Information technology and telecommunications have rapidly permeated various domains, resulting in a significant influx of data traversing the networks between computers. Consequently, research of cyberattacks in computer systems has become crucial for many organizations. Accordingly, recent cybersecurity incidents have underscored the rapidly evolving nature of future threats and attack methods, particularly those involving computer viruses wireless injection. This paper aims to study and demonstrate the feasibility of remote computer virus radiation injection. To achieve this objective, digital signal processing (DSP) plays a vital role. By studying the principles and models of radiation attacks and computer virus propagation, the modulation of the binary data stream of the simulated virus into a terahertz radar carrier signal by Phase-Shift Keying (PSK) is simulated, enabling the implementation of an attack through the "field to line" coupling of electromagnetic signals. Finally, the defense and countermeasures based on signal recognition are discussed for such attacks. Additionally, an idea of establishing a virus library for cyberattack signals and employing artificial intelligence (AI) algorithms for automated intrusion detection is proposed as a means to achieve cybersecurity situation awareness.

翻译：信息技术和通信已迅速渗透到各个领域，导致网络上计算机间传输的数据量显著增加。因此，针对计算机系统网络攻击的研究对许多组织来说变得至关重要。近期网络安全事件也凸显了未来威胁和攻击手段的快速演变特性，特别是涉及计算机病毒的无线注入。本文旨在研究并论证远程计算机病毒辐射注入的可行性。为实现此目标，数字信号处理（DSP）发挥了关键作用。通过研究辐射攻击和计算机病毒传播的原理与模型，模拟了将模拟病毒的二进制数据流通过相移键控（PSK）调制到太赫兹雷达载波信号中的过程，从而通过电磁信号的“场线耦合”实现攻击。最后，针对此类攻击，讨论了基于信号识别的防御与对抗措施。此外，本文还提出了建立网络攻击信号病毒库，并运用人工智能（AI）算法进行自动化入侵检测的思路，以此实现网络安全态势感知。