This paper introduces an approach to simulate and analyze the impact of jamming and anti-jamming strategies on audio traffic, normal traffic and jamming that is applied to simulate attacks. In addition, a moving average filter is used to mitigate additional noise and detect suspicious activity, the results demonstrate the effectiveness of filtering in detecting suspicious activity peaks, which is relevant for intrusion detection systems in audio communications. The approach proposed in this paper is relevant to cybersecurity and intrusion detection in audio communications. As a matter of a fact, simulation of jamming attacks and evaluation of anti-jamming strategies are important to ensure the integrity and confidentiality of audio communications. Thus, to conclude the use of a moving average filter to detect suspicious activity is an effective technique for noise mitigation and intrusion detection.