شماره ركورد
16847
عنوان
مروري بر چارچوب هوش مصنوعي لبه براي تشخيص نفوذ در شبكههاي اينترنت اشيا صنعتي (IIoT)
سال تحصيل
1403
استاد راهنما
دكتر مهدى نجفى خواه
چکيده
The swift digitization of Industrial Operations has given rise to Industrial IoT (IIoT); nevertheless, existing centralized architectures are becoming progressively susceptible to Single Points of Failure (SPoF), data manipulation, and extensive cyber-attacks. The expansion of smart cities, coupled with the dependence on the Internet of Things (IoT) for real-time governance encompassing everything from utility management to traffic control presents a substantial, insecure attack surface. This seminar introduces a resilient Blockchain-Enabled IoT (BIoT) Framework, specifically engineered to fortify the "Perception Layer" of governmental infrastructure. Through the integration of lightweight cryptographic protocols and decentralized ledgers, the proposed framework obviates the need for central servers, thereby ensuring that data acquired from edge devices is timestamped, immutable, and verifiable.
This study offers a critical assessment of the "Blockchain Trilemma" within the context of public sector applications, specifically examining the inadequacies of conventional Proof of Work (PoW) consensus mechanisms in addressing the high-throughput and low-latency requirements of urban networks. As a result, this research supports the implementation of lightweight consensus models, including Proof of Authority (PoA) and modified Byzantine Fault Tolerance (BFT), which are capable of achieving milliseconds-fast finality, making them well-suited for emergency response systems. Moreover, the incorporation of smart contracts is investigated as a means of automating administrative processes such as procurement and identity management thus mitigating Operational delays and corruption. In conclusion, this seminar illustrates that the convergence of decentralized ledgers with edge intelligence offers a scalable, privacy-preserving framework for the forthcoming era of resilient digital governance.
نام دانشجو
فلاح الربيعي
تاريخ ارائه
2/18/2026 12:00:00 AM
متن كامل
89718
پديد آورنده
فلاح الربيعي
تاريخ ورود اطلاعات
1404/11/30
عنوان به انگليسي
A Review of Edge AI Framework for Intrusion Detection in Industrial IoT (IIoT) Networks
كليدواژه هاي لاتين
Blockchain-Enabled IoT (BIoT) , Decentralized Industrial IoT (IIoT) , Lightweight Consensus , Mechanisms Smart Contract Automation , Perception Layer Security