Akademik Veri Yönetim Sistemi
IAF Astro , sa.x70423, ss.1-12, 2022 (Düzenli olarak gerçekleştirilen hakemli kongrenin bildiri kitabı)
he space environment is becoming more congested, complex, and contested, no longer being a sanctuary for space assets. The use of Artificial Intelligence (AI) technologies is on the rise everywhere in the
space industry. AI allows the rapid analysis of millions of events and identifies a wide range of threats –
from malware exploiting zero-day vulnerabilities to the identification of risky behaviours that may lead
to a phishing attack or the download of malicious code. These systems learn over time, they identify new
types of attacks, by analyzing the behavioural history of user-profiles, assets and networks and respond
on time to deviations from established norms. This paper attempts to answer the question of whether or
not AI can be used to prevent cyber attacks in space and explores this new avenue of AI being utilized
in the space cyber security domain. This analysis covers different AI approaches and applications used
in cyber security, such as Network Security, Vulnerability Management (Proactive versus Reactive), Prevention Control and Phishing Detection (detect, track, react, solve) and behavioural analytics, as well as
their limitations within the space sector. Secondly, the paper discusses the potential of AI for being used
to breach cyber security, particularly by introducing new attack vectors. Moreover, the paper addresses
liability issues as to the use and deployment of AI-based space applications, in particular, concerning
cyber security breaches. Finally, this work attempts to highlight the best practices of AI for cyber security in space, discuss a preliminary technical and legal roadmap, take into account the different levels of
cyber vulnerability of AI, and discuss short-term and long-term strategies in preventing cyberattacks on
AI assets in space.