Autonomous Adaptive Security Framework for 5G-Enabled IoT

TL;DR

This paper presents an autonomous adaptive security framework for 5G-enabled IoT that uses advanced analytics and feedback loops to dynamically respond to evolving cyber threats, enhancing security in critical IoT applications.

Contribution

It introduces a novel autonomous security framework that adapts in real-time to threats in 5G IoT environments, addressing vulnerabilities caused by 5G dynamics.

Findings

Framework effectively detects threats in 5G IoT networks

Adaptive responses improve security resilience

Real-time analytics enable proactive threat mitigation

Abstract

In IoT-based critical sectors, 5G can provide more rapid connection speeds, lower latency, faster downloads, and capability to connect more devices due to the introduction of new dynamics such as softwarization and virtualization. 5G-enabled IoT networks increase systems vulnerabilities to security threats due to these dynamics. Consequently, adaptive cybersecurity solutions need to be developed for 5G-enabled IoT applications to protect them against potential cyber-attacks. This task specifies new adaptive strategies of security intelligence with associated scenarios to meet the challenges of 5G-IoT characteristics. In this task we have also developed an autonomous adaptive security framework which can protect 5G-enabaled IoT dynamically and autonomously. The framework is based on a closed feedback loop of advanced analytics to monitor, analyse, and adapt to evolving threats to 5G-enanled IoT applications.