Satellite edge computing has emerged as a promising paradigm to support global-scale low-latency services by enabling remote code execution in orbit. However, unlike terrestrial networks, satellite communication is fundamentally vulnerable to eavesdropping due to its wide broadcast range, high accessibility, and long-distance propagation, which is further exacerbated by the high altitudes allowing a vast set of potential eavesdropper positions. Despite these unique risks, most prior works have either ignored security or treated it as a uniform concern across services. In this paper, we take an initial step toward secure satellite edge computing by explicitly modeling and optimizing for security heterogeneity, i.e., diverse security demands across different services and dynamic jamming strategies. We formulate a novel optimization problem that jointly minimizes average information leakage for security-sensitive services and overall energy consumption while meeting latency constraints. To solve it, we propose a stochastic optimization-based algorithm, namelySOS, which dynamically controls code offloading, resource allocation, and jamming strategy with respect to service-specific security requirements. Extensive simulations show thatSOSoutperforms existing schemes by achieving up to a 92% reduction in average information leakage with only an 18% increase in energy consumption at the same latency compared to an existing algorithm. Moreover,SOSmaintains high jamming efficiency and leakage robustness under both colluding and non-colluding attacks. Our findings highlight a fundamental yet overlooked security-energy-latency trade-off and positionSOSas a pioneering step toward security-aware satellite edge computing.

Due to the broadcasting nature, satellite signals are vulnerable to potential eavesdropping attacks, which pose a significant security risk for users. Physical layer security (PLS) and cryptography technologies have been independently developed to address this security risk. However, the independent use of each technology in the power-limited satellite systems results in a trade-off problem between onboard power consumption and security performance due to additional encryption costs and dependence of PLS on the performance of eavesdroppers (Eves). In this paper, we integrate the PLS and cryptography considering the complementary properties of the adaptability to wireless channel characteristics and inherent message confidentiality for secure multibeam satellite networks. To this end, we estimate the eavesdropping risk as a function of the given number of Eves for independent and collaborative attacks. Moreover, we design an onboard power model utilized for transmission and computation, and Gaussian beamforming based on the eavesdropping risk. Then, we derive solutions for onboard power allocation, beam scheduling, and security algorithm selection in the non-orthogonal multiple access (NOMA) systems. Finally, we demonstrate that the secure transmission performance improves even under the increment of the eavesdropping risk, and the trade-off performance between cryptography and PLS is provided through analytical and simulation results.

Due to introduction of the non-terrestrial network (NTN) and satellite-air-terrestrial integrated network (SATIN), many applications using satellites are being expected and this will result in a severe security issue. In this paper, we propose a satellite communication security method that jointly considers signal transmission and security computation power based on the orthogonal multiple access (OMA). Before transmission, satellite estimates a security threat based on the number of eavesdroppers (Eves) in the large satellite beam coverage as wide as 50 km for LEO satellites at the L-band. With the security threat, the satellite splits onboard power for signals and security, and controls a beam size. Through the sum capacity optimization problem, we derive the optimal onboard power allocation and security algorithm selection with respect to security threats and channel conditions.

As the advanced satellite network can serve extremely diverse information data to different types of users, it is of a vital interest to achieve data security using encryption over satellite channels. However, because the avalanche effect makes encryption techniques vulnerable to bit errors in the wireless channel, a more powerful encryption technique is required. In this paper, we propose a novel method of joint encryption and channel coding, called CFB-AES-TURBO, by combining advanced encryption standard (AES) encryption and turbo coding. As we introduce turbo coding in the cipher feedback (CFB) mode with AES, our scheme can protect bits and also correct bit errors. We control system parameters of the encryption block size and the code rate, tailored to the channel state information (CSI). As a result, we can achieve processing time gains, security enhancement, and bit error rate (BER) performance improvement at the same time.