INVESTIGATING THE IMPACT OF AI-BASED CYBER-ATTACKS

Abstract

The use of Artificial Intelligence (AI) in cyber-attacks has increased significantly in recent years, posing a significant threat to network systems, which are critical components of global communication and navigation infrastructure. As the network industry becomes more reliant on AI for various functions, including data analysis and communication, the potential impact of AI-based cyber-attacks becomes more pronounced. This thesis investigates the impact of AI-based cyber-attacks on network. The first part of the thesis provides an overview of the current state of AI-based

cyber-attacks and their potential impact on network. It reviews the latest trends in AI- based cyber-attacks and their potential impact on network systems, including the risks

associated with compromised communication and data breaches. The thesis also examines the potential consequences of successful AI-based cyber-attacks on network, such as signal interference, loss of control, and permanent damage. The second part of the thesis proposes several strategies aimed at minimizing the risk of AI-based cyber-attacks on network systems. These strategies include the use of AI-based defense mechanisms, enhanced cybersecurity protocols, and collaborative efforts between network operators and cybersecurity experts. The thesis suggests that AI-based defense mechanisms, such as machine learning algorithms, can be used to identify and respond to cyber-attacks quickly. Enhanced cybersecurity protocols, including the use of encryption and secure communication protocols, can

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help to reduce the risk of data breaches and unauthorized access to network systems. Collaborative efforts between network operators and cybersecurity experts can also

help to develop effective strategies for preventing and responding to AI-based cyber- attacks.

In conclusion, the thesis highlights the significant threat posed by AI-based cyber-attacks on network systems and emphasizes the importance of developing effective strategies. The proposed strategies aim to safeguard the integrity and functionality of network systems by minimizing the risk of cyber-attacks. The thesis serves as a call to action for the network industry and cybersecurity community to collaborate and develop effective strategies to address this emerging threat.