  Authentication and encryption are traditionally treated as two separate
processes in wireless networks, this paper integrates user authentication into
the process of solving eavesdropping attacks. A compressed sensing (CS)-based
framework is proposed which manipulates the measurement matrix of CS to
safeguard secure computationally. The framework is also capable of continuous
authentication and transmission error correction and is robust to data loss. In
detail, this paper first proposes an algorithm to generate a 2D key which
depends on the physical property of communication channels. The 2D key is
further used to generate authentication information and signal structure as
well as encrypt original data. Then an encrypted message which contains both
data and authentication information is formed for anonymous transmission. The
legal receiver can split authentication information and data, and performing a
data loss-robust and transmission error-robust authentication and recovery
strategy. The framework is evaluated quantitatively using Monte Carlo
simulation with simulated sparse signal. The secure transmission performance
and authentication performance as well as data loss robustness are
investigated. This framework provides an integrated security solution that
efficiently safeguards the confidential, privacy and robust communication in
cyber-physical systems, especially in resource-limited and safety-critical
wireless networks.
