LEVERAGING AI FOR SECURING TELECOMMUNICATIONS NETWORKS: A TECHNICAL ANALYSIS
Keywords:
Artificial Intelligence Security, Telecommunications Networks, Advanced Persistent Threats, Network Edge Computing, Quantum-Resistant CryptographyAbstract
This comprehensive technical article explores the transformative role of Artificial Intelligence in securing telecommunications networks, particularly focusing on the evolving landscape of 5G and beyond. The article examines current security threats, including automated attacks, IoT vulnerabilities, and Advanced Persistent Threats, while detailing how AI applications enhance network security through edge computing, virtualized functions, and advanced threat detection mechanisms. The article investigates both the operational and strategic benefits of AI integration, alongside implementation challenges ranging from technical hurdles to operational considerations. The article further explores future developments in telecommunications security, including the convergence of blockchain with AI and emerging research directions in quantum-resistant algorithms and autonomous security orchestration, providing insights into the evolving landscape of network security.
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