Attack-Tolerant Cooperative Spectrum Sensing Algorithm for Faded and Low-Power Primary User Signal Detection Over Cognitive Radio Networks

Mohammad Akbari; Abolfazl Falahati

Cognitive radio (CR) is a novel scheme that is proposed recently to overcome the spectrum scarcity problem in wireless networks through dynamic spectrum access techniques. In this realm, detection of the legitimate users, called primary user (PU), is a primary mission that must be done carefully to prohibit causing any confliction. PU detection in low signal to noise ratio (SNR) regime is one of the main challenges of CR users that measure the energy level of the PU for sensing the spectrum. This process will be more complicated when the SNR fluctuations due to wireless channel effects are taking into accounts. Another source of ambiguity is the false sensing data that might be reported by malfunctioning or malicious secondary nodes, the so called spectrum sensing data falsification attackers (SSDF). This paper utilizes the potential benefits of cooperative spectrum sensing method in a way that it can become applicable when the CR nodes encounter wireless channel uncertainty and (or) some CR nodes that behave maliciously. To this end, the estimated PU-signal and channel statistics are employed to determine the likelihood of CR sensing reports in a MAP hypothesis test scheme for decision about channel occupancy. Also, in order to determine the trustworthiness of each CR-user's data and eliminate the effect of SSDF attackers, a computational trust evaluation algorithm is proposed that is based on the resolved likelihood of CR sensing reports

Select Volume / Issues:

• Volume 6 Issue 2, Mar. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Cognitive Radio Network; Cooperative Spectrum Sensing; Low Power Detection; Maximum A Posteriori MAP Hypothesis Test; Trust Evaluation

Journal:

IJECCE

Volume:

6

Number:

2

Pages:

191-198

Month:

March

ISSN:

2278-4209