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

A Diro, S Kaisar, AV Vasilakos, A Anwar, A Nasirian… - Computers & …, 2024 - Elsevier
Abstract Space anomaly detection plays a critical role in safeguarding the integrity and
reliability of space systems amid the rising tide of threats. This survey aims to deepen …

[HTML][HTML] Survey on security issues of routing and anomaly detection for space information networks

M Zhuo, L Liu, S Zhou, Z Tian - Scientific Reports, 2021 - nature.com
Abstract Space information networks is network systems that can receive, transmit, and
process spatial information lively. It uses satellites, stratosphere airships, Unmanned Aerial …

A stacked predictor and dynamic thresholding algorithm for anomaly detection in spacecraft

T Li, M Comer, E Delp, SR Desai… - MILCOM 2019-2019 …, 2019 - ieeexplore.ieee.org
Anomaly or abnormal behavior detection in downlinked spacecraft telemetry is a key step for
determining root cause of subsystem failures. Long Short-Term Memory networks (LSTMs) …

DFSat: Deep federated learning for identifying cyber threats in IoT-based satellite networks

N Moustafa, IA Khan, M Hassanin… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The integration of satellite systems with smart computing and networking technologies, such
as the Internet of Things (IoT), has intensely augmented sophisticated cyberattacks against …

Evaluating algorithms for anomaly detection in satellite telemetry data

J Nalepa, M Myller, J Andrzejewski, P Benecki… - Acta Astronautica, 2022 - Elsevier
Detecting anomalies in telemetry data captured on-board a spacecraft is critical to ensure its
safe operation. Although there exist various techniques for automatically detecting point …

A survey of graph-based deep learning for anomaly detection in distributed systems

AD Pazho, GA Noghre, AA Purkayastha… - … on Knowledge and …, 2023 - ieeexplore.ieee.org
Anomaly detection is a crucial task in complex distributed systems. A thorough
understanding of the requirements and challenges of anomaly detection is pivotal to the …

Spacecraft time-series anomaly detection using transfer learning

S Baireddy, SR Desai, JL Mathieson… - Proceedings of the …, 2021 - openaccess.thecvf.com
Anomaly detection in telemetry channels is a high priority for spacecraft, especially when
considering the harsh environment of space and the magnitude of launch and operation …

Spacecraft anomaly detection with attention temporal convolution networks

L Liu, L Tian, Z Kang, T Wan - Neural Computing and Applications, 2023 - Springer
Spacecraft faces various situations when carrying out exploration missions in complex
space, thus monitoring the anomaly status of spacecraft is crucial to the development of the …

PC2A: Predicting Collective Contextual Anomalies via LSTM With Deep Generative Model

S Dou, K Yang, HV Poor - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Proactive anomaly detection and diagnosis play an essential role in ensuring the security
and stability of a large-scale information technology (IT) system with thousands or even …

Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets

S Hajj, R El Sibai, J Bou Abdo… - Transactions on …, 2021 - Wiley Online Library
With the Internet's unprecedented growth and nations' reliance on computer networks, new
cyber‐attacks are created every day as means for achieving financial gain, imposing …