Enhancing Cybersecurity with AI: Anomaly Detection in Network Traffic
V. Kavitha, S. Malathi, Vishnu Priya P M, Saranya Ekambaram, B. Charith, M. Deivakani · 2025
Traditional symbol processing styles have the limitation to do so in the various and dynamic nature of ultramodern data transfers. The reason is that communication systems become more and more serious. This offers a potentially useful answer in that much of the functionality of machine literacy is afforded by data driven adaption and can offer the eventuality to ameliorate signal processing performance. The aim of this composition is to carry out a thorough investigation of several classes of machine literacy practices and their function in central fields of study like modulation recognition, noise reduction, channel estimation, and signal discovery. The study shows how machine literacy ways can provide much increase in the effectiveness, delicateness and robustness of signal processing tasks in communication systems. By doing detailed analysis and comparison you witness through this is fulfilled. Machine literacy will allow the unborn communication systems to adapt to advanced situations of robotization and smartness, which makes the progress possible in the similar fields, for instance, the Internet of Things (IoT), wireless deliverances, and other.