression-First is
faster and more compressed, except for certain circumstances. (2) In these
specific circumstances, the compression against a raw file leads to a lengthier
time than if applied to an encrypted file first. (3) Applying both encryption
and compression on data samples larger than 10MB is impractical for real time
transmission due to the incurred delay.
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