Securing MIMO MANET and Its Capacity Optimization: Simulation and Implementation
Abstract
Multi-input multi-output (MIMO) is becoming one of the most essential techniques to improve wireless networks, and it has demonstrated its significant theoretical value for channel capacity promoting. The MIMO Ad hoc networks or MIMO MANETs have tremendously received increasing attentions in recent years due to its enhanced transmission efficiency. The security in MIMO MANETs is a critical problem. In this project, we propose, analyze, and evaluate secure information exchange protocols for MIMO MANETs systems using the physical layer approach. In this research, we propose three secure information exchange protocols for two users in an n-hop MIMO ad-hoc network to exchange information using the physical layer s transmission models, which include one-way untrusted relay channel, two-way untrusted relay channel, and multiple access channel. In the protocol, at each time slot of the proposed n-hop information exchange protocol, a relay node acting as a receiver as well as a passive eavesdropper can only demodulate a summed signal. The total number of time slots in the proposed protocol is minimized to (n+1) as, compared to a naive protocol, using a cryptographic method to exchange two messages. The security of the protocols is analyzed against honest-but-curious adversaries and external eavesdroppers, and the leakage resilient protocols are proposed. The protocols with different parameters are implemented, simulated, and compared with existing ones. The experimental results demonstrate that the confidentiality of exchanged message is achieved in terms of bit-error-rate for the intended receivers and how the number of hops and the number of antennas influence the secrecy capacity. The research outcomes from this project improve the state-of-art solutions in terms of attack resilient new information exchange protocols and new methodologies. The developed techniques in this project will enable to design secure MIMO MANETs systems with applications in commercial communication, disaster relief, temporal networking infrastructure, military, and healthcare networks.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 22, 2019
- Source ID
- W911NF1610444
Entities
People
- Guang Gong
Organizations
- Army Contracting Command
- United States Army
- University of Waterloo