AI systems being applied to detect vulnerabilities and execute response actions toward cyberattacks. Features may include self-healing, cyber defence, decision-support, risk management, pattern detection, cyber situation consciousness, projection, malware recognition, and data correlation. The goal is to strengthen the communication and information systems security by providing AI-based network resilience, prevention, and protection against cyber threats.
Published in Chapter:
A Machine Learning-Based Cyber Defence System for an Intelligent City
Jared Piconi (La Trobe University, Australia), Omaru Maruatona (Aiculus, Australia), Alex Ng (La Trobe University, Australia), A. S. M. Kayes (La Trobe University, Australia), and Paul A. Watters (La Trobe University, Australia)
Copyright: © 2021
|Pages: 29
DOI: 10.4018/978-1-7998-5062-5.ch011
Abstract
In 2017, a Price Waterhouse report on intelligent cities advised that technology would be a key enabler for efficient management of resources for overpopulated cities. The increased reliance on technology to drive daily lives of people is the main reason why many believe that smart technology is a major part of intelligent cities. By design, intelligent cities are heavily reliant on connected devices. Consequently, reliance on technology poses the risk that any disruption of technology-based services may put human lives in danger. In this context, attacks on technological frameworks can mean attacks on the entire city. Unfortunately, there is no existing technology that is able to successfully defend against such cyberattacks. In this research, the authors review the concepts, principles, and technologies, and propose an approach for a cyber defence system, based on artificial intelligence and machine learning, to detect and prevent an integrated cyberattack.