This paper presents a model for early warning system to detect terrorist threats. The model is based on data collection from open source intelligence methodology. We present a concept of generation early warning to predict terrorist threats. Our ideas rely on investigative data mining, and study of complex covert networks to extract useful information for terrorist threat indication. Presented model can be used as a core framework for early warning system. 1
ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference ...
Part 2: Intrusion DetectionInternational audienceCybercriminals ramp up their efforts with sophistic...
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in d...
Information overflow is a significant and as yet unresolved problem for military, homeland security ...
Abstract:- Terrorism is a clear danger to the world. Terrorists launch attacks against population ce...
In this study, we investigate the use of prediction modeling to build an early warning system to ide...
In this paper, which is the continuation of an MCC 2006 Conf. publication by the same group of autho...
While many organizations share threat intelligence, there is still a lack of actionable data for org...
XLab is an early warning system that addresses a broad range of national security threats using a fl...
Terrorist group prediction using historical data of terrorist incidents has been less explored due t...
Many threats in the real world can be related to activities of persons on the internet. Internet sur...
This paper aims to demonstrate the use of Open Source Intelligence (OSINT) techniques to gather publ...
This thesis is about the weak signals of the future cyber threats that armed forces may face. The re...
Law enforcement agencies across the globe have begun to focus on innovative knowledge discovery tech...
Abstract. We present the architecture of an automatic early warning system (EWS) that aims at provid...
ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference ...
Part 2: Intrusion DetectionInternational audienceCybercriminals ramp up their efforts with sophistic...
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in d...
Information overflow is a significant and as yet unresolved problem for military, homeland security ...
Abstract:- Terrorism is a clear danger to the world. Terrorists launch attacks against population ce...
In this study, we investigate the use of prediction modeling to build an early warning system to ide...
In this paper, which is the continuation of an MCC 2006 Conf. publication by the same group of autho...
While many organizations share threat intelligence, there is still a lack of actionable data for org...
XLab is an early warning system that addresses a broad range of national security threats using a fl...
Terrorist group prediction using historical data of terrorist incidents has been less explored due t...
Many threats in the real world can be related to activities of persons on the internet. Internet sur...
This paper aims to demonstrate the use of Open Source Intelligence (OSINT) techniques to gather publ...
This thesis is about the weak signals of the future cyber threats that armed forces may face. The re...
Law enforcement agencies across the globe have begun to focus on innovative knowledge discovery tech...
Abstract. We present the architecture of an automatic early warning system (EWS) that aims at provid...
ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference ...
Part 2: Intrusion DetectionInternational audienceCybercriminals ramp up their efforts with sophistic...
Terrorism is a major problem worldwide, causing thousands of fatalities and billions of dollars in d...