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    « CNN phishers trawl for victims | Main | A message from the Executive Director »

    20 August 2008

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    Not sure if I agree in your arguments regarding security metrics. Metrics are good if you can obtain them in an automated way. I am thankful for projects like the security metrics project which gives me an idea of what metrics I *could* measure. But although there are projects and catalogues like those it's still my problem which metrics I choose and why I obtain them (and what I do with them afterwards).

    Don't misunderstand me. I see no need in measuring the amount of viruses detected at my perimeter. Since those were filtered before reaching my network they never really were a problem. But I am interested in all those viruses which entered my systems and which successfully infected my systems. And most important, I want to obtain these numbers in an automated way. Just to use a simple example.

    You asked the following question: "How secure are we today compared to yesterday, or compared to our peers?"

    Now that is an interesting question. And you know what? That's one of those questions which made us start with SOMAP.org. We are constantly reinventing the wheel. And much worse, everybody is doing so on their own. How can we compare our own company with the companies of our peers when we do not share the same methodologies, the same assessment tools, the same metrics?

    It is time for an open source risk and compliance assessment tool which can be used to assess our environments and to compare our findings with others.

    But this text field is probably the wrong place to start such a discussion. Please drop me a note if you are interested to fully discuss this topic.

    Cheers,
    Adrian

    Thanks Adrian. I will certainly look at SOMAP.org

    A colleague from CERT has pointed me at the Center for Internet Security's "Security Metrics & Benchmarking Service". I must explore further. The CIS technical platform security guides at www.CIsecurity.org have been ideal to derive baseline technical security standards for various platforms so I'd like to know more.

    Meanwhile, I've found an excellent paper in CSO Magazine re Andrew Jaquith's take on metrics:

    http://www.csoonline.com/article/220462/A_Few_Good_Information_Security_Metrics

    It pre-empts most of the points I made in my blog posting. Andrew's book "Security Metrics: replacing fear, uncertainty and doubt" is a good read and I agree with most of what he says.

    Automating metrics collection/reporting is a separate issue to finding 'a few good security metrics' and has its own pitfalls, the main one being a bias towards metrics that can be collected and analysed in an automated fashion, which implies using data extracted from the IT systems. Unfortunately, some of the most interesting aspects of infosec are the people not the systems - for example, the effectiveness of policies and awareness activities can be measured by observing employee's changing behaviours. Only a few of those changes can be easily measured by the systems.

    Thanks for the comments Adrian and good luck with SOMAP.

    G.

    As the lead designer for the MetricsCenter site, I would like to say that I completely agree with your point that in security metrics, more is not necessarily better. Also, I fully acknowledge that there is a pervasive tendency to propose metrics based upon the not-particularly-selective criterion of STTCBM (“Security Things That Can Be Measured”).

    If I understand correctly, you would like to see a small collection of quantitative values that are a good characterization of the current security state of an organization as well as a measure of its dynamic rate of change (hopefully improvement) over time. For executive audiences this is critical. It is my belief that the best candidates for such metrics should first focus on outcomes as opposed to the policies, people, processes, and technologies that have been put in place to achieve those outcomes.

    As an example of an outcome, I would propose a couple of metrics that are very similar to those used now for general IT management (and SLA’s): Mean Time Between Security Incidents and Mean Time To Repair a Security Incident. These are just two examples. No doubt there are others of equal utility.

    A project has been launched by the Center for Internet Security ( www.cisecurity.org ) to define a few practical consensus metrics with participation from a cross-section of companies, government, consultants, academics, and metric experts. Outcome metrics are one focus of the group. I am sure that Steven Piliero (spiliero@cisecurity.org), leader of that CIS effort, would welcome your input on the current initial set of nine (9) consensus metrics the consensus group is working on.

    Having said this, however, once one turns to the problem of troubleshooting or tuning, one needs visibility of a more detailed sort. It is my belief that this use case generates a valid requirement for 10s of metrics, per target process, technology, or policy. For the TJX bad outcome (a huge Mean Time to Repair a Security Incident), troubleshooting would likely include metrics on the coverage of their vulnerability scanning process (it appears that perhaps 100s of wireless access points were not scanned), additional metrics on data leakage (for all the PII bleeding from their network), and yet more metrics to identify anomalous account activity. Managers and operations staff need these metrics to understand the effectiveness and efficiency of the myriads of contexts in which they must operate, as well as to drive improvement where needed.

    So, recognizing that there are hundreds of metrics that an organization may want to consider implementing, the Metrics Catalog at www.metricscenter.org provides an open, free, structured repository along with the capability (soon) for individuals to provide commentary on any metric—why they used it, how effective it was for a specific audience, any unanticipated side effects, proposals for clarification/improvement, or whatever. The structured repository supports mapping metrics to a business context (e.g. standards, regulations, best practices, functional areas, etc) as well as key word searching. The plan is to allow experts to add new metrics and contexts to the catalog, as well as new revisions and comments.

    Our hope is that MetricsCenter will become a living repository of metrics that represents the current and evolving science of measuring security—for all audiences. Like you, we are passionate about metrics and are actively investing in their advancement. IT security needs more science and less soothsaying.

    Elizabeth A. Nichols, Ph.D.
    CTO | PlexLogic
    Box 557 | Great Falls, VA 22066

    Great discussion. I see the problem with using "proxy" metrics, but I think it depends how closely you are to the employee/user's "risk decision point". With some interpretation and adjustments (subjective, I agree), I believe they can still provide valuable indications.

    However, I would like to get your takes on using Honey Sticks as "one" metric in the toolbox. I started The Honey Stick Project in early 2008 just as an experiment, to get some data to talk about. If you aren't familiar with it, I detect the opening of safe HTML files on randomly scattered USB drives (no software on the devices).

    But the more I work on the project, the more I realize that being able to detect when somebody uses an unauthorized device in their computer (assuming it is against their organization's published policies), can be a good way to detect risky behavior.

    The reason I say this is that the act of finding a device, picking it up and putting it into your computer is what I call a "forced risk decision". In other words, they have to consciously decide to use the device in light of all that they have been taught about the policies and good security practices.

    Technically, it simply uses an external image file reference in an HTML file on the device. When the file is opened, the request is logged at a webserver. It is safe and easy to detect, as long as the user's computer is on the Internet, and they double-click on the file, which launches the default browser and makes the request.

    I am now offering a free trial initiative, where an organization can request 10 filesets that I create with unique device ID numbers, and I email a report at the end of a month, with the raw data for the organization's devices.

    I realize we are only measuring one aspect of awareness with this approach. But it is designed to simulate a real risk scenario, as opposed to using "proxy" metrics from IT systems. The novelty of the approach also seems to capture the imagination of CIOs who see it as something that can grab people's attention.

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