Secure Channel Training in Power Domain NOMA Systems
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Solution Overview
Problem
Current security solutions for power-domain non-orthogonal multiple access (NOMA) systems primarily focus on external eavesdropping attacks, neglecting the vulnerability to internal attacks where an attacker can register as a legitimate user, and lack protection against both inside and outside eavesdropping threats.
Innovation Solution
A secure channel training method that employs a cooperative jammer to protect against internal attacks and extends protection to undetectable external eavesdroppers by limiting channel information leakage during the channel training phase, using signal processing to manipulate phases and magnitudes of channel estimations, ensuring significant information-theoretic secrecy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If channel training information is transmitted openly to enable legitimate receivers to decode signals, then communication reliability is improved, but security against eavesdropping attacks deteriorates
Solution Approach 1:
A cooperative jammer is introduced as an intermediary device that transmits artificial noise signals to interfere with eavesdroppers. The jammer is coordinated with legitimate transmitters to provide useful interference to eavesdroppers while maintaining legitimate communication quality, thus resolving the contradiction between open channel training and security protection.
Solution Approach 2:
The system applies different signal processing treatments to different receivers based on their channel conditions. Legitimate receivers with strong channels receive processed signals that maintain quality, while eavesdroppers with weaker channels experience degraded reception due to the artificial noise and signal manipulation applied during channel training.
2Productivity
If power domain NOMA is used to increase system capacity, then productivity is improved, but security against internal attacks deteriorates
Solution Approach 1:
The system performs preliminary security measures during the channel training phase by manipulating channel estimation signals and introducing artificial noise. This preliminary anti-action prevents internal attackers from accurately obtaining channel state information before the actual communication begins, thus protecting against future information leakage.
Solution Approach 2:
The cooperative jammer acts as a mediator that introduces artificial noise specifically targeted at preventing internal attackers from decoding legitimate signals. The jammer's interference is designed to degrade the reception quality of internal attackers while maintaining the ability of legitimate users to communicate effectively.
3Reliability
If channel state information is fed back to transmitters for optimal transmission, then communication reliability is improved, but information leakage to eavesdroppers increases
Solution Approach 1:
The cooperative jammer introduces artificial noise during the channel feedback process, interfering with eavesdroppers' ability to capture channel state information. The jammer's signals are designed to mask the feedback information from eavesdroppers while allowing legitimate transmitters to receive and process the channel state information needed for optimized transmission.
Solution Approach 2:
The system changes the parameters of channel training signals by applying random phase shifts and magnitude adjustments to the feedback information. This parameter transformation makes it difficult for eavesdroppers to interpret the channel state information while preserving its usefulness for legitimate transmitters who have the proper decoding keys.
Data Source
AI summary
Secure channel training to enhance the confidentiality level of a power domain non-orthogonal multiple access (NOMA) communication system when impaired by eavesdropping attacks coming from inside and outside of the network. In a first scenario, a cooperative jammer available in the system defines an external source of entropy that is independent of the channel variation rate. While the jammer provides secrecy inside the network, the proposed invention is configured to secure the network from outside, encoding the system information, which is exchanged during the training phase, using only the channel state. In a second scenario, the cooperative jammer is not available; with the secrecy inside and outside of the network ensured through a different parameterization. That parameterization is done in a way that the required system information is encoded using not only the channels, but also a random phase defined in the data communication phase.