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Open research questions in Access Control and Trust

78 gap statements mined from Access Control and Trust papers in our 4.5M-paper local library, which holds 410 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • Future work should add machine-checked semantics, broader malicious-security backends, fault-injection campaigns under sustained WAN partitions, stronger utility analyses for DP releases, and public archival deposition of the full benchmark artifact with a persistent DOI. Those extensions would strengthen the framework further, but they are no longer prerequisites for interpreting the present claims correctly.

    TrustDS: policy-compiled governance and verifiable evidence for cross-cloud marketplace analytics under explicit security assumptions · 2026 · DOI

  • No study evaluates attacker persistence tactics or re-authentication bypass methods following passkey removal in WebAuthn/FIDO2 systems, or measures the time window during which compromised sessions remain valid after credential revocation. The temporal and behavioral aspects of post-revocation attack surface are not characterized.

    Stopping Compromised Access After MFA: A Taxonomy of Containment Gaps and Controls · 2026 · DOI

  • None of these studies addresses user-driven deauthorization or session revocation in the context of passwordless authentication specifically, despite identifying user-driven deauthorization as an underdeveloped containment capability in MFA systems. The gap between MFA-centric revocation models and passwordless credential lifecycle management remains unexamined.

    Stopping Compromised Access After MFA: A Taxonomy of Containment Gaps and Controls · 2026 · DOI

  • Emerging opportunities in automation, artificial intelligence, and adaptive security systems should be explored. The paper suggests that future research should focus on addressing the challenges and limitations of Zero Trust Architecture.

    Zero Trust Architecture in Enterprise Networks · 2026 · DOI

  • The traditional perimeter-based security models are increasingly ineffective. The assumption that internal networks are inherently secure no longer holds true. There is a need for a new security framework that can address modern cybersecurity threats.

    Zero Trust Architecture in Enterprise Networks · 2026 · DOI

  • Classical Public Key Infrastructure provides static identity guarantees but cannot guarantee that a given transaction originates from that entity at that moment. This gap enables replay attacks, key reuse vulnerabilities, and long-term compromise cascades.

    EIDA: Ephemeral Identity Distribution Architecture · 2026 · DOI

  • The paper suggests that future research should focus on developing more effective and fair AI security taxonomies, based on harm-based classification and an extramural adversarial record. The paper suggests that future research should examine the implications of this approach on the security-law panel of the Meaning Feudalism series.

    Adversarial by Origin: How the Classification of External Influence on Machine Meaning Becomes Law Without Becoming Jurisprudence (EA-SEI-ADVERSARY-01 v1.0) · 2026 · DOI

  • The paper argues that this gap must be addressed in order to develop more effective and fair AI security taxonomies.

    Adversarial by Origin: How the Classification of External Influence on Machine Meaning Becomes Law Without Becoming Jurisprudence (EA-SEI-ADVERSARY-01 v1.0) · 2026 · DOI

  • The paper highlights the need for further research on the implications of export control directives on the development and deployment of AI models.

    EA-SEI-ADVERSARY-01 Addendum: First Confirmation Marker, Deposit Day — Export Control Directive of 12 June 2026 · 2026 · DOI

  • Future research can focus on improving the standard and expanding its scope. Future research can explore the application of the standard in other domains.

    Transparency Log Standard: AI Refusal Logic and GPAI Systemic Risk Compliance · 2026 · DOI

  • The gap is the lack of a standardised architecture for Transparency Logs.

    Transparency Log Standard: AI Refusal Logic and GPAI Systemic Risk Compliance · 2026 · DOI

  • Future research can focus on addressing the challenges of consent withdrawal after model updates. Future research can explore the application of the proposed framework in different domains.

    Adaptive Consent in Crisis AI: A Privacy-Ethics Framework for Continual Data Use in Resilient Communities · 2026 · DOI

  • Existing approaches do not address the dynamic nature of consent in emergency settings. Prior work proposes privacy reduction methods in machine learning, but these approaches do not address the gap.

    Adaptive Consent in Crisis AI: A Privacy-Ethics Framework for Continual Data Use in Resilient Communities · 2026 · DOI

  • The coverage gap analysis confirms that socket-only detection is insufficient and that DNS-layer monitoring must be the primary detection path in the current implementation.

    VALKYRIE A Dual-Layer Architecture for Legitimate, Consumer-Scale Network Privacy Protection · 2026 · DOI

  • The paper treats these as a caveated spread rather than measurements, but a firmer empirical basis for the NHI population and its anchor distribution remains an open need (Section 12).

    Post-Quantum Cryptography Migration for Agentic AI Systems · 2026 · DOI

  • The study is limited to a single-case study approach. The study does not involve a large-scale survey or quantitative data collection. The study focuses on the OpenClaw framework and may not be generalizable to other autonomous agents.

    Analisis Etika Profesional terhadap Risiko Keamanan pada Sistem OpenClaw · 2026 · DOI

  • Future research should focus on the development of more robust security mechanisms for autonomous agents. Future research should investigate the impact of autonomous agents on IT professional ethics. Future research should explore the need for more effective configuration and deployment strategies for autonomous agents.

    Analisis Etika Profesional terhadap Risiko Keamanan pada Sistem OpenClaw · 2026 · DOI

  • Autonomous AI agents require deterministic governance. Traditional security measures are insufficient.

    SAE-v1.0: Sovereign AI Execution Standard - Deterministic Governance for Autonomous AI. · 2026 · DOI

  • Current AI governance approaches are inadequate. OS-layer governance is not yet standardized.

    The Hamecohming Framework: Enterprise_AI_Governance_AbsoluteSecretTag · 2026 · DOI

  • The study suggests exploring the application of the proposed model in different domains and contexts.

    DISEÑO DE UN MODELO DE CONTROL DE ACCESO BASADO EN ROLES Y SEGURIDAD A NIVEL DE FILAS EN APIS ACADÉMICAS · 2026 · DOI

  • Improve behavioral analysis and anomaly detection using advanced and adaptive AI techniques. Multi-Platform Integration: Support seamless integration with cloud platforms and enterprise systems. Threat Intelligence: Use predictive analytics to detect and prevent emerging threats.

    ZTNA – Zero Trust Network Access · 2026 · DOI

  • Existing methods fail to account for dangerous call arguments - MCP deployments rely on coarse consent prompts, leading to consent…

    Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization · 2026

  • Developing effective access control mechanisms for institutional systems. Integrating security models into APIs. Addressing the gap in current access control systems.

    DISEÑO DE UN MODELO DE CONTROL DE ACCESO BASADO EN ROLES Y SEGURIDAD A NIVEL DE FILAS EN APIS ACADÉMICAS · 2026 · DOI

  • The relevance-authorization gap, where retrieval systems rank documents by relevance rather than authorization. Tool-mediated disclosure, where agents invoke tools with agent credentials rather than end-user authorization. Context accumulation, where multi-turn conversations persist context without per-turn policy re-validation.

    Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use · 2026 · DOI

  • The following items represent the prioritized engineering and research roadmap: 9. Quantitative coverage evaluation: measure detection precision and recall against a labeled corpus (e.g., a subset of the Englehardt & Narayanan dataset) and benchmark against Pi-hole and NextDNS under identical conditions.

    VALKYRIE A Dual-Layer Architecture for Legitimate, Consumer-Scale Network Privacy Protection · 2026 · DOI

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Open questions raised by papers listed on this page include: (1) The paper suggests that future research should focus on addressing the challenges and limitations of Zero Trust Architecture (“Zero Trust Architecture in Enterprise Networks”, 2026); (2) The paper suggests that future research should focus on developing more effective and fair AI security taxonomies, based on harm-based classification and an extramural adversarial record (“Adversarial by Origin: How the Classification of External Influence on Machine…”, 2026); (3) Future research can focus on improving the standard and expanding its scope (“Transparency Log Standard: AI Refusal Logic and GPAI Systemic Risk Compliance”, 2026); (4) Future research can focus on addressing the challenges of consent withdrawal after model updates (“Adaptive Consent in Crisis AI: A Privacy-Ethics Framework for Continual Data…”, 2026); (5) Future research should focus on the development of more robust security mechanisms for autonomous agents (“Analisis Etika Profesional terhadap Risiko Keamanan pada Sistem OpenClaw”, 2026). 78 gap statements have been mined from Access Control and Trust papers in our 4.5M-paper local library, which holds 410 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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