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The development of digital communications creates new challenges for spectrum surveillance. Similarly, modern signal processing techniques and increasing available computational power make communication discretion ever more difficult. In this paper, we present recent methods based on time-frequency analysis and on statistical analysis of fluctuations, that are useful for detection and identification of transmissions in a non-cooperative context. Furthermore, promising research concerning the use of chaotic signals to develop furtive transmission systems is also presented.