In recent years, satellite communication systems (SCSs) have rapidly developed in terms of their role and capabilities, promoted by advancements in space launch technologies. However, this rapid development has also led to the emergence of significant security vulnerabilities, demonstrated through real-world targeted attacks such as AcidRain and AcidPour that demand immediate attention from the security community. In response, various countermeasures, encompassing both technological and policy-based approaches, have been proposed to mitigate these threats. However, the multitude and diversity of these proposals make their comparison complex, requiring a systemized view of the landscape. In this paper, we systematically categorize and analyze both attacks and defenses within the framework of confidentiality, integrity, and availability, focusing on specific threats that pose substantial risks to SCSs. Furthermore, we evaluate existing countermeasures against potential threats in SCS environments and offer insights into the security policies of different nations, recognizing the strategic importance of satellite communications as a national asset. Finally, we present prospective security challenges and solutions for future SCSs, including full quantum communication, AI-integrated SCSs, and standardized protocols for the next generation of terrestrial–space communication.

The popularity of smart home devices has led to an increase in security incidents happening in smart homes. A key measure to avoid such incidents is to authenticate users before they can interact with smart devices. However, current methods often require additional hardware. This article proposes STATION, a gesture-based authentication system, an effective gesture-based authentication method built on top of the voice interfaces already available in these smart home devices, without adding new hardware. STATION uses a gesture processing pipeline that identifies Doppler-existing frames and detects the direction of arrival of Reflection to authenticate users in low SNR environments and at longer distances. Furthermore, regarding the nature of gesture-based authentication, this system also supports detecting user liveness, preventing replay and synthesis attacks from remote attackers. The evaluation of STATION shows high accuracy with a false acceptance rate (FAR) of 0.08% and false rejection rate (FRR) of 3.10% for users within 1.5 m of the device.

With the rapid expansion of wireless infrastructure and smart devices, short video platforms have become a staple of modern digital ecosystems, offering convenience but also introducing new risks. One such risk is illicit promotional content (IPC), which encompasses deceptive or fraudulent material intended to promote products, services, or events in violation of platform policies. As these platforms grow in popularity, so too does the threat of IPC, which has adapted to the short video format, referred to here as Short Video-Illicit Promotional Content (SVIPC). The detection of SV-IPC is crucial to protect users, especially minors, from fraudulent schemes and harmful material. Current detection approaches primarily rely on image processing, text analysis, and QR code detection, limiting their effectiveness on short video platforms. This paper provides a comprehensive investigation into SV-IPC and its evasion techniques, revealing the underlying ecosystem of illicit promotion. To address these challenges, we introduce a hybrid detection framework that integrates natural language processing with video analysis. Extensive experiments conducted on Chinese TikTok validate the proposed scheme, demonstrating high effectiveness with an F1-score of 90.7%, recall of 90.3%, and precision of 91.2%. This study underscores the broader societal implications of SV-IPC and the importance of enhanced detection mechanisms.