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sipaPosted by sipa
Mar 25, 2025/16:09 UTC
The discussion centers on the enhancement of transaction processing through the conveyance of linearizations or cluster/chunking information. The complexity arises from the variability of clusters between senders and receivers, which could potentially open avenues for attacks if uniformity were mandated. Specifically, an attacker could exploit this by attaching conflicting transactions to the same cluster but targeting different peers. Despite these challenges, integrating such information as a supplementary improvement remains feasible. This is attributed to the adaptability of the linearization merging algorithm, which can integrate the incoming linearization with the receiver's pre-existing cluster data, notwithstanding discrepancies between their clusters.
Furthermore, the dialogue underscores the indispensability of developing a robust, efficient linearization algorithm capable of executing during relay or transaction processing phases. This necessity stems from the inherent limitations of solely relying on transmitted linearization data due to the potential for disparities between sender and receiver clusters. As such, a dual approach that combines the benefits of transmitted cluster information with a powerful, locally executed linearization algorithm presents a promising pathway to enhancing transaction processing efficacy while mitigating security risks.
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