Aug 2026· International Conference on Circuit, Power and Computing Technologies· pp. 1673-1678· 0 citations· 17 references
Abstract
The smart grid systems are increasingly becoming digital where the system is taking a new direction into greater operational efficiency and real time energy management. The increased number of Internet of Things (IoT) devices and communication networks has widened the area of attack as well, thus smart grids are vulnerable to more sophisticated cyber attacks like false data injection, denial-of-data manipulation and service attacks. The traditional centralized security controls are not sufficient because of the limitation of single point failure, scalability limitations, and demand decentralized and resilient security controls. The use of blockchain technology in this regard has become a potential solution in order to improve the level of security by utilizing the transparent, decentralized, and immutable features of the technology. To provide cybersecurity approaches of smart grid systems, a taxonomical structure of blockchain technology is proposed in this paper. Besides that it shows the categorization of the various techniques into secure data management, secure energy trading, device authentication, data integrity assurance and communication protection. A detailed analysis of existing works was undertaken to determine their efficiency based on the security, scale and complexity of implementation. The results of the review describe some of the major challenges, such as latency and energy overhead and provide future research opportunities on effective smart grid security frameworks.
Overall, this review demonstrates that blockchain-based cybersecurity frameworks provide a secure, transparent, and resilient foundation for protecting smart digital environments against increasingly sophisticated cyber threats while supporting trustworthy and scalable digital transformation.
M. Kayla, Crispinus Ode, Marion Sanaipei· The Eastasouth Journal of In...· 0 citations
A Blockchain-Based IoT Security Architecture that integrates distributed ledger technology, smart contracts, edge computing, and zero-trust authentication mechanisms to enhance security, privacy, and system reliability is proposed.
K. Venkatesh, Gorre Bharath, Jannu Subhas Chandra Boss· International Scientific Jou...· 0 citations
The proposed BlockSafeNet framework achieved significant improvements in secure IoT communication, privacy preservation, and AI-driven cyber threat detection within smart city infrastructures, providing a positive impact on the SC ecosystem.
Energy networks are evolving into smart grids due to the expansion of the Internet of Things. Control is automated, monitored, and adjusted by intelligent network systems. While this method does enhance sustainability, efficiency, and reliability, it does so at the expense of cybersecurity. Critical infrastructure concerns have grown as a result of smart grids’ reliance on the Internet of Things. Smart meters, sensors, communication gateways, and controllers all fall under this category. Supply of electricity, confidentiality of data, and safety of the nation are all under risk from assaults on grid parts. To protect smart grid infrastructure from targeted attacks, this project employs an Internet of Things architecture driven by cybersecurity. Regions of the grid will be protected by multilayer security, advanced threat detection, and communication protocols. The most important things are ensuring the data is secure, authenticating devices, responding adaptively, and detecting anomalies in real-time. The smart grid’s visibility, resilience, and risk reduction are enhanced by a combination of centralized intelligence and decentralized security measures. Cybersecurity for smart grids is challenging because to the large amount of data, the number of devices involved, and the requirements for real-time operations. These concerns of cybersecurity based on the Internet of Things are addressed in this article. Scalability is ensured while infrastructure is protected. Sustainable, dependable, and environmentally friendly power systems are a result of secure IoT design.
Muruganantham Angamuthu, R. Alazaidah, Arumai Shiney et al.· International Conference on...· 0 citations
Decentralized Cybersecurity Mesh Architecture (DCSMA) is a new cybersecurity architecture designed to secure distributed networks, particularly Internet of Things (IoT) environments. Unlike traditional approaches that rely on centralized control or isolated security silos, it leverages blockchain technology to enable fully decentralized security management, eliminating single points of failure and improving coordination among security components. In this paper, a practical implementation of DCSMA is presented and evaluated in an Internet of Vehicles (IoV) environment. The system is developed using a hybrid simulation framework that combines Carla for IoV scenarios and Ganache for blockchain emulation. It integrates key technologies, including Decentralized Identity (DID), Secure Multi-Party Computation (SMPC), smart contracts, and Event-Driven Architecture (EDA), to support secure communication and distributed policy enforcement. The proposed system is evaluated through multiple case studies covering data protection, communication and policy enforcement, and threat detection. Performance is analyzed using metrics such as latency, memory consumption, scalability, throughput, and transaction success rate, in addition to machine learning-based anomaly detection. The results demonstrate that the proposed implementation achieves efficient decentralized security with low overhead and effective threat detection, highlighting its suitability as a scalable and resilient cybersecurity solution for IoV and distributed IoT systems.
The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, enabling smart homes, cities and industrial systems. This rapid expansion, however, introduces significant cybersecurity vulnerabilities, leaving IoT systems increasingly exposed to both established and emerging attack techniques. This paper presents a structured critical review of IoT cybersecurity, distinguished from prior general surveys by three contributions: first, a cross-layer mapping of named, dated case studies to the specific Security-by-Design principles that would have mitigated them; second, a comparative, feasibility-based evaluation of lightweight cryptographic primitives and blockchain consensus protocols for resource-constrained devices, rather than a descriptive overview; and third, a critical appraisal of the operational limitations of AI-based and blockchain-based defences, including adversarial manipulation, data scarcity and energy cost, set against the claims commonly made for these technologies. We examine the current state of IoT security across the perception, network and application layers; the common vulnerabilities that affect these systems, from insecure device design and weak default credentials to unencrypted communications; and the real-world consequences of these flaws through recent, named case studies, including the Aisuru botnet which is active since 2024 and 2024 vulnerability disclosures affecting Mitsubishi Electric and OMRON industrial controllers. We argue that securing the IoT ecosystem requires sustained, coordinated effort from manufacturers, regulators and end-users, and we identify where current technological and regulatory responses fall short of that goal.
K. Curran, J. Kyle, Lovepreet Singh· Recent Progress in Science a...· 0 citations
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