Defense against Primary User Emulation Attacks in Cognitive Radio Networks

By Ruiliang Chen, Jung-Min "Jerry" Park, Jeffrey H. Reed. IEEE Journal on Selected Areas in Communications, 2008

723 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/84ae0d28f59f885a4c0bc84cc7f6928005d62e31

How researchers see this paper

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

In Computer Networks and Communications

1. Beibei Wang
2. K. Liu
3. A. Mukherjee
4. Brandon F. Lo
5. Martin Reisslein
6. Jing Huang
7. Ian F. Akyildiz
8. Ravikumar Balakrishnan

In Electrical and Electronic Engineering

1. Mubashir Husain Rehmani
2. Beibei Wang
3. A. Mukherjee
4. K. Liu
5. Brandon F. Lo
6. Martin Reisslein
7. Jing Huang
8. Ravikumar Balakrishnan

Citations in the corpus

• Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey (2010, background): “As a countermeasure, [254] proposed a transmitter verification scheme to verify whether a given signal is that of an incumbent transmitter by estimating its location and observing its signal characteristics.”
• Cooperative spectrum sensing in cognitive radio networks: A survey (2011, methodology): “To address this problem, a transmitter verification scheme based on localization is proposed in [99] to counter the attack.”
• Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks (2018, background): “Radio Frequency (RF) fingerprinting methods have been proposed as a countermeasure against PUE attacks [4]–[6].”
• An anti-jamming stochastic game for cognitive radio networks (2011, background): “In [17], the authors studied the primary user emulation attack, where the cognitive attackers mimic the primary signal to prevent secondary users from accessing the licensed spectrum.”
• Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols (2016, background): “In a PUE attack, a malicious node attains the PU characteristics; thus, causing the CR nodes to perceive the malicious node as a PU [230], [231].”
• Security in Cognitive Radio Networks: Threats and Mitigation (2008, background): “Some specific work has been conducted looking at attacks in dynamic spectrum access [1], [2], and was broadened to look at a variety of denial of service attacks against policy radios [3].”
• Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks (2010, background): “Like all other networks [5], CRNs are also vulnerable to various security issues.”
• A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks (2013, background): “…as those described in [22], [23], [24], [25], [26], [27], [28], [29], and (ii) contributions discussing detailed approaches for the detection and mitigation of specific attacks as those in [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47].”