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"So the reality is that online today we're measured in lots of different ways and we're able to attribute how successful a particular area of the service is in terms of contributing to gross revenue and the ROI It may cost us a ton to generate that revenue, or it may not cost us much at all And is that visitor also generating revenue in this area and that area, or is it just this one event, once a month "Being able to effectively report on those types of statistics is incredibly complex, and what you don't want is to end up making a decision to eliminate a certain number of features or even a whole channel altogether without knowing what the network effect might be.

" I asked, "So while you're looking at a content area as a revenue generator, you're also looking at is a traffic generator, which can then bolster other revenue areas " "Yes Is it already feeding other areas so that if you removed that piece of content that particular audience is using would we also lose them from these three other areas " "You're beginning to sound like an environmentalist," I commented "You're dealing with eco-culture here" "That's absolutely the case And you've got to figure out the value that each of those eyeballs represents in any given month and know what the explicit trade-offs are This is one of the most difficult things for a really senior executive team to try to absorb because on one level they might look at the fixed, controllable costs.

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But it's the other types of trade-offs that you need to be able to model because, at the end of the day, that aggregate ROI might seem much better than a product that on the surface only takes two people to manage" I asked Kris for an example of that kind of cross-traffic "A great example of that would probably be the personals category Personals are interesting to advertisers with very specific types of offers Things like real estate rentals-there are all kinds of offers that you can effectively overlay with that-but not as many as you might find for investing or health, the more traditional foundation categories But the personals audience spends a lot of time on other parts of the service.

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tear when there is actually damage. However, by using common sense, working on the tenant s perspective, and having good documentation, fewer problems arise, and those that do can be handled as needed.

You have a high concentration of eyeballs that come in to be amused or look for a date and so forth, but they also move through a high percentage of our applications and services So that's an example of where you might say the revenue associated with that application isn't necessarily huge relative to other applications and services, but the reality is that audience represents a significant dollar amount per month" One content question comes up frequently at my conferences and lectures, "Do I need to change my content every day ".

Writing a full-featured exploit using such a limited instruction set is extremely difficult, to say the least. So what can be done to make the task easier Well, you could use the limited set of available instructions to create the real exploit code on the fly, as is done using the Venetian technique described in Chris Anley s paper. This method essentially entails an exploit that uses an exploit writer and a buffer with half the real exploit already in it. This buffer is the destination that the real exploit code will eventually reach. The exploit writer, written using only the limited instruction set, replaces each null byte in the destination buffer with what it should be in order to create the full-featured real exploit code. Let s look at an example. Before the exploit writer begins executing, the destination buffer could be:

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claims. They would get paid ahead of all others and thus assume the least amount of risk. For this lower risk, they settle for a lower yield of 5 percent or $3.25 million. The $28 million in mezzanine notes are second in the claim line and thus assume additional risk. For this higher risk, they get a higher yield of 6.5 percent or $1.82 million. Finally, the $7 million of preferred shares issued by the CDO (the equity tranche) are last in the claim line and thus assume the greatest risk. For this highest level of risk, they are rewarded with the highest expected return of $13.3 percent or $930,000.

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