One of the main problems in counterterrorism today is that there are so many people and vehicles, and so much data and material, moving through globalization's myriad networks that it seems virtually impossible to track it all effectively. Nowhere has this problem been more acute than on the high seas.

In 2006, Adm. Harry Ulrich, then U.S. commander of NATO Naval Forces Europe, decided to do something about it. Despite having virtually no resources, his dream was to transpose the global air-traffic control system onto sea traffic.

Worldwide, aircraft are transparent, because they're all required to carry an identification beacon that allows them to be tracked leaving and entering airports, and monitored between airports, by a global network of sensors. Act suspiciously and somebody's fighter aircraft will soon be on your tail.

No such pervasive system currently exists globally for maritime traffic. While bigger ships carry an ID beacon similar to aircraft, without a shared monitoring network, that's like tracking only selected commercial jets and giving everyone else a pass.
So Ulrich, upon taking command, asked a simple question: "If we can do that in the air, why can't we do it on the sea?" He made a point of pioneering his sea-traffic-control effort first inside the Mediterranean, where NATO's southern naval forces have historically been concentrated, but his real target was waters off Africa -- the most ungoverned maritime space in the world.

Ulrich knew the U. S. Navy couldn't do it alone, much less bring Africa's meager coast-guard-like navies up to snuff so they could do it on their own. So he quickly created a network of assets -- both public and private -- to manage that space, modeling his monitoring system on international air-traffic control.

Ulrich began stitching together a network of shore-based sensors ringing the Mediterranean. His naval command then began initial monitoring by tapping into the International Maritime Organization's existing Automated Identification System, transforming NATO's ability to track ship traffic in the Med.

Almost overnight, NATO went from tracking dozens of ships on the Mediterranean to thousands, and instead of getting the data sometimes up to 72 hours late, now the contacts were being tracked in one to five minutes -- to an accuracy within 50 feet on the earth's surface.

When the classic big-firm systems integrators told Ulrich it would be too costly to pull it off, the admiral turned to the Volpe Center in Cambridge, Massachusetts, a U.S. Department of Transportation research center. Instead of hundreds of millions of dollars, Ulrich's initial network cost $900,000. The shore-based receivers are small, roughly the size of a radar dish you might find on a pleasure craft.

The strength of the system is a function of its reach: the more countries join, the larger the shared operational picture. By the time Ulrich retired at the end of 2007, he had enlisted 32 countries throughout the Mediterranean, the North Atlantic, along the west coast of Africa, around the Black Sea, and in the Pacific. Today, the network continues to spread around the planet.

With Ulrich's system in place, local police, coast guards, and border patrols catch most bad guys, obviating American military responses. As Harry told me for an article I wrote about his work in a fall 2007 issue of Esquire, "I don't do defense; I do security. When you talk defense, you talk containment and mutually assured destruction. When you talk security, you talk collaboration and networking. This is the future."

The admiral's legacy program, the Maritime Safety and Security Information System, earned the Volpe Center a prestigious "Innovations in American Government" award this month from Harvard University's Ash Institute for Democratic Governance and Innovation.

Yesterday, they posted a terrific blog post about what they saw at Interop. Fortunately, ScienceLogic was one of the technologies that they highlighted from the show. I have written earlier posts about how difficult it has been to gain smart, insightful coverage for our solutions with technology media.

I have to say that they really got it! And it feels so good. We know that we have a bit of a hidden gem of a product here at ScienceLogic and will be working overtime in the coming months to take our business and products to a “Blue Ocean” environment that will shock and surprise many others in the media. However Sevick and Wetzel will be amongst the first to get a close-up on why and how we will deliver a new paradigm to this marketplace in 2009!

A few excerpts from their post:

“We noticed yet more specialty network management vendors, leading us to wonder how the market can support such a plethora of them, and we felt empathy for IT teams that have to master yet more interfaces.”

“Application performance management and application acceleration vendors were well represented. Such products play well in today’s climate because they allow enterprises to get the most out of existing IT investments instead of buying more “stuff”. One particularly interesting vendor we talked to was ScienceLogic. They are integrating IT infrastructure and application monitoring into a single, not-very-expensive platform that will serve mainstream business well. This is smart, and we predict they will give the CA’s, BMC’s, HP’s and IBM’s of the world a run for their money.”

Check out the blog post here and keep App Performance View on your radar..

Eye-Fi divided its Wi-Fi SD card line-up into three parts earlier in the year: Home, which transfers to a computer ($80); Share, which uploads to a computer and to Eye-Fi's servers, which relay them to gallery, print, and social services ($100); and Explore, which ties in Wi-Fi positioning and one year of a Wayport hotspot subscription for uploads ($130). I wrote a long review of the Eye-Fi Explore on 12-Aug-2008.

If you bought a Home, you can upgrade to the Share service for $10 per year, and if you bought either a Home or Share, you can add geotagging for $15 per year and hotspot access for $15 per year. It's a smart move, since original Eye-Fi card buyers already had a firmware upgrade that converted their card into a Share model; they'll now be able upgrade to the full featureset. This is something I thought the company was offering at launch months ago, and I speculated it would be easy to add.

Eye-Fi also added two new photo sharing services: Apple's MobileMe and AdoramaPix. I cannot think of any other firm that Apple has partnered with to allow direct MobileMe uploads, although this may be technically less a big deal than it sounds. But I believe it's unique--only the iPhone and iPhoto software can transfers images into MobileMe's galleries; I'll need to investigate further. It's a good feather in Eye-Fi's cap.

Finally, Eye-Fi says they'll release tweaked firmware on 5-Oct as well that will double the speed of photo transfers from their cards to a computer on the local network.

FP: And what about drilling? Republican presidential candidate Sen. John McCain, his running mate Gov. Sarah Palin, and President George W. Bush are implying that lifting environmental restrictions on drilling is the way to promote energy independence.

TF: Well, I think it’s patent nonsense. No one believes that somehow offshore, there’s enough oil in any near term and even the long term to provide us oil independence. It’s the wrong approach because in a world that’s hot, flat, and crowded, fossil fuels—and particularly crude oil—are going to be expensive and exhausting. Therefore the focus should be on the next great global industry: clean energy technology. When I hear McCain pounding the table for “drill, drill, drill,” it reminds me of someone pounding the table for IBM Selectric typewriters on the eve of the IT revolution.

I’m not against offshore drilling, by the way, because I believe the technology and the safety has improved far beyond where it was back in the 70s, 80s, and 90s, even. What I’m against is making it the centerpiece of our energy policy. If all McCain said was, “Let’s drill, but let’s also throw everything into innovating the next generation of clean-energy technologies,” I’d say, “You’ve got it exactly right, pal.”

Marc’s initial shoplifting model in his post is based on John Colapinto’s concepts of matching a pattern of customer movements in the store with their estimated patterns of shoplifting behavioral patterns.    Marc’s asks how Coral8 might address this.   We are not ready to seek a vendor solution.  We do not yet have a workable detection model.

As indicated above, I don’t think the example situation cited by John and Marc is a viable model for automated processing.    Tracking the behavior of customer’s movements, by machine, would require some very sophisticated image processing technology that would be too expensive compared to any possible loss at most retails stores.    This type of behavioral pattern recognition. in retail stores, is performed by people (security personnel), not machines, observing people.  

To develop a machine pattern recognition application to detect retail shoplifting we need to build detection models that are economically feasible.  If we are going to use a model of shoplifting pattern recognition versus anomaly detection, we need to define the objects we must track.  

In the most simple model, we have merchandise-objects.   Stores normally (physically) track merchandise-objects only at the exit/entry points of the store using some electromagnetic proximity detection technology.   In this model, the detection configuration is a combination of simple alerting with humans watching the store (”minding the store”).    This is not complex event processing.

However, if we added another object to our model, the customer-object, then we start to get more “complex,” but we have not defined “complexity” yet because we have not defined the object properties, the possible states of the objects, and the relationships between the objects that are the basis for estimated situations.

Hence, model building is constrained by available resources, simple economics and risk (cost-benefit).  If we are detecting shoplifting in Walmart the cost-benefit model for implementing an automated shoplifting detection system would be different than at a top diamond store on 5th Avenue in NYC.   Protecting loss at a weapons-grade uranium respository follows a different model than protecting loss at a handicraft shop, naturally.

Like Marc, I find models to automatically detect shoplifting interesting, so permit me to close with a general discussion of shoplifting in the context of our CEP/EP reference model.

One approach would be do determine what objects will be represented in our model.   For example, if we are going to track merchandise, we need to model the ”merchandise-object”.  If we are going to track people, we need to define the properties of this “person object.”  If we are going to represent the store layout, we need to define all these objects (store-object, table-object, shelf-object, entry-object and so forth).  The model can get “complex” quite quickly. 

Editorial Note:  An object-oriented approach greatly assists complex model building because we can benefit from OO properties such as encapsulation and polymorphism.  For example, we can define a basic “person object class” and then create superclasses of this object for “customer-object”, “manager-object”, “or criminal-object.”

Generally speaking, each object we define will require a state-model, for example, in Marc’s example of a customer moving around the store, we would need to model the possible states (customer at the entrance, at table 1, at table 2, at shelf 1, in the bathroom, at the cashier, etc.)  Indeed Marc, this is complex event processing if we have modelled multiple objects and defined object-object relationships that indicate situations of interest.   For example, customer-object at table2 where merchandise-object has the property of  ”very expensive, high risk” and then customer-object changes state to “in bathroom”.  Of course, we need more key indicators, but you get the idea.

Right now, I am typing from the Taste from Heaven Vegetarian Restaurant in Chiang Mai and my battery is running low.  The owner of this excellent restaurant also runs the Elephant Nature Park, a non-profit organization advocating and acting on behalf of the rights of the mighty elephants in Thailand.  Would be great if we could also automatically detect the situation of “elephant abuse” by poachers and other crimes against nature.   Time to get back to my delicious mushroom salad, Northeastern Thai style.

As always, thanks for reading, time for me to get back to eating!