In [13], two specific attacks against cognitive networks are analysed: primary user emulation (PUE), and sensing data falsification.
Thus, our main purpose here is the emulation of human socio-cognitive skills, so as to approach control engineering problems in an effective way at an industrial level.
One of common threats imposed to the cognitive radio (CR) network is primary user emulation attack (PUEA), where some malicious users try to mimic the primary signal and deceive secondary users to prevent them from accessing the vacant frequency.
Another testbed example it the Cognitive Radio Testbed from Berkley [12], which uses the Berkeley Emulation Engine 2 (BEE2) [13] as an implementation platform.
This paper focuses on designing an energy-efficient cognitive radio network (CRN) in the presence of a primary user emulation attacker.
This study examined the effectiveness of sequential practice from the emulation to the self-control level of the social cognitive model of self-regulated learning development.
Cooperative spectrum sensing (CSS) has been proposed as a means to protect cognitive radio networks from the well-known security threats: primary user emulation (PUE) and spectrum sensing data falsification (SSDF).
Primary user emulation (PUE) attack is the most studied specific attack deriving from new cognitive features.
"(Examples: Android, Chrome for Android, Chrome OS, Google Crawling, AdWords, ZooKeeper, BookKeeper, Pig (Hadoop), OSGi, Linux kernel control groups, network and other device drivers, cognitive computing, massive storage systems, unusual file systems, various types of virtualization, video game console emulation, and many, many others).".
Emulation triggers can emulate arbitrary cross-layer feedback and can be synchronized with other emulation effects.
Reenactment of actions on objects involves a number of social cognitive processes and exceptional care in the design of experiments is required to determine the roles played by intention-reading, emulation, and mimicry.
