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ADS-B: Probabilistic Safety Assessment
- Journal of Navigation 70(4):1-20
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Air traffic security: aircraft classification using ads-b message’s phase-pattern.
1. Introduction
- Eavesdropping , i.e., listening to the unsecured broadcast transmissions: it is impossible to be prevented without applying encryption and, of course, it is impossible to be detected;
- Jamming , i.e., the intentional transmission of high power harmful signals in the RF channel in order to disable the air–ground communication: for a single receiver or in a particular geographical area, this type of attack may create denial-of-service problems at any airport;
- Message injection ( or spoofing ), i.e., the intentional transmission of signals with the same protocol but with misleading information;
- Message deletion by SSR reply Garbling: legitimate messages can be “deleted” or manipulated by the superposition of false message with higher power.
2. Estimation of the ADS-B Message’s Phase-Pattern
- central frequency f C could be 1090 ± 1 MHz;
- the pulse should have width τ = 0.5 ± 0.05 μ s, rise time 0.05 μ s ≤ τ r ≤ 0.1 μ s and decay time 0.05 μ s ≤ τ d ≤ 0.2 μ s;
- the Amplitude of the message could change within ± 1 dB;
- no restrictions exist concerning the carrier phase due to the fact that all the information is coded in the amplitude of the signal.
- the time position of each pulse: it can be easily determined estimating the time of arrival of the message, with a preamble detection algorithm and then decoding the envelope of the received signal. This operation is already done by any ADS-B receiver [ 4 ];
- the central frequency of the message f C + δ f (it may also include the Doppler frequency due to the airplane velocity): it can be done using any kind of frequency estimator such as finding the max value of the Discrete Fourier Transform of the received signal.
Phase pattern extraction. |
|
Sampled IF signal |
|
|
1. Envelope Computation (e.g., with Hilbert transformation); |
2. Preamble detection (as described in the ADS-B standards); |
3. Data Block decoding (as described in the ADS-B standards); |
4. Pulses time intervals estimation; |
5. central frequency estimation by finding the max of the DFT of the signal; |
6. For each of 112 pulses: Pulse’s carrier phase estimation by the use of ( ); |
7. Phase unwrapping. |
|
|
sequence |
3. Real Data Analysis
4. aircraft classification method.
- More than 50% of the observed aircraft have a particular and representative phase pattern.
- The phase pattern can be used to classify the aircraft using an NN obtaining performances up to 93% (in terms of probability of correct classification).
5. Intruder Detection Algorithm
- To create and populate a Database with the assigned class for any legitimate and genuine aircraft : to perform this action, for each aircraft not yet present in the Database, N c messages are received and classified using the proposed NN. If more than K c messages are classified in the same class, the aircraft is assigned to that class. Otherwise, the aircraft is declared not classifiable and excluded from the test phase;
- To define a test to verify if the received messages come from the expected transmitter or from a fake one : for each aircraft in the Database, N t messages are received and classified and, if more than K t messages are classified in the wrong class, an alarm is raised. The K / N logic is used to improve the probability of false alarm and the probability of detection of the classification method;
- To remove from the test phase the aircraft that do not have a constant phase pattern in the time : if an aircraft gives more than J consecutive alarms, the test phase for that aircraft is stopped. This last step is done to detect the aircraft that change their phase pattern after the Database population. These aircraft, in a real implementation, should be analyzed by an operator that can allow new classification attempts for the aircraft replacing the old one. It can be noted that the larger N c is, the lower is the probability to be in this situation.
Intruder Detection. |
|
ICAO Address and of the received ADS-B message |
. . . . . . message of that ICAO Address? . messages classified in the wrong class? . . . . . . . . . message of that ICAO Address? . messages assigned to the same class? . . . . |
|
|
Alarm |
- Legitimate aircraft, no attack : a real aircraft transmits legitimate replies. ADS-B receiver will receive only real messages. This situation will be used to evaluate the False Alarm Probability.
- Legitimate aircraft not present but receiver under attack : a transmitter emulates the presence of an aircraft transmitting fake replies with a given ICAO address. The ADS-B receiver will receive only fake messages. This situation will be used to evaluate the Probability of Detection.
- Legitimate aircraft present and under attack : a transmitter emulates an aircraft transmitting fake replies with a given ICAO address. In the meantime, the legitimate aircraft is transmitting messages too. If the attacker transmits replies according to ADS-B protocols, the ADS-B receiver will receive interleaving fake and legitimate messages. This situation will be used to evaluate the Probability of Detection.
6. Conclusions
Author contributions, conflicts of interest, abbreviations.
ADS-B | Automatic Dependent Surveillance—Broadcast |
ATC | Air Traffic Control |
AWGN | Additive White Gaussian Noise |
CRC | Cyclic Redundancy Check |
DB | Database |
DFT | Discrete Fourier Transform |
ES | Extended Squitter |
FPGA | Field Programmable Gate Array |
GPS | Global Positioning System |
HW | Hardware |
ICAO | International Civil Aviation Organization |
IF | Intermediate Frequency |
IFF | Identification Friend or Foe |
NN | Neural Network |
| Detection Probability |
| False Alarm Probability |
PPM | Pulse Position Modulation |
RF | Radio Frequency |
SDR | Software Defined Radio |
SSR | Secondary Surveillance Radar |
SW | Software |
TDR | Transponder Data Record |
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Click here to enlarge figure
|
Total number of replies | 232,888 |
Classified replies | 151,226 (64%) |
Total number of Aircraft | 291 |
Classifed Aircraft | 202 (69%) |
|
| | |
1—Linear | 40 | 19.8 |
2—Quadratic | 27 | 13.4 |
3—Oscillating | 14 | 6.9 |
4—Non Coherent | 109 | 53.9 |
5—Mixed: Quadratic + Linear | 8 | 4.0 |
6—Mixed: Linear + Linear | 1 | 0.5 |
7—Wave | 3 | 1.5 |
NN Type | 7 Classes NN | 5 Classes NN |
---|
Logic ( ) | (4/10) | (6/10) | (4/10) | (6/10) |
---|
Total number of Aircraft | 676 | 676 | 676 | 676 |
Classifed Aircraft | 291 (43.0%) | 302 (44.7%) | 304 (45.0%) | 318 (47.1%) |
Not Classified Aircraft | 261 (38.6%) | 261 (38.6%) | 248 (36.6%) | 248 (36.6%) |
Aircraft sent to the Operator | 124 (18.4%) | 113 (16.7%) | 124 (18.4%) | 110 (16.3%) |
| 3.6 % | 3.6 % | 3.8 % | 3.7 % |
(No Aircraft—SDR) | 100% | 100% | 73.8 % | 73.8 % |
(No Aircraft—Transponder) | 70.9% | 66.4% | 68.9 % | 63.8 % |
(Aircraft—SDR) | 100% | 19.3% | 75.6 % | 12.6 % |
(Aircraft—Transponder) | 64.4% | 12.7% | 61.5 % | 10.6 % |
Share and Cite
Leonardi, M.; Di Gregorio, L.; Di Fausto, D. Air Traffic Security: Aircraft Classification Using ADS-B Message’s Phase-Pattern. Aerospace 2017 , 4 , 51. https://doi.org/10.3390/aerospace4040051
Leonardi M, Di Gregorio L, Di Fausto D. Air Traffic Security: Aircraft Classification Using ADS-B Message’s Phase-Pattern. Aerospace . 2017; 4(4):51. https://doi.org/10.3390/aerospace4040051
Leonardi, Mauro, Luca Di Gregorio, and Davide Di Fausto. 2017. "Air Traffic Security: Aircraft Classification Using ADS-B Message’s Phase-Pattern" Aerospace 4, no. 4: 51. https://doi.org/10.3390/aerospace4040051
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Article contents
Ads-b: probabilistic safety assessment.
Published online by Cambridge University Press: 13 March 2017
In the effort to quantify Automatic Dependent Surveillance Broadcast (ADS-B) system safety, the authors have identified potential ADS-B failure modes in Syd Ali et al. (2014). Based on the findings, six potential hazards of ADS-B are identified in this paper. The authors then applied the Probabilistic Safety Assessment approach which includes Fault Tree Analysis (FTA) and Importance Analysis methods to quantify the system safety. FTA is applied to measure ADS-B system availability for each identified hazard while Importance Analysis is conducted to identify the most significant failure modes that may lead to the occurrence of the hazards. In addition, risk significance and safety significance of each failure mode are also identified. The result shows that the availability for the ADS-B system as a sole surveillance means is low at 0·898 in comparison to the availability of ADS-B system as supplemental or as primary means of surveillance at 0·95 and 0·999 respectively. The latter availability values are obtained from Minimum Aviation System Performance Standards (MASPS) for Automatic Dependent Surveillance-Broadcast (DO-242A).
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- Volume 70, Issue 4
- Busyairah Syd Ali (a1) , Washington Yotto Ochieng (a2) and Arnab Majumdar (a2)
- DOI: https://doi.org/10.1017/S0373463317000054
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Stroman, Skylar, "Automatic Dependent Surveillance Broadcast (ADS-B) Security Mitigation through Multilateration" (2021). UNF Graduate Theses and Dissertations. 1106. https://digitalcommons.unf.edu/etd/1106. This Master's Thesis is brought to you for free and open access by the Student Scholarship at UNF Digital Commons.
The second experiment accepted all ADS-B feature combinations and determined that airspeed, barometric pressure, and vertical speed had the most impact on aircraft engine type prediction. ... PhD thesis, Queen's University , (Canada) Basrawi K (2021) Aircraft classification from ads-b kinematic data. PhD thesis, Air Force Institute of Technology.
This thesis work analyzes the performance of Automatic Dependent Surveillance-Broadcast (ADS-B) data received from Grand Forks International Airport, detects anomalies in the data and quantifies the associated potential risk. This work also assesses severity associated anomalous data in Detect and Avoid (DAA) for Unmanned Aircraft System (UAS). The received data were raw and archived in GDL-90 ...
This thesis focuses on enhancing civil aviation safety using machine learning (ML) algorithms, particularly focusing on vulnerabilities in the ADS-B and its role in improving the National Air Space (NAS) surveillance and safety. Through scholarly article surveys, foundational issues in the ADS-B are identified.
divide the approaches in ADS-B security in two main classes: Secure Broadcast Authentication and Secure Location Verification. The latter class aims at verifying (or at least estimating) whether location claims made by ADS-B participants are genuine, and will be the focus of this thesis. A major part of the ADS-B business case is attributed to ...
(ADS-B), which is a new satellite-based surveillance technology. In order to achieve the adoption of ADS-B, equipage by aircraft operators is essential. However, it is sometimes difficult to achieve the transition from a current technology to a new ... This thesis develops the system dynamics model to represent how individual users adopt a new
services for secure ADS-B: confidentiality, identification, authentication, and integrity. We examine the trade-offs between different types of conventional encryption techniques to provide these services, and conclude that encryption can be successfully applied to Mode S ADS-B. A feasible approach for encrypted ADS-B is presented. Thesis ...
SECURING THE ADS-B PROTOCOL FOR ATTACK-RESILIENT MULTIPLE UAV COLLISION AVOIDANCE by Zachary P. Languell, B.S. A thesis submitted to the Graduate Council of Texas State University in partial fulfillment of the requirements for the degree of Master of Science with a Major in Computer Science May 2019 Committee Members: Qijun Gu, Chair Xiao Chen ...
Automatic dependent surveillance - broadcast (ADS-B) is a central component of the NextGen air traffic control program. This surveillance technology can replace current secondary surveillance radars (SSR) and improve cockpit situational awareness. The service can improve traffic surveillance capabilities by sharing accurate aircraft position information between pilots and air traffic ...
This thesis work analyzes the performance of Automatic Dependent Surveillance-Broadcast (ADS-B) data received from Grand Forks International Airport, detects anomalies in the data and quantifies the associated potential risk. This work also assesses severity associated anomalous data in Detect and Avoid (DAA) for Unmanned Aircraft System (UAS). The received data were raw and archived in GDL-90 ...
The work presented in this thesis shows the implementation of a multi-channel receiver for Automatic Dependent Surveillance Broadcast (ADS-B), a service for aircraft identification on a novel ...
The developed computing programme is integrated into the ADS-B receiver to get a more accurate positioning and trajectory of the aircrafts.Due to the lack of ground tools to measure the usefulness of the results, the filtered trajectory will be plotted against the initial trajectory. Visual observation and comparison is made to valide the results.
Similar to this thesis, Eskilsson, Gustafsson, Khan, and Gurtov [8] shows the ease of which attacks on ADS-B and CPDLC can be performed. They used the same technique for their ADS-B data transmissions and receival as will be discussed further in this thesis. As will also be discussed further is the approach that was taken by Lindahl and Blåberg
This thesis work analyzes the performance of Automatic Dependent Surveillance-Broadcast (ADS-B) data received from Grand Forks International Airport, detects anomalies in the data and quantifies ...
BACHELOR'S THESIS TITLE: Receiving and processing ADS-B signals for aircraft tracking DEGREE: Bachelor's degree in Airport Engineering AUTHOR: Xin Wang DIRECTOR: Montoro López, Gabriel DATE: 8th, July of 2019 . ABSTRACT Automatic Dependent Surveillance-Broadcast (ADS_B) system is one of the most
Communication systems in aviation tend to focus on safety rather than security. Protocols such as Automatic Dependent Surveillance-Broadcast (ADS-B) use plain-text, unauthenticated messages and, therefore, open to various attacks. The open and shared nature of the ADS-B protocol makes its messages extremely vulnerable to various security threats, such as jamming, flooding, false information ...
Automatic Dependent Surveillance Broadcast (ADS-B) is one of the most prominent protocols in Air Traffic Control (ATC). Its key advantages derive from using GPS as a location provider, resulting in better location accuracy while offering substantially lower deployment and operational costs when compared to traditional radar technologies. ADS-B not only can enhance radar coverage but also is a ...
ADS-B is a surveillance system which relies on onboard aircraft navigation systems to obtain the aircraft position. ... U., 2007. Improved Integrity Algorithms for Integrated GPS/INS Systems in the Presence of Slowly Growing Errors. A Thesis Submitted for the Degree of Doctor of Philosophy of the University of London and Diploma of the ...
The result shows that the availability for the ADS-B system as a sole surveillance means is low at 0·898 in comparison to the availability of ADS-B system as supplemental or as primary means of ...
6.2. Simulated ADS-B attacks. In order to simulate the attack, we injected a single-window with anomalous behavior during the flight. The anomalous behavior is injected after 10 minutes of flight recording for 10 consecutive minutes (window of 600 ADS-B messages) in all of the test flights.
Automatic Dependent Surveillance-Broadcast (ADS-B) is a surveillance system used in Air Traffic Control. With this system, the aircraft transmits their own information (identity, position, velocity, etc.) to any equipped listener for surveillance scope. The ADS-B is based on a very simple protocol and does not provide any kind of authentication and encryption, making it vulnerable to many ...
UND Scholarly Commons | University of North Dakota Research
In addition, risk significance and safety significance of each failure mode are also identified. The result shows that the availability for the ADS-B system as a sole surveillance means is low at 0·898 in comparison to the availability of ADS-B system as supplemental or as primary means of surveillance at 0·95 and 0·999 respectively.
HOPE SCHOLARSHIP: HURTING OR HELPING? A Research Assignment Presented to: Dr. Edward Bouie In Partial Fulfillment of The Requirements for the Degree of Master of Education in Higher Education Leadership Mercer University By Veronica Gilliard April 28, 2015 When former Georgia Governor Zell Miller sought to establish a state lottery in 1991, shortly after his inauguration, many state residents ...
Most bullish analyst on T-Mobile shares thesis. Sam McHugh, head of telecom equity research at BNP Paribas, joins BNN Bloomberg to discuss T-Mobile and top ideas in U.S. telcos. July 31, 2024 at 1:20PM EDT