TIGR in Iraq and Afghanistan: Network-adaptive distribution of media rich tactical data

Ewy, Benjamin J.; Swink, Michael T.; Pennington, Steven G.; Evans, Joseph; Kim, Jin M.; Chun, Ling; Earp, Samuel L.; Maeda, Mari W.

doi:10.1109/milcom.2009.5379812

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…As presented, STOP cannot support applications which are not very sensitive to variations in delay and which can handle out of order packets. One example of an application which STOP can support is TIGR [11], where nodes capture and transfer media files. Fragments of the file can arrive out of order and reassembled at the destination.…”

Section: Applications Of Stopmentioning

confidence: 99%

Secure routing in MANETs using local times

Dabideen

Garcia-Luna-Aceves

2012

Wireless Netw

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We present a new approach to secure routing in mobile ad-hoc networks based solely on the relative transmission times of overhead packets. Unlike most previous works aimed at securing route computation, we eliminate a key vulnerability (explicitly stated routing metrics) altogether. We introduce the Secure Time-Ordered routing Protocol (STOP), which uses time-based orderings to ensure the establishment of multiple loop-free paths between a source and a destination. STOP is the first routing protocol to use performance-based path selection without source routing, path vectors, or complete topology information, making it far more efficient that similar approaches. We prove that adversaries cannot take any action to manipulate the time-based ordering so as to unfairly gain control of the forwarding topology and, by design, nodes which drop data packets will be avoided. Furthermore, at convergence, traffic load is evenly distributed over the well-performing paths, so adversaries cannot gain complete control over the data flow through temporary good behavior. Simulation results show that the countermeasures in STOP are effective against a variety of attacks from independent and colluding adversaries, and that this improved security does not come at the expense of routing performance.

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Section: Applications Of Stopmentioning

confidence: 99%

Secure routing in MANETs using local times

Dabideen

Garcia-Luna-Aceves

2012

Wireless Netw

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“…An example of an existing application that could greatly benefit from Hadoop MapReduce in tactical clouds is the TIGR [11] With Hadoop, the most relevant data from TIGR could be distributed across the tactical cloud using MDFS before Soldiers head out into the field. In addition, Soldiers can store new data they collect on their mobile devices.…”

Section: Introductionmentioning

confidence: 99%

Hadoop MapReduce for Tactical Clouds

George

Chen

Stoleru

et al. 2014

2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)

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We envision a future where real-time computation on the battlefield provides the tactical advantage to an Army over its adversary. The ability to collect and process large amounts of data to provide actionable information to soldiers will greatly enhance their situational awareness. Our vision is based on the observation that the U.S. Military is attempting to equip soldiers with smartphones. While individual phones may not be sufficiently powerful for processing large amount of data, using the mobile devices carried by a squad or platoon of Soldiers as a single distributed computing platform, a Tactical Cloud, would enable large-scale data processing to be conducted in battlefields. In order for this vision to be realized, two issues have to be addressed. The first is the complexity of writing applications for distributed computing environments, and the second is the vulnerability of data on mobile devices. In this paper, we propose combining two existing technologies to address these issues. The first is Hadoop MapReduce, a scalable platform that provides distributed storage and computational capabilities on clusters of commodity hardware, and the second is the Mobile Distributed File System (MDFS) which allows distributed data storage with built-in reliability and security. By making the MDFS file system work with Hadoop on mobile devices, we hope to enable big data applications on tactical clouds.

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“…Programs like DARPAs tactical ground reporting system (TIGR) 16 allow users to collect and share information. TIGR provides a useful pre-mission planning and patrol debrie¯ng tool.…”

Section: Introductionmentioning

confidence: 99%

Context Aware Information Delivery for Mobile Devices

Guo

Knott

Sheu

et al. 2012

Int. J. Patt. Recogn. Artif. Intell.

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Delivering the right amount of information to the right person is vital on the tactical battlefield. With the increasing use of mobile devices by the military, delivering relevant information instantaneously to the warfighter becomes possible. However, large quantities of data are being generated constantly while the human processing power and communication channels are limited. Therefore, data must be processed so it can be evaluated against operational needs. This data is collected in multiple modalities include images, videos and field reports with multi-sensor data. Providing automated processing of unstructured information promises to effectively connect information processing with operational decision making, dramatically reducing the time needed to identify relevant information for mission planning and execution. We describe a multi-view learning technique that augments the feature set used by a classifier in one modality with entity relationships discovered in other modalities. To accommodate the limited computation power of field devices, mostly handhelds, the multi-view learning algorithm is low complexity. It applies to multiple modalities, leveraging many-to-many correspondences among different modalities. Experiments on image and text are presented in the paper which show more than 20% improvement over categorizing text or images independently. The categorized information is matched to the mission and task needs. Finally, relevant information needs to be transmitted via limited bandwidth negotiated from limited resources.

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TIGR in Iraq and Afghanistan: Network-adaptive distribution of media rich tactical data

Cited by 8 publications

References 3 publications

Secure routing in MANETs using local times

Secure routing in MANETs using local times

Hadoop MapReduce for Tactical Clouds

Context Aware Information Delivery for Mobile Devices

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