Wireless security through RF fingerprinting

By O. Ureten, Nur Serinken. Canadian journal of electrical and computer engineering, 2007

363 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Device Fingerprinting in Wireless Networks: Challenges and Opportunities (2015, methodology): “In the case, we can consider each type (to identify different type of devices) or NIC ID (to identify [6], [11], [13], [14].”
Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks (2018, methodology): “A probabilistic neural network has previously been trained to distinguish 8 IEEE 802.11b WiFi cards using the transient amplitude signal of WiFi transmissions [17].”
A Review of Radio Frequency Fingerprinting Techniques (2020, methodology): “used for different purposes like intrusion detection [7]–[9], access control [3], [10], cloning detection [11], [12] and secure localization [13].”
IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT (2016, background): “Hardware specific characteristics such as clock skew [14]–[16] or radiofrequency signature [17], [18] can be used to identify a unique”
Wireless device identification with radiometric signatures (2008, background): “The latter property is reflected in the amount of literature of the subject [5, 9, 15, 16, 28, 35].”