https://matjournals.net/engineering/index.php/JONSCN <p><strong>JONSCN</strong> is a peer reviewed journal in the discipline of Computer Science published by the MAT Journals Pvt. Ltd. It is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of Network Security. Network Security consists of the provisions and policies adopted by a network administrator to prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources.</p> en-US Journal of Network Security Computer Networks 2581-639X https://matjournals.net/engineering/index.php/JONSCN/article/view/4152 <p><em>The rapid proliferation of Internet of Things (IoT) deployments has shifted the security burden from centralized gateways to the far-flung edge nodes that execute mission-critical code. While a wealth of IoT-specific Integrated Development Environments (IDEs) now promise streamlined device provisioning, data model generation, and over-the-air updates, they rarely expose the security ramifications of the code they help craft. This paper presents a novel, security-by-design IDE prototype, SecureNode Studio, that embeds node-centric threat modeling, static analysis, and runtime hardening directly into the developer workflow. By coupling a domain-specific language (DSL) for secure communication primitives with an extensible rule engine that draws on the latest CVE feeds, the IDE autonomously flags insecure patterns (e.g., hard-coded credentials, unchecked buffer handling, improper TLS termination) as the programmer types. A series of controlled experiments with 48 developers across three industry sectors reveals a 42 % reduction in introduced vulnerabilities and a 27 % improvement in time to patch when compared with a conventional IoT IDE. Moreover, the IDE’s “security sandbox” emulates the constrained resources of typical sensor nodes, allowing developers to observe the performance impact of hardening measures (e.g., memory-safe allocators, cryptographic offload) before deployment. The contribution of this work is threefold: (1) a concrete design pattern for integrating security feedback loops into IoT development tools; (2) an open‑source implementation that can be retrofitted onto existing IDEs via plug-ins; and (3) empirical evidence that such integration materially raises the security posture of edge node software without sacrificing developer productivity.</em></p> Kazi Kutubuddin Sayyad Liyakat Heena T Shaikh Copyright (c) 2026 Journal of Network Security Computer Networks 2026-09-21 2026-09-21 12 3 1 9