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The aim of this paper is to describe a new vision for ATM Security Management that is proposed by the GAMMA project, and implemented by its "core" prototype called Security Management Platform. GAMMA is an FP7 project with the goal of developing solutions capable to manage emerging ATM vulnerabilities. The GAMMA vision recognises the opportunities opened by a collaborative framework for...
With SESAR and NextGen readying towards implementing novel operational concepts and technical enablers in ATM/CNS, the question of how to manage security in a dynamic environment across a highly distributed and networked system gains higher attention. The Global ATM Security Management project (GAMMA) addresses the development of such a security situation management capability. Following the September...
In this article a Bayesian filter approximation is proposed for simultaneous multiple target detection and tracking and then applied for object detection on video from moving camera. The inference uses the evidence lower bound optimisation for Gaussian mixtures. The proposed filter is capable of real time data processing and may be used as a basis for data fusion. The method we propose was tested...
In this work we describe a system and propose a novel algorithm for moving object detection and tracking based on video feed. Apart of many well-known algorithms, it performs detection in unsupervised style, using velocity criteria for the objects detection. The algorithm utilises data from a single camera and Inertial Measurement Unit (IMU) sensors and performs fusion of video and sensory data captured...
● NextGen and SESAR offer an unique (“technological”) opportunity ● The approach to security and a security capability is not addressed due to political and operational priorities ● GAMMA addresses this void offering “dual use” / complementary solutions to SESAR ● GAMMA developed a Security Situation Management Concept of Operations that allows for • a modular / iterative implementation and build...
This paper addresses a collaborative security situation management capability for air navigation. In particular, we formulate the development of a threat prediction capability as a situation management problem mapping the concepts of situation awareness and information fusion. Air transportation and air navigation is undergoing a fundamental transformation. This also requires novel approaches to system...
This paper addresses the potential of mathematical modelling in support of the classical security risk assessment and treatment approach. Classical security risk assessment and control selection is strongly based on expert judgment. Within the context of large scale system implementation in air traffic management, there is only a limited availability of resources during the system engineering phase...
A new algorithm for symbol recognition is proposed in this paper. It is based on the AutoClass classifier [1], [2], which itself is a version of the evolving fuzzy rule-based classifier eClass [3] in which AnYa[1] type of fuzzy rules and data density are used. In this classifier, symbol recognition task is divided into two stages: feature extraction, and recognition based on feature vector. This approach...
The Global ATM Security Management (GAMMA) project is designed to develop solutions to emerging security vulnerabilities of air navigation and provide validated proposals for the implementation of these solutions. Throughout the recent years, the security of the air navigation system has become a major concern. The high level of interconnectivity and stronger reliance on interlinked systems requires...
In our work we used the capability of one-class support vector machine (SVM) method to develop a novel one-class classification approach. Algorithm is designed and tested within the project SVETLANA aimed for fault detection in complex technological systems, such as aircraft. The main objective of this project was to create an algorithm responsible for collecting and analyzing the data since the launch...
This paper addresses the potential of mathematical modeling in support of the current security risk management approach in SESAR. One of the key challenges in large-scale system engineering for security is to provide support for system-wide implementation of security controls with limited resources. For this purpose resource-intensive security risk assessment shall only be applied to top priority...
In this paper a novel approach to autonomous real time flight data analysis (FDA) is proposed and investigated. The anomaly detection is based on recursive density estimation (RDE) and the fault identification is based on the evolving self-learning classifiers introduced recently. The paper starts with a brief critical analysis of the currently used FDA methods and tools. Then the problems of fault...
Modern technical systems become more sophisticated and consist of many components. It is getting harder and harder to keep the system in operational status. One of the most important tasks is to evaluate the current state of the system. The most commonly used method is the monitoring of all system parameters. This is a challenging task as each system component provides numerous parameters and all...
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