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International Conference on Computational and Information Sciences

Security in Single-Input Single-Output Multiple-helpers Wireless Channel

Xiao Chen, Yan Mei Zhu, Zhi Xue, Fangbiao Li, Jie Gu

Published Aug 1, 2012• 7 citations
Publisher

Abstract

Security is an important issue in the field of wireless communication. In this paper, the security problem of Single-input Single-output Multiple-helpers (SISOMH) wireless channel is considered. The SISOMH wireless channel, where artificial noise is utilized, is designed to prevent eavesdropping. But the artificial noise may be invalid due to the inherent security weakness. We point out that the SISOMH scheme is not safe through by matrix analysis. Then, a Helper Transmission Parameter Optimization (HTPO) scheme is proposed to fix the flow.

DOI
10.1109/iccis.2012.275

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Security is an important issue in the field of wireless communication. In this paper, the security problem of Single-input Single-output Multiple-helpers (SISOMH) wireless channel is considered. The SISOMH wireless channel, where artificial noise is utilized, is designed to prevent eavesdropping. But the artificial noise may be invalid due to the inherent security weakness. We point out that the SISOMH scheme is not safe through by matrix analysis. Then, a Helper Transmission Parameter Optimization (HTPO) scheme is proposed to fix the flow.
Matters involved with security are those fatal matters in wireless communication field. In this paper, the security problem of SISOMR (single input single output with multiple relay-nodes) wireless channel is analyzed and solved in detail. The SISOMR wireless channel with artificial noise is designed to prevent eavesdropping. However, the artificial noise may be invalid probably due to the inherent security weakness. The SISOMR scheme is not safe through our matrix analysis. Therefore, a Relay-nodes Transmission Parameter Optimization (RTPO) scheme is proposed to fix the design flow in order to enhance the original one. Finally, the secrecy capacity of RTPO-SISOMR is introduced.
Security is an important issue in the field of wireless communication. In this paper, the security problem of Multiple-inputs Single-output (MISO) wireless channel is considered. To ensure the security of communication, the transmitter utilizes some of the available power to produce 'artificial noise' that only degrades the eavesdropper's channel. But the artificial noise may be invalid possibly due to the inherent security weakness. We research the vulnerability of the MISO wireless channel with artificial noise (MISOAN) through vector analysis. Then a Blind Space Elimination (BSE) scheme is proposed and proved to fix the design flaw in order to strengthen the original one.
Security is an important issue in the field of wireless channel. In this paper, the security problem of Gaussian MIMO wireless hybrid channel is considered where a transmitter with multiple antennas sends information to an intended receiver with one antenna in the presence of an eavesdropper with multiple antennas. Through utilizing some of the power to produce `artificial noise', the transmitter can only degrade the eavesdropper's channel to ensure the security of the communication. But there is an inherent weakness in this scheme. Then a Hybrid Blind Space Elimination (HBSE) scheme is proposed and proved to fix the design flaw in order to strengthen the original scheme.
The security problem of Gaussian MIMO (multipleinputs multiple-outputs) channel is considered where a transmitter is communicating to a receiver in the presence of an eavesdropper.All the nodes are equipped with multiple antennas.Through utilizing some of the available power to produce 'artificial noise' that only degrades the eavesdropper's channel, the transmitter ensures the security of communication.However, the artificial noise could be void possibly due to the inherent security weakness.In this paper, the vulnerability of the MIMO wireless channel with artificial noise (MIMOAN) through matrix analysis is researched.Then a Matrix Blind Space Elimination (MBSE) scheme is proposed and proved to fix the design flaw in order to strengthen the original one.
At present, there has been a large amount of research on secrecy rate optimization. However, the reliability analysis of secure transmission is equally important although relatively less attention has been dedicated to. Therefore, this paper proposes a secure transmission method with artificial noise for the physical layer security issues in the transmission process of Multiple Input Multiple Output (MIMO) wireless communication systems. Firstly, we establish an artificial noise assisted MIMO systems model. Then, the channel state information (CSI) matrix is subjected to singular value decomposition to obtain the reasonable precoding and artificial noise matrices. Finally, the impact of artificial noise on the bit error rate performance of potential eavesdropper is analyzed, and based on the analysis, the problem of maximizing the system secrecy rate is established. The concave-convex procedure (CCCP) method is used to obtain the optimal power allocation, which significantly improves the security of MIMO systems. The simulation results show that using the null space of CSI matrix and artificial noise for signal encryption effectively improves the bit error rate of potential eavesdropping nodes. In addition, the secrecy rate obtained by the CCCP algorithm is consistent with the performance obtained by the particle swarm optimization algorithm, which verifies the effectiveness of the proposed algorithm.
The issue of physical layer security for wireless communication with uncoordinated cooperative jamming (UCJ) is addressed in this paper, and we focus on the secrecy rate maximization (SRM) for single-input multiple-output (SIMO) wiretap channel with a multi-antenna intended receiver and a single-antenna eavesdropper. Differing from the existing schemes, we propose a new scheme for SRM by using multiple single-antenna helpers, where each helper transmits artificial noise independently to confound the eavesdropper. Our purpose is to design the jamming power of the helpers under individual or sum power constraints to maximize the secrecy rate with the assumption that global channel state information (CSI) is available. A robust iterative optimization method for power allocation is given to solve the SRM problem, and numerical results are finally provided to illustrate the performance of the proposed method in comparison with the existing works.