Sep 2026· Computing, Communication, and Sustainable Energy Technologies· pp. 72-75
Blockchain Technology Applications and Security
Abstract
Edge computing&s;s rise enables low-latency, decentralized processing near IoT devices and sensors but exposes networks to tampering, unauthorized access, and impersonation due to resource constraints. Centralized security falls short. This paper proposes a blockchain-empowered dynamic cybersecurity platform using smart contracts for automated policies, access control, and anomaly detection. Blockchain&s;s immutable, transparent ledger fosters trust among nodes, eliminating central authorities. The architecture handles secure authentication, integrity checks, and confidential sharing, with real-time policy updates adapting to threats. Evaluations confirm low latency on constrained devices and optimized consensus for security-performance balance. This scalable solution enhances resilience for IoT, smart cities, healthcare, and automation.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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