Welcome to the MLAT Research Database. I am Sarah Lewis Cortes, PhD. 

 Note: MLAT (MLAT.is) is just one of my research datasets. For all datasets, please go to PrivacyReseach.is.
For professional services, please go to InmanTechnologyIT.com. Also see SarahCortes.is and wiki.SarahCortes.is.
Acceptable Use
You are welcome to use my research in any academic project. Thanks for providing attribution. Please contact me for access to my databases.
Attribution
If you use my research in your publication or on your web site, thank you for providing the citations:

Sarah Cortes,
MLAT World Treaty Cartel Internet Overlay for Darknet and Digital Traffic Analyticis, MLAT.is, Proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST17), April 2017.

Sarah Cortes,
Cyberterrorism. In The SAGE Encyclopedia of War: Social Science Perspectives, Ed. Paul Joseph (2016) DOI: http://dx.doi.org/10.4135/9781483359878.n174.

Aaron Jaggard, Aaron Johnson, Sarah Cortes, Paul Syverson and Joan Feigenbaum,
20,000 in League Under the Sea, Anonymous Communication, Trust, MLATs, and Undersea Cables,
Proceedings on Privacy Enhancing Technologies (PETS-15th International Symposium). Volume 1, Issue 1, Pages 4–24, ISSN (Online) 2299-0984, DOI: 10.1515/popets-2015-0002, April 2015

Sarah Cortes,
Legalizing Domestic Surveillance: The Role of Mutual Legal Assistance Treaties in Deanonymizing TorBrowser Technology, Richmond Journal of Law and Technology, Vol. 22 #2 (December 2015), pp. 1-99, http://jolt.richmond.edu/2015/12/05/v22i1article2.
Links and citations to PrivacyResearch.is and MLAT are of course welcome too.
License
For more detail, please see the full license agreement.

MLAT (MLAT.is) is a scalable service providing accurate predictions of treaty partner cooperating jurisdictions for internet routing and path selection algorithms. MLAT builds a structural model of all world jurisdictions. We construct an annotated map of world jurisdictions by treaty partners. We relate MLATs to the Internet and review their impact. We predict risk impact by composing measured performance of clusters of known MLA treaty partners. This method allows us to accurately and efficiently predict the effects of MLAs on path selection risk between arbitrary Internet hosts. We have studied the feasibility and utility of the MLAT service by applying it to several representative overlay services in use today: undersea cables, anonymous network communications, and ASes. In each case, we observe that using MLAT's predictions leads to a significant improvement in end user performance.

The various components we have built as part of our experimental research prototype of MLAT include:
  • Measuring impact on the Internet 
  • Route prediction
  • Path Selection
  • Clustering interfaces
  • Measuring cluster attributes
  • Opportunistic measurements
One of our primary objectives in building MLAT's prototype is to assess jurisdictional risk when constructing the Internet's top-level topology. Much of the software currently used in our research prototype of MLAT is still in an experimental phase, and we are constantly working on optimizing our data and measurements.

Datasets. If you would like to query MLAT as part of your application,  please contact me.
Query Interface: You will find information and a query interface on this site.
Publications: You will find information under "Publications."

According to the Department of State,
"Mutual Legal Assistance Treaties (MLATs) allow generally for the exchange of evidence and information in criminal and related matters. In money laundering cases, they can be extremely useful as a means of obtaining banking and other financial records from our treaty partners. MLATs, which are negotiated by the Department of State in cooperation with the Department of Justice to facilitate cooperation in criminal matters, are in force with [numerous] countries..."
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