Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Decoupling trust and wireless channel induced effects on collaborative sensing attacks

Cai, Y and Cui, L and Pelechrinis, K and Krishnamurthy, P and Weiss, MBH and Mo, Y (2014) Decoupling trust and wireless channel induced effects on collaborative sensing attacks. In: UNSPECIFIED.

[img]
Preview
PDF
Updated Version
Available under License : See the attached license file.

Download (249kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

One of the most crucial functionalities of cognitive radio networks is spectrum sensing. Completing this task in an accurate manner requires opportunistic spectrum access. Traditionally, sensing has been performed through energy detection by each individual secondary user. In order to increase accuracy, individual measurements are aggregated using different fusion functions. However, even though collaborative spectrum sensing can increase accuracy under benign settings, it is prone to falsification attacks, where malicious secondary users report fake sensings. Previous studies have designed trust (reputation) based systems to contain the effect of the adversaries, ignoring to a large extent the wireless channel irregularities when performing the computation. In this paper, we decouple the reasons behind an incorrect sensing report and propose the Decoupling Trust and Capability Spectrum Sensing System (DTCS3). DTCS3 is a collaborative spectrum sensing system that takes into account both a secondary sensor node's trust and its capability to sense the channel. Through thorough evaluations that consider a large variety of attack strategies, we show that by accounting for wireless induced effects while calculating the reporting trust of a secondary user, we can significantly improve the performance of a collaborative spectrum sensing system as compared to existing schemes in the literature. In particular, the true positive/negative rates can be improved by as much as 38%, while DTCS 3 is able to track and respond to dynamic changes in the adversaries' behavior. © 2014 IEEE.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Cai, Y
Cui, Llic49@pitt.eduLIC49
Pelechrinis, Kkpele@pitt.eduKPELE0000-0002-6443-3935
Krishnamurthy, Pprashk@pitt.eduPRASHK
Weiss, MBHmbw@pitt.eduMBW0000-0001-6785-0913
Mo, Y
Date: 1 January 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: 2014 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2014
Page Range: 224 - 235
Event Type: Conference
DOI or Unique Handle: 10.1109/dyspan.2014.6817799
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
ISBN: 9781479926619
Date Deposited: 21 Feb 2014 20:58
Last Modified: 22 Jun 2021 13:55
URI: http://d-scholarship.pitt.edu/id/eprint/20615

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item