The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
The Internet of Things (IoT) refers to networks of physical devices, including sensors, actuators, embedded controllers, and everyday objects, that collect and exchange data over the internet without requiring direct human operation. An IoT system typically combines a sensing layer, a communication layer using protocols such as MQTT, Zigbee, and 5G, and an application layer that processes data at the edge or in the cloud. Core research problems include energy-efficient sensor design, low-latency edge computing, interoperability across heterogeneous devices, and securing large numbers of resource-constrained endpoints against intrusion. Industry estimates suggest most enterprise-generated data will soon be processed at the network edge rather than centralized data centers, reinforcing edge computing as an active research area. IoT underpins smart homes, industrial automation, precision agriculture, connected healthcare devices, and smart city infrastructure. As a peer-reviewed, open-access IoT journal, IJACSA (an Internet of Things journal) covers IoT architectures, protocols, edge-computing strategies, and security mechanisms tested in real deployment scenarios.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed October 2026
Smart Internet of Toys (IoToys) can provide interactive learning and companionship for children, but many systems still provide limited support for guardian awareness and safety notification. This study presents the desi…
Rice is a vital crop for global food security, but its productivity is frequently threatened by diseases and pests, necessitating rapid and accurate detection. This study presents a semi-supervised deep learning approach…
Stress is a physiological and psychological response that can affect the well-being and daily functioning of an individual. In this study, we propose an IoT-enabled smart cap for real-time stress monitoring using multipl…
Agriculture has always been a field of innovation, evolving alongside technological advancements to boost productivity and address sector-specific challenges. Today, the Internet of Things (IoT), edge computing, and arti…
With the emergence of smart homes based on the Internet of Things, network-based attacks have become more prevalent and require effective and lightweight intrusion detection (ID). In this study, a Correlation-Aware Hybri…
Federated learning (FL) enables distributed intrusion detection without centralizing raw Internet of Things (IoT), Industrial IoT (IIoT), or Internet of Medical Things (IoMT) traffic. Secure aggregation protects update c…
Industry 4.0 systems increasingly require distributed decision-making capabilities to manage heterogeneous resources, large volumes of data, and time-sensitive operational constraints. This study proposes a distributed i…
Reactive jamming attacks are prevalent in low power Internet of Things networks and are severely affecting the performance of IoT nodes. Existing anti-jamming studies focus primarily on communication reliability. Limited…
Conventional Internet-of-Things (IoT) intrusion detection typically maps a model score directly to an alert, although autonomous defense must also determine whether the evidence is reliable, whether suspicious behavior p…
The multi-objective nature of task scheduling for novel latency-sensitive applications in IoT-Fog-Cloud hierarchies presents persistent challenges, where optimizing one QoS metric often degrades another. Although bio-ins…
