Online four dimensional trajectory prediction method based on aircraft intent updating

Zhang, Junfeng; Liu, Jie; Hu, Rong; Zhu, Haibo

doi:10.1016/j.ast.2018.03.037

Cited by 64 publications

(22 citation statements)

References 13 publications

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“…When the deviations are injected slowly enough with time, the efficiency of the detection method is eliminated. With TBO technology developing, the predictions based on four-dimensional trajectories [24] are used to make up with the model deviation for Kalman filter methods. Relying on the accurate motion model, it is possible to determine the maximum boundary for current flights.…”

Section: Attack Detection On Ads-b Datamentioning

confidence: 99%

An Adaptive-Data-Driven Attack Detection Framework on ADS-B Data

Li¹

2021

Preprint

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<p>With the variety and quantity of flights increasing, accurate and efficient surveillance methods are in great demands for the next generation air traffic management. Relying on high accuracy, wide coverage, low deployment cost and data share support, Automatic Dependent Surveillance – Broadcast (ADS-B) is becoming the primary surveillance method in 2020. However, ADS-B data is lacking of sufficient security measures to ensure data integrity and authentication, which makes it face with various attack threats. To detect the malicious data caused by attack behaviours accurately, an adaptive-data-driven attack detection framework is proposed, which is utilized to establish the consistent framework for predictive discriminant detection methods. It is composed of sequential predictor, behaviour discriminator and dynamic updater, enhancing adaptive sequential detection performances. According to the framework, an effective implementation is designed to improve attack detection accuracy: (I) The sequential predictor identifies flight phases to predict sequential data effectively and accomplish model fusion to generate ADS-B predictive data sequences. (II) The behaviour discriminator utilizes value differences and contextual information to distinguish attack data from ADS-B data sequences. (III) The dynamic updater is designed to update the training data sets and discriminate threshold dynamically, improving the adaptation in face of concept drifts for ADS-B data. By experiments on real ADS-B data with diverse attack patterns, the feasibility and efficiency of the framework are validated.</p>

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Section: Attack Detection On Ads-b Datamentioning

confidence: 99%

An Adaptive-Data-Driven Attack Detection Framework on ADS-B Data

Li¹

2021

Preprint

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“…Therefore, the statistical model can declare the location information of the node. Zhang [67] et al propose an online 4D-TP method, which consists of the preparation process, calculation process, and updating process. The updating process plays the most important role in the online 4D-TP method.…”

Section: ) Traffic Modelingmentioning

confidence: 99%

Security Issues in Automatic Dependent Surveillance - Broadcast (ADS-B): A Survey

Shang

Guo

2020

IEEE Access

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As a new generation of air transportation surveillance technology, the automatic dependent surveillance-broadcast (ADS-B) system mainly completes the extraction and processing of the position information and other additional information of the aviation aircraft to form a clear and intuitive background map and trajectory. However, ADS-B broadcasts information via open and unencrypted protocols, it is vulnerable to deliberate intrusions and attacks, which poses a great security risk. This paper studies the security issues of the ADS-B system in information leakage and tampering. Starting from the vulnerability of the ADS-B system, it is divided into vulnerability based on attack intention and vulnerability based on security requirements. Various solutions for solving vulnerabilities from two aspects, secure location authentication, and secure broadcast authentication are proposed, and the solutions are compared in terms of security and feasibility. The research results show that a single solution does not fully protect the security of the ADS-B system. For example, the PKI (Public Key Infrastructure) technology and the SS (Spread Spectrum) technology can resist most attacks, but there are still deficiencies. Therefore, this paper proposes to propose a multi-layered security framework in future research work, which includes detecting and preventing different attacks in the ADS-B system.

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“…This, in turn, has an impact on the prediction accuracy. As a matter of fact, the factors that affect the aircraft trajectory are very complex, including the computation model, aircraft intent, environmental conditions and performance parameters [6][7][8], etc. While most of relevant parameters are difficult to measure accurately, the usage of aircraft performance models is limited to some ideal conditions due to inaccuracy and instability in real data testing.…”

Section: Related Workmentioning

confidence: 99%

A Real-Time Trajectory Prediction Method of Small-Scale Quadrotors Based on GPS Data and Neural Network

Yang

Tang

Bao

et al. 2020

Sensors

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This paper proposes a real-time trajectory prediction method for quadrotors based on a bidirectional gated recurrent unit model. Historical trajectory data of ten types of quadrotors were obtained. The bidirectional gated recurrent units were constructed and utilized to learn the historic data. The prediction results were compared with the traditional gated recurrent unit method to test its prediction performance. The efficiency of the proposed algorithm was investigated by comparing the training loss and training time. The results over the testing datasets showed that the proposed model produced better prediction results than the baseline models for all scenarios of the testing datasets. It was also found that the proposed model can converge to a stable state faster than the traditional gated recurrent unit model. Moreover, various types of training samples were applied and compared. With the same randomly selected test datasets, the performance of the prediction model can be improved by selecting the historical trajectory samples of the quadrotors close to the weight or volume of the target quadrotor for training. In addition, the performance of stable trajectory samples is significantly better than that with unstable trajectory segments with a frequent change of speed and direction with large angles.

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Online four dimensional trajectory prediction method based on aircraft intent updating

Cited by 64 publications

References 13 publications

An Adaptive-Data-Driven Attack Detection Framework on ADS-B Data

An Adaptive-Data-Driven Attack Detection Framework on ADS-B Data

Security Issues in Automatic Dependent Surveillance - Broadcast (ADS-B): A Survey

A Real-Time Trajectory Prediction Method of Small-Scale Quadrotors Based on GPS Data and Neural Network

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