Compared with dissipative systems, conservative systems do not have attractors, thus they
can better cope with the security risks brought by phase space reconstruction. In this paper …

When applied to practical applications, existing chaotic systems exhibit many weaknesses,
including discontinuous chaotic intervals and easily predicted chaotic signals. This study …

Chaotic systems are widely studied in various research areas such as signal processing and
secure communication. Existing chaotic systems may have drawbacks such as …

Security provisioning has become the most important design consideration for large-scale
Internet of Things (IoT) systems due to their critical roles in supporting diverse vertical …

Designing high-dimensional chaotic maps with expected dynamic properties is an attractive
but challenging task. The dynamic properties of a chaotic system can be reflected by the …

When chaotic systems are used for speech encryption, their chaotic performance largely
determines the security of speech encryption. However, traditional chaotic systems have …

While frequency-domain algorithms have been demonstrated to be powerful for
conventional nonlinear signal processing, there is still not much progress in literature …

The general Cauchy loss (GCL) criterion has been successfully proposed to improve the
performance of the Cauchy loss (CL) criterion for linear adaptive filtering in the presence of …

Detecting the existence of anomaly and localizing the faulty sensors in the Internet-of-Things
(IoT) systems are extremely critical, since the incorrect data could lead to catastrophic …

The detection of anomalous Internet-of-Things (IoT) sensor data is extremely important in
many industrial applications due to the catastrophic consequences of the faulty or unreliable …