ADS-B based real-time air traffic monitoring system

Varga, M.; Polgar, Zsolt Alfred; Hedeşiu, Horia

doi:10.1109/tsp.2015.7296255

Cited by 7 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [27] described a low-cost solution for ADS-B-based real-time air traffic monitoring systems implemented on a software-defined radio platform. This provided an integrated hardware and software solution for rapidly prototyping high-performance wireless communications systems.…”

Section: Related Workmentioning

confidence: 99%

Near-Real-Time IDS for the U.S. FAA’s NextGen ADS-B

Mink

McDonald

Bagui

et al. 2021

BDCC

View full text Add to dashboard Cite

Modern-day aircraft are flying computer networks, vulnerable to ground station flooding, ghost aircraft injection or flooding, aircraft disappearance, virtual trajectory modifications or false alarm attacks, and aircraft spoofing. This work lays out a data mining process, in the context of big data, to determine flight patterns, including patterns for possible attacks, in the U.S. National Air Space (NAS). Flights outside the flight patterns are possible attacks. For this study, OpenSky was used as the data source of Automatic Dependent Surveillance-Broadcast (ADS-B) messages, NiFi was used for data management, Elasticsearch was used as the log analyzer, Kibana was used to visualize the data for feature selection, and Support Vector Machine (SVM) was used for classification. This research provides a solution for attack mitigation by packaging a machine learning algorithm, SVM, into an intrusion detection system and calculating the feasibility of processing US ADS-B messages in near real time. Results of this work show that ADS-B network attacks can be detected using network attack signatures, and volume and velocity calculations show that ADS-B messages are processable at the scale of the U.S. Next Generation (NextGen) Air Traffic Systems using commodity hardware, facilitating real time attack detection. Precision and recall close to 80% were obtained using SVM.

show abstract

Section: Related Workmentioning

confidence: 99%

Near-Real-Time IDS for the U.S. FAA’s NextGen ADS-B

Mink

McDonald

Bagui

et al. 2021

BDCC

View full text Add to dashboard Cite

show abstract

“…An ADS-B message is 112 bits long and it has 5 parts: DF(5 bits)-CA (3 bits)-ICAO (24 bits)-DATA (56 bits)-PI(24 bits) Any ADS-B must start with the Downlink Format 17 (10001 in binary code) for the first 5 bits. Bits 6-8 are used as additional identifier, which has different meaning within the different types of an ADS-B message [1].…”

Section: Decoding Techniquementioning

confidence: 99%

Live Aircraft Detection with Mode-S Transponder Using RTL-SDR

N¹,

Shruthi²,

Sushmitha³

et al. 2017

IJARCSSE

View full text Add to dashboard Cite

Abstract-Air Traffic Control (ATC) is done by air traffic controllers at the ground station which guides the aircraft on the ground and controlled airspace. ATC is required to prevent collision and organize the air traffic flow. The technology used for ATC was radar, but now there is a new technology called ADS-B. ADS-B involves airplanes constantly sending, in real time, flight information and position. It plays a vital role in security and defense. ADS-B is "automatic" which means it requires no pilot or external input. It is "dependent" which means it depends on the data from the aircraft's navigation system. ADS-B basically is an extended version of the Mode-S system which has both primary and secondary surveillance radars. The flights that are equipped with ADS-B will broadcast their positions once in every second. The traffic controllers and other ADS-B aircrafts, receives this information which includes the flights identification, altitude, speed, and projected path of the flight. Encryption is not performed on this information sent via ADS-B therefore it is available for anybody can receive. Our project mainly deals with the reception of these signals and detecting the aircrafts location. Later Google maps are used to track the airplane live.

show abstract

“…In Varga and Hedesiu, 3 the authors also use a USRP to implement an ADS-B air traffic-monitoring system. However, this implementation is a combination of a specific hardware and software solution.…”

Section: Introductionmentioning

confidence: 99%

“…However, this implementation is a combination of a specific hardware and software solution. Unlike Varga and Hedesiu, 3 the implementation of the project presented in this document is not limited to a specific SDR solution.…”

Section: Introductionmentioning

confidence: 99%

Real-time decoding of automatic dependent surveillance – Broadcast signals by using software-defined radio and MATLAB®

Poveda

Ferré

Tajan

2019

International Journal of Electrical Engineering & Education

View full text Add to dashboard Cite

In telecommunications engineering degrees, simulations are used to understand better theoretical concepts. However, in courses related to digital communications or signal processing usually these simulations cannot be easily applied to real data or in real scenarios. This limitation does not allow the students to verify that the learned theoretical hypotheses are valid in practice. Nowadays, software defined radio platforms have been proposed to validate theoretical telecommunications concepts in real situations. Therefore, by combining a software defined radio and simulation tools, students can implement the learned notions over real data in real scenarios. This allows students to work under real applications in order to learn by experience and to see that the theoretical concepts are valid in the real world. This paper presents a project involving real-time decoding of automatic dependent surveillance–broadcast (ADS-B) signals, implemented by using a universal software radio peripheral software defined radio and MATLAB®. The universal software radio peripheral allows to receive real automatic dependent surveillance–broadcast signals sent by the aircraft. Then, by using MATLAB® tools, the automatic dependent surveillance–broadcast baseband signals are decoded. The students are guided through a manual to demodulate the real automatic dependent surveillance–broadcast signals and display in a map the aircraft trajectories. The evaluation is based on a competition between the students, considering execution time of their algorithms, and a final report of the project. This project allows to obtain a game-oriented and novel approach for teaching digital communications and signal processing. The implementation of this project in telecommunications engineering courses motivate the students, allowing them to understand better difficult theoretical concepts, and improve their computer, teamwork, and collaboration skills. The originality of the approach is based on the usage of a prototyping platform, combined with simulation tools, for practical application of telecommunications engineering concepts using real signals.

show abstract

ADS-B based real-time air traffic monitoring system

Cited by 7 publications

References 0 publications

Near-Real-Time IDS for the U.S. FAA’s NextGen ADS-B

Near-Real-Time IDS for the U.S. FAA’s NextGen ADS-B

Live Aircraft Detection with Mode-S Transponder Using RTL-SDR

Real-time decoding of automatic dependent surveillance – Broadcast signals by using software-defined radio and MATLAB®

Contact Info

Product

Resources

About