Military Communications and Information Technology: A Trusted ...
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Military Communications and Information Technology: A Trusted ...

Military Communications and Information Technology: A Trusted ... Military Communications and Information Technology: A Trusted ...

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342 Military Communications and Information Technology... Figure 4. Lesson learnt related data correlations visualization – dependency tree graph plug-in in detached window mode VII. Future development SIMS LL tool is being constantly improved thanks to the extensive testing and evaluation. Due to the modular design, it is easy to add new functionalities in the future, or to adjust the tool to the needs of a particular army or even civil organisation. Currently, ITTI is working on extending LL tool capabilities to georeferenced data visualisation and analysis, using GIS components. Such functionality, will provide additional lesson learnt spatial analysis capabilities (e.g. analysis of events, incidents, observations etc. related to the places in a given radius around a certain point on the map). Moreover, improvements in the dependency tree graph visualization plugin will be made. Creating dependency graphs interactively (e.g. using drag and drop features), together with automatic nodes ordering into pattern groups might bring significant benefits to the process of lesson learnt related data analysis. In order to provide fast lesson learnt related data dissemination among soldiers in the battlefield, there is a need to adjust SIMS LL tool to the capabilities of modern mobile devices (PDA, tablet, smartphone etc.). Therefore, to make an effort to meet military expectations, SIMS LL tool lite version for Android compatible multi-touch devices is begin prepared. One of the very important aspects of the further development of Lessons Learnt methodology and tool is to focus on other specific application areas. Cyber Crime is one of many subjects not to be left out nowadays. An example of approach related to gathering factual material (and thus part of an lessons learnt ideology) in the area of cyber threats is the work on a software tool (Cyber Tool) that has been developed as part of EDA ATHENA project in the workpackage devoted to modelling physical threats. In this work authors have identified a need of defining a unifying methodology for gathering factual material on cyber threats. Following such approach will help gather and in turn analyse incidents in cyber layer in order to identify possible risks related to security of daily missions.

Chapter 3: Information Technology for Interoperability and Decision... 343 References [1] CALL (Centre for Army Lessons Learnt), March 2009. Commander’s guide to operational records and Data Collection. Handbook 09-22. Chapter 4. Collection priorities. Available at: http://www.globalsecurity.org/military/library/report/call/ call_09-22-ch04.htm [2] NATO. NATO Lessons Learnt Handbook. First edition, October 2010. Joint Analysis and Lessons Learnt Centre Lisbon, Portugal. Available at: http://www.jallc.nato.int/ Documents/

Chapter 3: <strong>Information</strong> <strong>Technology</strong> for Interoperability <strong>and</strong> Decision...<br />

343<br />

References<br />

[1] CALL (Centre for Army Lessons Learnt), March 2009. Comm<strong>and</strong>er’s guide to<br />

operational records <strong>and</strong> Data Collection. H<strong>and</strong>book 09-22. Chapter 4. Collection<br />

priorities. Available at: http://www.globalsecurity.org/military/library/report/call/<br />

call_09-22-ch04.htm<br />

[2] NATO. NATO Lessons Learnt H<strong>and</strong>book. First edition, October 2010. Joint Analysis<br />

<strong>and</strong> Lessons Learnt Centre Lisbon, Portugal. Available at: http://www.jallc.nato.int/<br />

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