Physical Layer Security

Summary

Security of a wireless communication link has always been of great importance. In conventional wireless networks, security issues are primarily considered above the physical layer and are usually based on cryptographic methods. However, the broadcast nature of the wireless transmission medium makes eavesdropping extremely easy, and anyone within communication range can receive and possibly decode private transmission signals. Alternatively, physical layer based security explores the characteristics of the wireless channel to improve wireless transmission security. By utilizing physical layer security, it is possible to design a decentralized system that makes it impossible for malicious eavesdropper nodes to successfully decode a transmission stream. The key idea behind physical layer security is to exploit the physical characteristics of the wireless channel to provide secure communications.

Supervisor(s)

Professor Yonghui Li, Professor Branka Vucetic

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

In this project, we will use advanced game theory to develop distributed algorithms to establish secure communications for a wireless network consisting of multiple source-destination pairs from a malicious eavesdropper, through the assistance of multiple friendly jammers equipped with multiple antennas.  

Keywords

Physical layer security, game theory, distributed algorithms, matching theory

Opportunity ID

The opportunity ID for this research opportunity is: 1739

Other opportunities with Professor Yonghui Li

• Dynamic spectrum access for wireless multi-hop cognitive radio networks
• Cooperative communications for future wireless networks
• Distributed network channel coding for wireless sensor networks
• Game theory based transmission strategies for cognitive radio
• Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
• Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
• Demand Side Management in Future Smart Grid: Control, Communication, and Security
• Discovering DNA sequences based on error control codes
• Large-scale Machine-to-Machine Communications Networks
• Physical-layer Rateless Codes for Wireless Channels
• Interference Cancellation in Co-working WLANs
• Iterative channel estimation for high mobility MIMO-OFDM systems
• Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
• Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design

Other opportunities with Professor Branka Vucetic

• Interference Cancellation in Co-working WLANs
• Precoded multiuser MIMO and packet scheduling
• Cooperative transmission in MIMO relay broadcast channels
• Iterative channel estimation for high mobility MIMO-OFDM systems
• Dynamic spectrum access for wireless multi-hop cognitive radio networks
• Cooperative communications for future wireless networks
• Distributed network channel coding for wireless sensor networks
• Game theory based transmission strategies for cognitive radio
• Signal Processing and Disease Diagnosis in Traditional Chinese Medicine (TCM)
• Millimeter Wave Gigabit Wireless Network Design for 5th Generation (5G) Communications
• Demand Side Management in Future Smart Grid: Control, Communication, and Security
• Discovering DNA sequences based on error control codes
• Large-scale Machine-to-Machine Communications Networks
• Physical-layer Rateless Codes for Wireless Channels
• Design of Network Coding Schemes for Next Generation of Wireless Cellular Systems
• Non-orthogonal multiple access for massive Internet of Things
• Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things
• Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design