Towards Transparent Spam Detection: Sentinel Call - A Distributed Ledger Solution for Call Filtering

The proliferation of connectivity through modern telecommunications has led to increased unwanted and disruptive calls. Such communications negatively impact user experience and trust in platforms. Currently, call filtering relies on centralized architectures that aggregate vast troves of sensitive user data within single entities, compromising privacy and ownership. Users have limited visibility into how inputs inform labeling, challenging autonomy and oversight. We present the Sentinel Call Platform, a novel blockchain-powered decentralized framework to mitigate unsolicited calls. It establishes a permissionless blockchain tailored for immutable storage of call logs and community rules, and employs a Proof-of-Spam consensus, facilitating transparent flagging of suspicious numbers through democratic participation. An initial prototype demonstrates authenticating calls while preserving anonymity. By removing centralized data flow and governance models, the solution aims to restore transparency, autonomy and trust. The modular framework integrates applications and consensus optimization. Evaluations indicate ability to handle throughput loads. This decentralized alternative enhances user protection against disruptive communications through distributed, open solutions with implications for blockchain application across data sovereignty domains.