How mathematical models in encryption obscure systemic vulnerabilities in digital infrastructure
Original framing: “Mathematical model makes image encryption more resilient to real-world uncertainty” — Phys.org
The narrative erases voices like those of *Snowden-era whistleblowers*, who exposed how encryption ‘uncertainty’ is exploited for surveillance, or *journalists in authoritarian regimes* who rely on imperfect encryption to protect sources. Marginalized communities, such as *LGBTQ+ activists* in Russia or *dissidents in China*, have developed *workarounds* for broken encryption, revealing that ‘resilience’ is often a collective, improvisational practice rather than a technical achievement. The *Global Encryption Coalition* (a group of civil society organizations) has documented how encryption standards disproportionately fail in Global South contexts due to lack of local input—a systemic bias the model ignores.
The original framing treats encryption’s 'uncertainty' as a technical problem to be solved by mathematical refinement, but this obscures how uncertainty is *politically constructed*—shaped by colonial epistemologies, state power, and corporate interests.
Indigenous data sovereignty models, historical precedents like the Crypto Wars, and marginalized voices all reveal that 'resilience' is not a neutral concept but a contested one, tied to who controls encryption standards and whose vulnerabilities are prioritized. The solution lies not in chasing 'perfect conditions' but in embracing adaptive, relational frameworks—like those inspired by *Anansi’s* trickster wisdom or *Ubuntu’s* interconnectedness—that treat uncertainty as a generative force rather than a flaw. This requires dismantling the power structures that dictate encryption’s direction, from Western tech monopolies to surveillance states, and replacing them with decentralized, culturally diverse consortia that redefine security as a collective, dynamic practice.