Blockchain is a distributed ledger technology that records transactions across a network of computers in a way that makes the resulting record difficult to alter retroactively without consensus from the network. Each block contains a cryptographically linked reference to the previous block, and consensus mechanisms, such as proof of work, proof of stake, and Byzantine fault tolerance, allow participants to agree on the ledger's state without a central authority. Beyond its origin in cryptocurrencies such as Bitcoin, blockchain supports smart contracts, self-executing code on platforms like Ethereum, supply chain traceability, digital identity verification, and decentralized finance applications. Industry surveys report that nearly 90 percent of global businesses are exploring blockchain applications, driven by convergence with AI, IoT, and cloud technologies. Research in this area addresses scalability limitations, the energy consumption of consensus algorithms, interoperability between blockchain networks, and security vulnerabilities in smart contract code. As an open-access blockchain journal, IJACSA publishes research on blockchain architectures, consensus protocol improvements, and applied systems for security and supply chain management.
Published in International Journal of Advanced Computer Science and Applications (IJACSA)
· list last refreshed September 2026
Blockchain technology applied to digital government services platforms has introduced new possibilities for secure data sharing for public sector agencies. However, the verification and validation of critical security fa…
In this study, we investigate a parameterized method to evaluate the Zero Trust (ZT) security model integrated with blockchain networks under dynamic cyberattack conditions. Existing static trust-based security models fa…
For equity in access to higher education, scholarship schemes play a vital role. This is particularly the case with developing countries, where economic problems may become an impediment to academic betterment. In India,…
Small and medium enterprises (SMEs) require secure, efficient, and low-cost digital transaction systems. However, many blockchain-based platforms are designed for large-scale applications and impose significant computati…
Large Language Models (LLMs) have rapidly advanced the capabilities of automated reasoning and text generation, yet they continue to hallucinate when responding to domain-specific or rapidly evolving queries due to limit…
Federated learning (FL) trains a shared model without sending raw data, but some clients can be Byzantine and send harmful updates. Robust aggregation methods like Median and Krum can reduce poisoning damage, but they do…
The agricultural supply chain plays a critical role in ensuring food security and sustainability; however, it continues to face challenges related to data fragmentation, limited transparency, and insufficient trust among…
Blue carbon ecosystems have significant long-term carbon sequestration capacity, making them an important nature-based solution for climate change mitigation. However, monitoring and accounting processes are increasingly…
Virtual Power Plants (VPPs) face significant challenges in secure data management and sharing, including risks of centralized control, single points of failure, and dynamic access requirements among multiple stakeholders…
As living standards rise, people are paying increasing attention to health. Vast quantities of medical data are generated daily, yet each piece contains sensitive information such as patients’ names, mobile numbers, emai…