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Behavioral fingerprinting of Internet‐of‐Things devices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11601494_11openalex-snapshot
Statistical Wormhole Detection in Sensor Networks
inferredcites →https://doi.org/10.1007/978-3-030-05345-1_36openalex-snapshot
Identifying Devices of the Internet of Things Using Machine Learning on Clock Characteristics
inferredcites →https://doi.org/10.1007/978-3-642-04342-0_10openalex-snapshot
Automated Behavioral Fingerprinting
inferredcites →https://doi.org/10.1007/s10207-007-0053-7openalex-snapshot
Passive classification of wireless NICs during active scanning
inferredcites →https://doi.org/10.1007/s11277-017-4652-yopenalex-snapshot
WDTF: A Technique for Wireless Device Type Fingerprinting
inferredcites →https://doi.org/10.1016/j.comnet.2018.11.013openalex-snapshot
Towards automatic fingerprinting of IoT devices in the cyberspace
inferredcites →https://doi.org/10.1109/34.824819openalex-snapshot
Statistical pattern recognition: a review
inferredcites →https://doi.org/10.1109/access.2017.2688279openalex-snapshot
Comparison of the Device Lifetime in Wireless Networks for the Internet of Things
inferredcites →https://doi.org/10.1109/bigdata.2018.8622243openalex-snapshot
IoT Devices Recognition Through Network Traffic Analysis
inferredcites →https://doi.org/10.1109/comsnets.2010.5432018openalex-snapshot
A channel-based hypothesis testing approach to enhance user authentication in wireless networks
inferredcites →https://doi.org/10.1109/comst.2015.2476338openalex-snapshot
Device Fingerprinting in Wireless Networks: Challenges and Opportunities
inferredcites →https://doi.org/10.1109/dsn.2010.5544294openalex-snapshot
A passive approach to wireless device fingerprinting
inferredcites →https://doi.org/10.1109/edcc.2017.11openalex-snapshot
Toward an Intrusion Detection Approach for IoT Based on Radio Communications Profiling
inferredcites →https://doi.org/10.1109/icdcs.2017.283openalex-snapshot
IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT
inferredcites →https://doi.org/10.1109/infcom.1999.749287openalex-snapshot
Estimation and removal of clock skew from network delay measurements
inferredcites →https://doi.org/10.1109/infcomw.2017.8116438openalex-snapshot
Characterizing and classifying IoT traffic in smart cities and campuses
inferredcites →https://doi.org/10.1109/jiot.2018.2865604openalex-snapshot
DEFT: A Distributed IoT Fingerprinting Technique
inferredcites →https://doi.org/10.1109/jsen.2015.2445094openalex-snapshot
The Power of Models: Modeling Power Consumption for IoT Devices
inferredcites →https://doi.org/10.1109/lcn.2018.8638232openalex-snapshot
Automatic Device Classification from Network Traffic Streams of Internet of Things
inferredcites →https://doi.org/10.1109/mnet.2010.5634434openalex-snapshot
Stuxnet, the real start of cyber warfare? [Editor's Note]
inferredcites →https://doi.org/10.1109/sp.2005.18openalex-snapshot
Remote physical device fingerprinting
inferredcites →https://doi.org/10.1109/tcom.1967.1089532openalex-snapshot
The Divergence and Bhattacharyya Distance Measures in Signal Selection
inferredcites →https://doi.org/10.1109/tdsc.2014.2369033openalex-snapshot
GTID: A Technique for Physical Device and Device Type Fingerprinting
inferredcites →https://doi.org/10.1109/tifs.2011.2134850openalex-snapshot
MIMO Authentication via Deliberate Fingerprinting at the Physical Layer
inferredcites →https://doi.org/10.1109/tmc.2009.145openalex-snapshot
On Fast and Accurate Detection of Unauthorized Wireless Access Points Using Clock Skews
inferredcites →https://doi.org/10.1109/tmc.2018.2866249openalex-snapshot
Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics
inferredcites →https://doi.org/10.1109/tnsm.2010.1012.0352openalex-snapshot
Machine Learning Techniques for Passive Network Inventory
inferredcites →https://doi.org/10.1145/1352533.1352542openalex-snapshot
Identifying unique devices through wireless fingerprinting
inferredcites →https://doi.org/10.1145/1352533.1352543openalex-snapshot
Active behavioral fingerprinting of wireless devices
inferredcites →https://doi.org/10.1145/1409944.1409958openalex-snapshot
On fast and accurate detection of unauthorized wireless access points using clock skews
inferredcites →https://doi.org/10.1145/1409944.1409959openalex-snapshot
Wireless device identification with radiometric signatures
inferredcites →https://doi.org/10.1145/2379776.2379782openalex-snapshot
On physical-layer identification of wireless devices
inferredcites →https://doi.org/10.1145/3266444.3266452openalex-snapshot
Behavioral Fingerprinting of IoT Devices
inferredcites →https://doi.org/10.1155/2008/495070openalex-snapshot
Passive Classification of Wireless NICs during Rate Switching
inferredcites →https://doi.org/10.1155/2008/570624openalex-snapshot
MAP Channel-Estimation-Based PIC Receiver for Downlink MC-CDMA Systems
inferredcites →https://doi.org/10.14722/ndss.2016.23142openalex-snapshot
Who's in Control of Your Control System? Device Fingerprinting for Cyber-Physical Systems
inferredcites →https://doi.org/10.48550/arxiv.1701.05007openalex-snapshot
IoTScanner: Detecting and Classifying Privacy Threats in IoT Neighborhoods
inferredcites →https://doi.org/10.5555/1602165.1602170openalex-snapshot
Transient-based identification of wireless sensor nodes
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-95-0378-0_6openalex-snapshot
NADER: Novel Adaptive Device Resolution Algorithm Using Device-Account Relationships
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111758openalex-snapshot
Defending against smishing attacks: State-of-the-art techniques, challenges, limitations, and future directions
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104459openalex-snapshot
Requirements framework for IoT device authentication using behavioral fingerprinting
inferred← citeshttps://doi.org/10.1016/j.jnca.2023.103616openalex-snapshot
HFedDI: A novel privacy preserving horizontal federated learning based scheme for IoT device identification
inferred← citeshttps://doi.org/10.1016/j.pmcj.2024.101889openalex-snapshot
A novel IoT trust model leveraging fully distributed behavioral fingerprinting and secure delegation
inferred← citeshttps://doi.org/10.1109/access.2025.3551095openalex-snapshot
Our Digital Traces in Cybersecurity: Bridging the Gap Between Anonymity and Identification
inferred← citeshttps://doi.org/10.1109/access.2025.3568673openalex-snapshot
IoT Device Identification Techniques: A Comparative Analysis for Security Practitioners
inferred← citeshttps://doi.org/10.1109/access.2026.3651297openalex-snapshot
Behavioral Fingerprinting of IoT Devices for Forensic Identification Post-Attack
inferred← citeshttps://doi.org/10.1109/comst.2025.3541165openalex-snapshot
Identification Techniques in the Internet of Things: Survey, Taxonomy and Research Frontier
inferred← citeshttps://doi.org/10.1109/iccresa57091.2022.10352506openalex-snapshot
IoT System Based on Iris Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2021.3113577openalex-snapshot
MUD-Based Behavioral Profiling Security Framework for Software-Defined IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2026.3655090openalex-snapshot
DMPF-CADA: A Confidence-Driven Adaptive Device Authentication With Dual-Modal Physical Fingerprints in Cloud–Edge IIoT
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3275850openalex-snapshot
You Can Glimpse but You Cannot Identify: Protect IoT Devices From Being Fingerprinted
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3683063openalex-snapshot
Fine-Grained IoT Device Fingerprinting Using Active Probing
inferred← citeshttps://doi.org/10.1145/3584944openalex-snapshot
Device Fingerprinting for Cyber-Physical Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3664476.3670872openalex-snapshot
SoK: A Taxonomy for Hardware-Based Fingerprinting in the Internet of Things
inferred← citeshttps://doi.org/10.1145/3675018.3675021openalex-snapshot
A Fingerprint Recognition Method Based on Deep Learning
inferred← citeshttps://doi.org/10.1145/3765613.3797446openalex-snapshot
TrackAR: AR/VR Device Fingerprinting and User-Device Pairing Detection via Shared Motion Sensor Data
inferred← citeshttps://doi.org/10.1155/2022/4336822openalex-snapshot
A Real-Time Biometric Encryption Scheme Based on Fuzzy Logic for IoT
inferred← citeshttps://doi.org/10.1155/2023/6731783openalex-snapshot
ZPA: A Smart Home Privacy Analysis System Based on ZigBee Encrypted Traffic
inferred← citeshttps://doi.org/10.25046/aj100601openalex-snapshot
TIMeFoRCE: An Identity and Access Management Framework for IoT Devices in A Zero Trust Architecture
inferred← citeshttps://doi.org/10.3390/app14209169openalex-snapshot
An Anomaly Detection Method for Oilfield Industrial Control Systems Fine-Tuned Using the Llama3 Model
inferred← citeshttps://doi.org/10.3390/electronics15040786openalex-snapshot
Wavelet-Based IoT Device Fingerprinting
inferred← citeshttps://doi.org/10.3390/fi13050117openalex-snapshot
H2O: Secure Interactions in IoT via Behavioral Fingerprinting
inferred← citeshttps://doi.org/10.3390/s21144816openalex-snapshot
Identifying and Mitigating Phishing Attack Threats in IoT Use Cases Using a Threat Modelling Approach
inferred← citeshttps://doi.org/10.3390/s23115011openalex-snapshot
IoT Traffic Analyzer Tool with Automated and Holistic Feature Extraction Capability
inferred← citeshttps://doi.org/10.3390/s26154690openalex-snapshot
Game-Theoretic Obfuscation of Wi-Fi MAC-Layer Traffic Against IoT Device Fingerprinting Attacks
inferred← citeshttps://doi.org/10.4018/979-8-3693-3451-5.ch008openalex-snapshot
User Authentication in the IoT and IIoT Environment
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