Anomaly detection for space information networks: A survey of challenges, techniques, and future directions

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DOI: 10.1016/j.cose.2024.103705 Publication Date: 2024-01-10T16:31:49Z
ABSTRACT
Space anomaly detection plays a critical role in safeguarding the integrity and reliability of space systems amid rising tide threats. This survey aims to deepen comprehension cyber threats through threat modeling, meticulously examine unique challenges detection. The identifies scalability, real-time detection, limited labeled data availability, concept drift, adversarial attacks as key based on thorough literature analysis synthesis. By extensively exploring state-of-the-art techniques, study evaluates their applicability, strengths, limitations within networks. Going beyond analysis, notable contribution this work involves integrating stream-based graph-based methods, tailored capture intricate temporal structural relationships inherent innovative hybrid approach holds promise for heightened accuracy sets stage future research endeavors. As continue evolving both number sophistication, timely provides insights, recommendations, clear roadmap researchers, engineers, practitioners fortify mechanisms.
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