iPASecIoT: An intelligent pipeline for automatic and adaptive feature extraction for secure IoT device identification and intrusion detection
Open Access
- 25 October 2025
- journal article
- Published by Elsevier in Internet of Things
- Vol. 34
Abstract
No abstract availableFunding Information
- Fundação de Amparo à Pesquisa do Estado de São Paulo (2023/07184-1 & 2024/12903-0)
This publication has 29 references indexed in Scilit:
- DI4IoT: A comprehensive framework for IoT device-type identification through network flow analysisInternet of Things, 2025
- Requirements framework for IoT device authentication using behavioral fingerprintingComputers & Security, 2025
- LFIoTDI: A lightweight and fine-grained device identification approach for IoT security enhancementComputer Communications, 2025
- A lightweight IoT device identification using enhanced behavioral-based featuresPeer-to-Peer Networking and Applications, 2024
- IoT device identification based on network trafficWireless Networks, 2024
- CICIoMT2024: A benchmark dataset for multi-protocol security assessment in IoMTInternet of Things, 2024
- IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networksComputers & Security, 2024
- Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detectionScientific Reports, 2024
- Firefly algorithm based feature selection for network intrusion detectionComputers & Security, 2019
- A comprehensive review of firefly algorithmsSwarm and Evolutionary Computation, 2013