Towards a Threat Model and Security Analysis for Data Cooperatives

Salau, Abiola; Dantu, Ram; Morozov, Kirill; Upadhyay, Kritagya; Badruddoja, Syed

doi:10.5220/0011328700003283

Cited by 14 publications

(6 citation statements)

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“…Technical systems vary widely (Bühler et al, 2023;distributed cooperative organisation, 2019; and must address specific considerations around at least four issues: sharing management (Bühler et al, 2023;Hafen et al, 2014), consent systems, security (Salau et al, 2022), and state policy requirements related to data protection and data intermediaries (e.g. European Union through Data Governance Act) (Bietti et al, 2021;European Commission et al, 2023).…”

Section: Socio-technical Considerationsmentioning

confidence: 99%

“…Developing large, intensely personal data stores, alongside storing querier algorithms, sets up data cooperatives as a target for hackers. Spoofing, tampering, repudiation, information disclosure, denial-of-service, and elevation of privilege attacks must all be considered in developing a threat analysis and security plan (Salau et al, 2022).…”

Section: Socio-technical Considerationsmentioning

confidence: 99%

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Decentralised content moderation

Friedl,

Morgan

2024

Internet Policy Review

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Section: Socio-technical Considerationsmentioning

confidence: 99%

Section: Socio-technical Considerationsmentioning

confidence: 99%

Decentralised content moderation

Friedl,

Morgan

2024

Internet Policy Review

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“…In the context of data cooperatives, "democratic" governance emphasizes the representational power of the cooperative, empowering traditionally underrepresented or misrepresented individuals in the digital space by providing them with a self-determined voice and equitable participation in decision-making processes [22], equitable data access, and data-driven innovation by fostering an environment of trust and cooperation. By enabling the sharing and repurposing of data, data cooperatives can generate significant economic, social, and environmental benefits for their members and the wider community [3,[17][18][19][20][23][24][25][26][27][28]. A platform cooperative, or platform co-op, also referred to as a co-operative platform in some instances, is a type of digital platform that is owned and governed by its members, who are often the platform's users, workers, or other stakeholders [29].…”

Section: Definitions Of Key Conceptsmentioning

confidence: 99%

Unlocking the Power of Digital Commons: Data Cooperatives as a Pathway for Data Sovereign, Innovative and Equitable Digital Communities

Bühler

Calzada

Cane

et al. 2023

Digital

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Network effects, economies of scale, and lock-in-effects increasingly lead to a concentration of digital resources and capabilities, hindering the free and equitable development of digital entrepreneurship, new skills, and jobs, especially in small communities and their small and medium-sized enterprises (“SMEs”). To ensure the affordability and accessibility of technologies, promote digital entrepreneurship and community well-being, and protect digital rights, we propose data cooperatives as a vehicle for secure, trusted, and sovereign data exchange. In post-pandemic times, community/SME-led cooperatives can play a vital role by ensuring that supply chains to support digital commons are uninterrupted, resilient, and decentralized. Digital commons and data sovereignty provide communities with affordable and easy access to information and the ability to collectively negotiate data-related decisions. Moreover, cooperative commons (a) provide access to the infrastructure that underpins the modern economy, (b) preserve property rights, and (c) ensure that privatization and monopolization do not further erode self-determination, especially in a world increasingly mediated by AI. Thus, governance plays a significant role in accelerating communities’/SMEs’ digital transformation and addressing their challenges. Cooperatives thrive on digital governance and standards such as open trusted application programming interfaces (“APIs”) that increase the efficiency, technological capabilities, and capacities of participants and, most importantly, integrate, enable, and accelerate the digital transformation of SMEs in the overall process. This review article analyses an array of transformative use cases that underline the potential of cooperative data governance. These case studies exemplify how data and platform cooperatives, through their innovative value creation mechanisms, can elevate digital commons and value chains to a new dimension of collaboration, thereby addressing pressing societal issues. Guided by our research aim, we propose a policy framework that supports the practical implementation of digital federation platforms and data cooperatives. This policy blueprint intends to facilitate sustainable development in both the Global South and North, fostering equitable and inclusive data governance strategies.

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“…Prediction accuracy of learning smart contracts: Smart contracts [10] of blockchain technology execute functions with static rules to secure transactions that are recorded in the distributed ledger as a result of mining a block [114,164,148,47]. Financial trades, reputation systems, legal contracts , and ownership validation are static transactions that do not require to learn updates or possess cognitive intelligence [158,156,157,155,130,131,132]. Machine learning algorithms require a dynamic update of learning models that can sustain the needs of training models at different times.…”

Section: Expected Performance Evaluationmentioning

confidence: 99%

“…Salau et al propose methods to engineer smart contracts for neighborhood-watch to alert neighbors with trusted information [27,26,132]…”

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confidence: 99%

Blockchain for AI: Smarter Contracts to Secure Artificial Intelligence Algorithms

Badruddoja

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In this dissertation, I investigate the existing smart contract problems that limit cognitive abilities. I use Taylor's serious expansion, polynomial equation, and fraction-based computations to overcome the limitations of calculations in smart contracts. To prove the hypothesis, I use these mathematical models to compute complex operations of naive Bayes, linear regression, decision trees, and neural network algorithms on Ethereum public test networks. The smart contracts achieve 95\% prediction accuracy compared to traditional programming language models, proving the soundness of the numerical derivations. Many non-real-time applications can use our solution for trusted and secure prediction services.

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Towards a Threat Model and Security Analysis for Data Cooperatives

Cited by 14 publications

References 0 publications

Decentralised content moderation

Decentralised content moderation

Unlocking the Power of Digital Commons: Data Cooperatives as a Pathway for Data Sovereign, Innovative and Equitable Digital Communities

Blockchain for AI: Smarter Contracts to Secure Artificial Intelligence Algorithms

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