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This paper will specifically undertake the task of improving the passive sonar system using self-organizing map. Localizing multiple targets is a challenging problem as passive sonar sensors are only able to detect the targets' bearing angle. An effective way to find the targets location is by triangulation. However, in multi-sensor multi-target environment, ghost targets are introduced during the...
Information fusion is a key factor for insuring information superiority in various military and civil surveillance systems. Military applications may be found in air defence, force and convoy protection, and combat management systems for naval ships. Coastal and urban surveillance, air traffic control, and Harbour protection address more civil areas. A new aspect in all these applications is the issue...
This paper presents a new probabilistic approach to determine survivability of reconfigurable systems as a system-level performance metric in an operational environment. In contrast to known methods of estimating survivability in terms of susceptibility and vulnerability, the proposed method (1) includes directional threats on various subsystems into the analysis and (2) provides a framework for operational...
This paper proposes a discussion on the formal links between the situation calculus and the semantics of interpreted systems as far as they relate to higher-level information fusion tasks. Among these tasks situation analysis require to be able to reason about the decision processes of coalitions. Indeed in higher levels of information fusion, one not only need to know that a certain proposition is...
The purpose of information fusion is to support and improve decision making. However, theories of decision making differ significantly on their view of what a good decision actually is. Hence, depending on which decision making theory one (un)consciously adopts there are different requirements for information fusion as decision support Information fusion researchers and practitioners should therefore...
This paper compares different defense strategies against various attacks utilizing a dynamic game theoretic data fusion framework for Cyber network defense. In our game theoretic framework, alerts generated by intrusion detection sensors (IDSs) or intrusion prevention sensors (IPSs) are fed into the data refinement (Level 0) and object assessment (LI) data fusion components. High-level situation/threat...
This paper details and deepens a previous work where the Interpreted Systems semantics was proposed as a general framework for situation analysis (SA). This framework is particularly efficient for representing and reasoning about knowledge and uncertainty when performing situation analysis tasks. Our approach of SA is to base our analysis on the production of state transition systems consisting in...
In this paper, we address the problem of representing domain knowledge for situation awareness in a security application. While ontologies are appropriate for describing taxonomical knowledge, they cannot express more complex knowledge such as entailments. In this paper, we describe how domain knowledge can be encoded through OWL ontologies and SWRL rules in order to reason about the entities and...
When designing a higher-level fusion system the designer must choose between options, and in doing so confronts a number of tradeoffs. This paper outlines some of those options and the tradeoffs that those options involve.
Contemporary situational awareness problems such as automated normalcy learning for anomaly detection and motion behavior prediction are addressed with biologically-inspired processing, representation, and learning approaches. Issues and challenges are discussed and our responses to them described. Relatively simple neural principles provide considerable power in providing capabilities required to...
Information fusion engine for real-time decision- making (INFERD) is a perceptual information fusion engine designed and developed for the purpose of cyber attack tracking and network situational awareness. While the original application was cyber orientated, the engine itself is designed to generalize and has been ported to other application environments such as maritime domain awareness and medical...
An improved neurobiologically inspired algorithm for situation awareness in the maritime domain is presented, which takes real-time tracking information and learns motion pattern models on-the- fly, enabling the models to adapt well to evolving situations while maintaining high levels of performance. The constantly refined models, resulting from concurrent incremental learning, are used to evaluate...
Since its conception the JDL model has provided the fusion community with a way to describe and understand various activities in the data fusion community. As the community continues to make great strides and advancements, primarily in the Level 2/3 arena, a greater understanding is coming about. As a result it is time to revisit the model and to incorporate these lessons learned. In this paper we...
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