JAMMING STRATEGIES FOR PHYSICAL LAYER SECURITY

被引:100
作者
Huo, Yan [1 ]
Tian, Yuqi [2 ]
Ma, Liran [3 ]
Cheng, Xiuzhen [4 ]
Jing, Tao [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Shu Hua Wireless Network & Informat Percept Ctr, Beijing, Peoples R China
[3] Texas Christian Univ, Dept Comp Sci, Ft Worth, TX 76129 USA
[4] George Washington Univ, Dept Comp Sci, Washington, DC 20052 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
ARTIFICIAL-NOISE; SECRECY RATE; COMMUNICATION; EAVESDROPPER; CHANNELS;
D O I
10.1109/MWC.2017.1700015
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This article provides a comprehensive overview on jamming strategies in the physical layer for securing wireless communications. As a complement to traditional cryptography-based approaches, physical layer based security provisioning techniques offer a number of promising features that have not been previously available. Among the physical layer security techniques, jamming is an effective way to degrade the channel quality of the eavesdroppers for ensuring security. We start by giving a brief introduction to the fundamental principles of physical layer security and jamming. Then we classify jamming strategies from three different perspectives and explain the major related designs in various scenarios. Finally, we discuss the open issues of jamming that can be helpful to foster future research.
引用
收藏
页码:148 / 153
页数:6
相关论文
共 15 条
[1]  
Huang J, 2011, INT CONF ACOUST SPEE, P3424
[2]   Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization [J].
Li, Qiang ;
Ma, Wing-Kin .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (10) :2704-2717
[3]   Worst-Case Jamming for Secure Communications in Multi-Antenna Cooperative Cognitive Radio Networks with Energy Harvesting [J].
Li, Zhen ;
Jing, Tao ;
Huo, Yan ;
Qian, Jin .
2015 INTERNATIONAL CONFERENCE ON IDENTIFICATION, INFORMATION, AND KNOWLEDGE IN THE INTERNET OF THINGS (IIKI), 2015, :110-115
[4]   JOINT TRANSMIT BEAMFORMING AND ARTIFICIAL NOISE DESIGN FOR QOS DISCRIMINATION INWIRELESS DOWNLINK [J].
Liao, Wei-Cheng ;
Chang, Tsung-Hui ;
Ma, Wing-Kin ;
Chi, Chong-Yung .
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, :2562-2565
[5]   On Secrecy Rate of the Generalized Artificial-Noise Assisted Secure Beamforming for Wiretap Channels [J].
Lin, Pin-Hsun ;
Lai, Szu-Hsiang ;
Lin, Shih-Chun ;
Su, Hsuan-Jung .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2013, 31 (09) :1728-1740
[6]  
Liu WN, 2013, CROSS-CURR-EAST ASIA, P1
[7]   Jamming Games in the MIMO Wiretap Channel With an Active Eavesdropper [J].
Mukherjee, Amitav ;
Swindlehurst, A. Lee .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (01) :82-91
[8]   FIXED-RATE POWER ALLOCATION STRATEGIES FOR ENHANCED SECRECY IN MIMO WIRETAP CHANNELS [J].
Mukherjee, Amitav ;
Swindlehurst, A. Lee .
SPAWC: 2009 IEEE 10TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, 2009, :344-348
[9]  
Negi R, 2005, IEEE VTS VEH TECHNOL, P1906
[10]  
Wang C-L., 2014, P IEEE C EXP TRANSP, P1, DOI DOI 10.1109/TNET.2014.2357498