The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
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
Although cloud storage platforms are widely used to safeguard personal images, data leakage and unauthorized access remain persistent threats, exposing sensitive visual content. Linear obfuscation methods such as Gaussia…
Electronic Health Record (EHR) systems store sensitive patient information and require strong access control and reliable audit records. Traditional centralized Role-Based Access Control (RBAC) systems may be vulnerable…
Service uptime monitoring infrastructure is a high-value target for data-integrity attacks: a single compromised or dishonest monitoring provider can fabricate availability records, retroactively suppress outage evidence…
The rapid evolution of digital payment technologies has highlighted critical challenges in ensuring data security, transparency, and compliance across centralized tokenization systems. Traditional models such as those us…
Cloud computing provides scalable infrastructure but introduces critical challenges to data privacy, trust management, and intrusion detection. To address these issues, we present a trust-aware framework that integrates…
With the fast growth of the Internet of Things (IoT), the problem of secure and energy-efficient data exchange in resource-constrained settings has become even more challenging. The traditional cryptographic systems (RSA…
The practical utilization of the conventional Ciphertext-Policy Attribute-Based Encryption (CP-ABE) systems in a vast cloud has the constraint of the high cost of computation and the high risk of quantum-powered adversa…
Land registration and urban zoning are very important jobs for the government, but in many places, they still have problems with old processes, corruption, and a lack of openness. Urbanization and population growth are p…
AI models are highly effective and reliable based on integrity, provenance, and controlled usage of training data. The use of data sharing between several stakeholders in collaborative and distributed settings poses risk…
Heart disease remains one of the leading causes of mortality worldwide, motivating the development of accurate and scalable screening-support tools. This study presents an integrated framework for heart-disease status cl…
