NDLI: Robust cooperative sensing via state estimation in cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Min, A.W. Kyu-Han Kim Shin, K.G.
Copyright Year	2011
Description	Author affiliation: Real-Time Computing Laboratory, EECS Dept., The University of Michigan, Ann Arbor, MI 48109-2121 (Min, A.W.; Shin, K.G.) \|\| Deutsche Telekom Inc., R&D Laboratories USA, Los Altos, CA 94022-1530 (Kyu-Han Kim)
Abstract	Cooperative sensing, a key enabling technology for dynamic spectrum access, is vulnerable to various sensing-targeted attacks, such as the primary user emulation or spectrum sensing data falsification. These attacks can easily disrupt the primary signal detection process, thus crippling the operation of dynamic spectrum access. While such sensing-targeted attacks can be easily launched by an attacker, it is very challenging to design a robust cooperative spectrum sensing scheme due mainly to the practical constraints inherent in spectrum sensing, particularly the shared/open nature of the wireless medium and the unpredictability of signal propagation. In this paper, we develop an efficient, yet simple attack detection framework, called IRIS (robust cooperatIve sensing via iteRatIve State estimation), that safeguards the incumbent detection process by checking the consistency among sensing reports via the estimation of system states, namely, the primary user's transmit-power and path-loss exponent. The key insight behind the design of IRIS is that the sensing results are governed by the network topology and the law of signal propagation, which cannot be easily compromised by an attacker. Consequently, the sensing reports must demonstrate consistency among themselves in estimating system states. Our analytical and simulation results show that, by performing consistency-checks, IRIS provides high attack-detection capability, and preserves satisfactory performance in estimating the system states even under very challenging attack scenarios. Based on these observations, we propose a new incumbent detection rule that can further improve the spectrum efficiency. IRIS can be readily deployed in infrastructure-based cognitive radio networks, such as IEEE 802.22 WRANs, with manageable processing and communication overheads.
Starting Page	185
Ending Page	196
File Size	1073725
Page Count	12
File Format	PDF
ISBN	9781457701771
e-ISBN	9781457701788
e-ISBN	9781457701764
DOI	10.1109/DYSPAN.2011.5936205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-03
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iris Transmitters Detectors Robustness State estimation Iris recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

SOCP based robust detector for cooperative spectrum sensing in MIMO cognitive radio

Multiple Beacon Based Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks

Local and cooperative spectrum sensing via Kuiper's test

Weighted soft decision for cooperative sensing in cognitive radio networks

Cooperative spectrum sensing for cognitive radio with multiple secondary users

Non-Antipodal Signaling Based Robust Detection for Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks

Reputation-based hierarchically cooperative spectrum sensing scheme in cognitive radio networks

Compressed Sensing for Wideband Cognitive Radios

Robust threshold design for cooperative sensing in cognitive radio networks

Robust cooperative sensing via state estimation in cognitive radio networks

Similar Documents

SOCP based robust detector for cooperative spectrum sensing in MIMO cognitive radio

Multiple Beacon Based Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks

Local and cooperative spectrum sensing via Kuiper's test

Weighted soft decision for cooperative sensing in cognitive radio networks

Cooperative spectrum sensing for cognitive radio with multiple secondary users

Non-Antipodal Signaling Based Robust Detection for Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks

Reputation-based hierarchically cooperative spectrum sensing scheme in cognitive radio networks

Compressed Sensing for Wideband Cognitive Radios

Robust threshold design for cooperative sensing in cognitive radio networks

Robust cooperative sensing via state estimation in cognitive radio networks