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Highly Efficient Known-Plaintext Attacks against Orthogonal Blinding based Physical Layer Security

Zheng, Yao and Schulz, Matthias and Lou, Wenjing and Hou, Thomas and Hollick, Matthias (2015):
Highly Efficient Known-Plaintext Attacks against Orthogonal Blinding based Physical Layer Security.
4, In: IEEE Wireless Communications Letters, (1), pp. 34--37, DOI: 10.1109/LWC.2014.2363176,
[Article]

Abstract

In this letter, we describe highly effective known-plaintext attacks against physical layer security schemes. We substantially reduce the amount of required known-plaintext symbols and lower the symbol error rate (SER) for the attacker. In particular, we analyze the security of orthogonal blinding schemes that disturb an eavesdropper’s signal reception using artificial noise transmission. We improve the attack efficacy using fast converging optimization algorithms and combining the measurements of neighboring subchannels in a multicarrier system. We implement the enhanced attack algorithms by solving unregularized and regularized least squares problems. By means of simulation, we show that the performance of the new attack algorithms supersedes the normalized least mean square approach discussed in the work of Schulz et al., e.g., by lowering the eavesdropper’s SER by 82% while using 95% less known plaintext.

Item Type: Article
Erschienen: 2015
Creators: Zheng, Yao and Schulz, Matthias and Lou, Wenjing and Hou, Thomas and Hollick, Matthias
Title: Highly Efficient Known-Plaintext Attacks against Orthogonal Blinding based Physical Layer Security
Language: German
Abstract:

In this letter, we describe highly effective known-plaintext attacks against physical layer security schemes. We substantially reduce the amount of required known-plaintext symbols and lower the symbol error rate (SER) for the attacker. In particular, we analyze the security of orthogonal blinding schemes that disturb an eavesdropper’s signal reception using artificial noise transmission. We improve the attack efficacy using fast converging optimization algorithms and combining the measurements of neighboring subchannels in a multicarrier system. We implement the enhanced attack algorithms by solving unregularized and regularized least squares problems. By means of simulation, we show that the performance of the new attack algorithms supersedes the normalized least mean square approach discussed in the work of Schulz et al., e.g., by lowering the eavesdropper’s SER by 82% while using 95% less known plaintext.

Journal or Publication Title: IEEE Wireless Communications Letters
Volume: 4
Number: 1
Divisions: LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
20 Department of Computer Science > Sichere Mobile Netze
LOEWE > LOEWE-Zentren
20 Department of Computer Science
LOEWE
Date Deposited: 31 Dec 2016 11:08
DOI: 10.1109/LWC.2014.2363176
Identification Number: TUD-CS-2015-0153
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