## 1 Introduction  
Safety-critical electrical, electronic, and programmable electronic (E/E/PE) devices are evermore omnipresent as, amongst others, vehicles and machines are reaching higher levels of electrification and autonomy. Steer by wire is becoming the de facto standard, where those commands used to be given over to mechanical or hydraulic connections in the past. Due to this evolution, there will be an ever-increasing demand for limiting and reducing the safety-related risks associated with these systems to a level that is as low as reasonably practicable. In such environments, electromagnetic disturbances (EMD) can degrade the performance and the functionality of a system, device, or equipment. Protecting E/E/PE devices in safety-critical or mission-critical systems against EMD is of the utmost importance. Unfortunately, E/E/PE devices are intrinsically becoming more vulnerable to EMD owing to different trends, such as, employing smaller supply voltages to lessen heat dissipation as well as power consumption, decreasing minimum feature sizes to increase the processing power per area, and utilizing these devices in ever more EM-polluted environments [1]. Hence, countermeasures are required to cope with such circumstances. Furthermore, most of these systems will heavily depend on robust communications. From the data communication perspective, EMD induce voltages onto communication channels which in turn can lead to bit-flips in the transmitted data. Error Control Techniques (ECT) have been developed and employed for controlling errors over noisy communication channels [2]. Forward Error Correction (FEC) is a well-known ECT that is commonly used in the lower-layer of the protocol stack. FEC has the capability to recover data without asking for retransmission when a limited number of errors are introduced. Accordingly, FEC adds redundant information to the data words at the data producer side and generates a dictionary of valid code words. Thereafter, it uses this information to detect and correct the possibly corrupted code words at the consumer side. This technique, however, has a major vulnerability. In case a code word becomes corrupted in such a way that it turns into another valid code word, FEC is not able to detect this corruption. This is also known as undetected corrupted data (UCD). From a safety viewpoint, the number of UCD must be mitigated to a level as low as reasonably practicable to avoid severe harm to users, bystanders, and environments. In previous studies, this vulnerability was investigated for single bit error detection and/or correction codes, such as CRC [3], Hamming [4], and Triplication [5; 6; 7], to deal with single-frequency EMD. This paper studies the effectiveness of a block-based FEC, known as Reed-Solomon Codes (RS Codes) [8]. In recent years, new techniques have been emerged to improve the bit error rate performance of RS Codes over Additive White Gaussian Noise (AWGN) and Rayleigh channels such as multipath diversity approach [9]. Additionally, techniques based on deep learning models [10; 11] as well as low complexity chase decoding [12; 13] have been introduced to enhance the decoding capability of RS Codes. While RS Codes performance over these channels has been thoroughly scrutinized in recent years [14; 15; 16; 17], this paper is, to the authors' knowledge, the first to conduct this study in light of single-frequency EMDs. In this regard, this study uses the simplified version of the EMD fault model proposed by [6; 7]. This model efficiently simulates incoming EMD and their effect on RS Codes. The main objective of this study is to investigate in depth why and under what circumstances RS Codes are incapable of detecting corrupted data (i.e., UCD). In addition, this paper provides a countermeasure to enhance the resilience of this technique against single-frequency EMD by mitigating the number of UCD. The contributions of this study are threefold.