  Space has been reforming and this evolution brings new threats that, together
with technological developments and malicious intent, can pose a major
challenge. Space domain awareness (SDA), a new conceptual idea, has come to the
forefront. It aims sensing, detection, identification and countermeasures by
providing autonomy, intelligence and flexibility against potential threats in
space. In this study, we first present an insightful and clear view of the new
space. Secondly, we propose an integrated SDA and communication (ISDAC) system
for attacker detection. We assume that the attacker has beam-steering antennas
and is capable to vary attack scenarios, such as random attacks on some
receiver antennas. To track random patterns and meet SDA requirements, a
lightweight convolutional neural network architecture is developed. The
proposed ISDAC system shows superior and robust performance under 12 different
attacker configurations with a detection accuracy of over 97.8%.
