This journal focuses on the security, resilience, and operational challenges within Internet of Things (IoT) ecosystems. It addresses issues such as anomaly and intrusion detection, particularly in intelligent transportation systems, autonomous vehicles, and industrial IoT. The journal also explores privacy-preserving techniques, model compression for resource-constrained devices, and the application of machine learning and deep learning for time series forecasting and situation awareness in various IoT deployments.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Artificial IntelligenceQ1
Computer Science ApplicationsQ1
Computer Science (miscellaneous)Q1
Engineering (miscellaneous)Q1
Hardware and ArchitectureQ1
Information SystemsQ1
Management of Technology and InnovationQ1
SoftwareQ1
Subject Classification
Web of Science Categories
Computer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunications
Scopus Categories
Computer Science (miscellaneous)Information SystemsComputer Science ApplicationsManagement of Technology and InnovationHardware and ArchitectureSoftwareEngineering (miscellaneous)Artificial Intelligence
Research Topics (OpenAlex)
IoT and Edge/Fog ComputingBlockchain Technology Applications and SecurityNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesIoT Networks and ProtocolsContext-Aware Activity Recognition SystemsPrivacy-Preserving Technologies in DataAnomaly Detection Techniques and ApplicationsEnergy Efficient Wireless Sensor NetworksCloud Computing and Resource Management