Cyberspace has revolutionised our ways of life, prompting important advances in science and technology. However, the benefits of cyberspace are now threatened by the systemic risk of proliferation of offensive cyber-tools and cyber-operations. Cybersecurity is the practice of protecting networks, systems and any other digital infrastructure from malicious attacks. Traditional cybersecurity relies on the static control of cyberspace security by monitoring it according to pre-defined rules. However, this passive and reactive defence methodology is no longer useful for protecting cyberspace against new cybersecurity threats. Artificial Intelligence (AI) technologies, such as machine learning and deep learning, have recently been introduced in cybersecurity to build smart models for implementing malware classification, intrusion detection, vulnerability and threat discovery. On the other hand, it is important to consider that AI can also be used by attackers to continually improve their techniques and refine their offensive capabilities. Therefore, the study of the effectiveness of both Defensive and Offensive AI is crucial to ensure modern cybersecurity equipped to deal with emerging threats provoked by malicious uses of AI.
Editorial: AI meets cybersecurity
Andresini G.;Appice A.
2023-01-01
Abstract
Cyberspace has revolutionised our ways of life, prompting important advances in science and technology. However, the benefits of cyberspace are now threatened by the systemic risk of proliferation of offensive cyber-tools and cyber-operations. Cybersecurity is the practice of protecting networks, systems and any other digital infrastructure from malicious attacks. Traditional cybersecurity relies on the static control of cyberspace security by monitoring it according to pre-defined rules. However, this passive and reactive defence methodology is no longer useful for protecting cyberspace against new cybersecurity threats. Artificial Intelligence (AI) technologies, such as machine learning and deep learning, have recently been introduced in cybersecurity to build smart models for implementing malware classification, intrusion detection, vulnerability and threat discovery. On the other hand, it is important to consider that AI can also be used by attackers to continually improve their techniques and refine their offensive capabilities. Therefore, the study of the effectiveness of both Defensive and Offensive AI is crucial to ensure modern cybersecurity equipped to deal with emerging threats provoked by malicious uses of AI.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
