Combating VoIP Spam: A Real-Time Algorithmic Approach

Spam calls, formerly a relatively insignificant issue due to the restricted usage of VOIP (Voice over Internet Protocol) services, are now on the verge of becoming a serious problem because of the growing use of internet-based telephone systems. Because it provides phone service over an internet connection rather than conventional phone lines, VOIP (Voice over Internet Protocol) has cheaper prices and more features than traditional PSTN phones, which has led to its growing acceptance alongside PSTN phones. However, this development has generated new security and quality concerns, such as call eavesdropping, service theft, call manipulation, and notably spamming. Spamming is particularly problematic because of its widespread nature. Because each VoIP account is tied to an IP address, spam in VOIP poses a particularly serious threat. Spammers are able to flood voicemail systems with messages, which are often accompanied by viruses and malware. These may lower the quality of calls or even cause VoIP servers to collapse because they use an excessive amount of bandwidth. At this moment, there is no technology that is both perfect and real-time that can efficiently filter spam calls out of VoIP traffic. In this research, I provide a revolutionary real-time algorithm that utilises a mix of techniques in order to get rid of spam calls. These techniques include verifying fuzzy RTP media parameters, evaluating fuzzy MOS value, performing Turing tests, and analysing specific call information. The effectiveness of this system is proved by its capacity to monitor and evaluate the operation of VOIP systems in real time. It is able to reject calls that are thought to be spam at different stages of the verification process. The aforementioned algorithm, which has been developed for incorporation into VOIP systems, provides a potentially useful solution for the rejection of VOIP spam calls in real time.