The paper reviews four studies that combine blockchain and AI to secure data sharing, model integrity, and autonomous decision-making in distributed systems. It highlights how blockchain’s immutability, decentralized consensus, and verifiable provenance can address trust gaps in training data, real‑time monitoring, and automated code remediation. The authors propose a layered architecture integrating hardened models, blockchain‑anchored provenance, AI anomaly detection, and smart‑contract‑governed multi‑agent remediation, and outline open challenges in scalability, privacy‑transparency trade‑offs, and governance.
By Harsh Verma
This paper reviews blockchain-assisted intrusion detection and prevention systems for IoT and IIoT, noting that prior studies ignore the shift toward modern Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) architectures and lump blockchain’s roles together. It proposes a three‑axis taxonomy—detection‑system class, blockchain functional role, and response‑automation maturity—to classify recent research (2019‑2026). The authors identify gaps such as the lack of per‑endpoint blockchain‑anchored response loops due to latency, deployment, and community mismatches, and highlight cross‑cutting challenges like consensus latency, post‑quantum cryptography, smart‑contract vulnerabilities, and LLM‑based detection risks, concluding with a research agenda for hybrid on‑chain/off‑chain orchestration.
By Yahya Shahsavari, Sara Rouhani, Kaiwen Zhang
Recent advances in error-corrected qubits have accelerated the timeline for practical quantum computing. It poses a threat to cryptographic primitives used to secure financial systems, government infrastructure, communication networks, and DeFi (Decentralized Finance) ecosystems.
arXiv:2606. 10658v1 Announce Type: cross Abstract: Recent advances in error-corrected qubits have accelerated the timeline for practical quantum computing.
By Swati Sachan, Dale Fickett, Richard Buchinger, Theo Miller
arXiv:2607. 25834v1 Announce Type: cross Abstract: Quantum computers are moving from research laboratories to industrial machines accessible via the cloud and integrated into high-performance computing facilities.
By Constantin Dalyac, Alexandre Dauphin, Lo\"ic Henriet, Christophe Jurczak
arXiv:2606. 17102v1 Announce Type: cross Abstract: Quantum computing promises transformative advances across science and industry, yet the physical hardware that enables these computations remains invisible to the public: quantum processors operate inside sealed dilution refrigerators at temperatures near absolute zero, making direct observation impossible.
By Aoyu Zhang, Dongping Liu, Luyao Zhang