In this paper, which is the continuation of an MCC 2006 Conf. publication by the same group of authors, we propose a concept of early detection of terrorist action preparation activities. Our ideas rely on semantic and complex networks to extract useful information for terrorist threat indication. Presented methods will be used as a core framework for Early Warning System
Graph knowledge models and ontologies are very powerful modeling and reasoning tools. We propose an ...
In this paper we describe ongoing work to construct a knowledge base of politically motivated violen...
Abstract — Intrusion Detection Systems are tools used to detect attacks against networks. Many of th...
This paper presents a model for early warning system to detect terrorist threats. The model is based...
Developments in statistics and computer science have influenced research on many social problems. Th...
The Web and social media nowadays play an increasingly significant role in spreading terrorism-relat...
Terrorist attacks are threats to undermine state security and citizens’ confidence. In the last year...
A sharp rise in terrorist activities has motivated many researchers to device techniques of identifi...
There is a growing trend of disturbed individuals expressing their unhappiness with elements of gove...
Law enforcement agencies across the globe have begun to focus on innovative knowledge discovery tech...
W artykule zaprezentowane zostały główne koncepcje sieci semantycznych i ich wykorzystanie w procesi...
Dynamic network analysis (DNA) is an emergent field centered on the collection, analysis, understand...
A new method, based on a recently defined centrality measure, allows to spot the critical components...
Cyber security systems generally have the phenomena of passive defense and low-efficiency early warn...
ePOOLICE aims at developing an efficient and effective strategic early warning system that utilises ...
Graph knowledge models and ontologies are very powerful modeling and reasoning tools. We propose an ...
In this paper we describe ongoing work to construct a knowledge base of politically motivated violen...
Abstract — Intrusion Detection Systems are tools used to detect attacks against networks. Many of th...
This paper presents a model for early warning system to detect terrorist threats. The model is based...
Developments in statistics and computer science have influenced research on many social problems. Th...
The Web and social media nowadays play an increasingly significant role in spreading terrorism-relat...
Terrorist attacks are threats to undermine state security and citizens’ confidence. In the last year...
A sharp rise in terrorist activities has motivated many researchers to device techniques of identifi...
There is a growing trend of disturbed individuals expressing their unhappiness with elements of gove...
Law enforcement agencies across the globe have begun to focus on innovative knowledge discovery tech...
W artykule zaprezentowane zostały główne koncepcje sieci semantycznych i ich wykorzystanie w procesi...
Dynamic network analysis (DNA) is an emergent field centered on the collection, analysis, understand...
A new method, based on a recently defined centrality measure, allows to spot the critical components...
Cyber security systems generally have the phenomena of passive defense and low-efficiency early warn...
ePOOLICE aims at developing an efficient and effective strategic early warning system that utilises ...
Graph knowledge models and ontologies are very powerful modeling and reasoning tools. We propose an ...
In this paper we describe ongoing work to construct a knowledge base of politically motivated violen...
Abstract — Intrusion Detection Systems are tools used to detect attacks against networks. Many of th...