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Brendan Grebur

dblp:118/9824 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Security and privacy · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Network security · 100%
Computer networks
1 paper
Wireless networking · 77% Cellular and mobile networks · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › cognitive radio › spectrum sensing
cooperative spectrum sensing
0.212014
ARC: Adaptive Reputation based Clustering Against Spectrum Sensing Data Falsification Attacks · IEEE Trans. Mob. Comput. 2014
Network security › wireless network security
cognitive radio network security
0.212014
ARC: Adaptive Reputation based Clustering Against Spectrum Sensing Data Falsification Attacks · IEEE Trans. Mob. Comput. 2014
Network security › wireless network security › cognitive radio network security
spectrum sensing data falsification
0.212014
ARC: Adaptive Reputation based Clustering Against Spectrum Sensing Data Falsification Attacks · IEEE Trans. Mob. Comput. 2014

Methods — techniques the papers use, named apart from their topics

reputation-based clustering · 0.4probabilistic analysis · 0.4
YearPublicationVenuePosition
2014 ARC: Adaptive Reputation based Clustering Against Spectrum Sensing Data Falsification Attacks
abstract
IEEE 802.22 is the first standard based on the concept of cognitive radio. It recommends collaborative spectrum sensing to avoid the unreliability of individual spectrum sensing while detecting primary user signals. However, it opens an opportunity for attackers to exploit the decision making process by sending false reports. In this paper, we address security issues regarding distributed node sensing in the 802.22 standard and discuss how attackers can modify or manipulate their sensing result independently or collaboratively. This problem is commonly known as spectrum sensing data falsification (SSDF) attack or Byzantine attack. To counter the different attacking strategies, we propose a reputation based clustering algorithm that does not require prior knowledge of attacker distribution or complete identification of malicious users. We provide an extensive probabilistic analysis of the performance of the algorithm. We compare the performance of our algorithm against existing approaches across a wide range of attacking scenarios. Our proposed algorithm displays a significantly reduced error rate in decision making in comparison to current methods. It also identifies a large portion of the attacking nodes and greatly minimizes the false detection rate of honest nodes.
Chowdhury Sayeed Hyder, Brendan Grebur, Li Xiao 0001, Max Ellison
IEEE Trans. Mob. Comput.2
2011 Defense against Spectrum Sensing Data Falsification Attacks in Cognitive Radio Networks
Chowdhury Sayeed Hyder, Brendan Grebur, Li Xiao 0001
SecureComm2